GeoServer Web Map Tile Service A compliant implementation of WMTS service. OGC WMTS 1.0.0 NONE NONE http://geoserver.org KVP KVP KVP TUV_2020_ImageryNanumeaNanumangaNiutaoNiu_Sentinel2 This resource contains satellite imagery for Tuvalu. The imagery was collected on July 20, 2020, September 21, 2020, and October 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200921T223641_N0214_R115_T60MVU_20200922T002114 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAK_20200721T002156 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAJ_20200721T002156 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWU_20201012T002111 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWT_20201012T002111 S2A_MSIL2A_20200921T223641_N0214_R115_T60MUU_20200922T002114 175.88076392017703 -7.342225387511912 177.78101265330054 -5.517350243560113 tuv:TUV_2020_ImageryNanumeaNanumangaNiutaoNiu_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 31 31 EPSG:4326:5 16 17 63 63 EPSG:4326:6 33 34 126 127 EPSG:4326:7 67 69 253 254 EPSG:4326:8 135 138 506 508 EPSG:4326:9 271 276 1012 1017 EPSG:4326:10 543 553 2024 2035 EPSG:4326:11 1086 1107 4049 4070 EPSG:4326:12 2173 2215 8098 8141 EPSG:4326:13 4347 4430 16196 16283 EPSG:4326:14 8694 8860 32393 32566 EPSG:4326:15 17388 17720 64786 65132 EPSG:4326:16 34776 35441 129572 130264 EPSG:4326:17 69553 70882 259144 260528 EPSG:4326:18 139107 141764 518288 521056 EPSG:4326:19 278214 283529 1036577 1042112 EPSG:4326:20 556428 567059 2073155 2084225 EPSG:4326:21 1112857 1134119 4146311 4168450 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 31 31 EPSG:900913:6 32 33 63 63 EPSG:900913:7 65 66 126 127 EPSG:900913:8 131 133 253 254 EPSG:900913:9 263 266 506 508 EPSG:900913:10 527 532 1012 1017 EPSG:900913:11 1055 1065 2024 2035 EPSG:900913:12 2110 2131 4049 4070 EPSG:900913:13 4221 4263 8098 8141 EPSG:900913:14 8443 8527 16196 16283 EPSG:900913:15 16886 17054 32393 32566 EPSG:900913:16 33773 34108 64786 65132 EPSG:900913:17 67547 68216 129572 130264 EPSG:900913:18 135095 136433 259144 260528 EPSG:900913:19 270191 272866 518288 521056 EPSG:900913:20 540383 545732 1036577 1042112 EPSG:900913:21 1080766 1091465 2073155 2084225 EPSG:900913:22 2161533 2182930 4146311 4168450 EPSG:900913:23 4323066 4365860 8292622 8336901 EPSG:900913:24 8646133 8731720 16585245 16673803 EPSG:900913:25 17292266 17463441 33170491 33347607 EPSG:900913:26 34584533 34926883 66340982 66695214 EPSG:900913:27 69169067 69853766 132681965 133390429 EPSG:900913:28 138338135 139707533 265363930 266780859 EPSG:900913:29 276676270 279415067 530727861 533561718 EPSG:900913:30 553352541 558830134 1061455723 1067123436 TON_2020_ImageryHaapaiGroup_Sentinel2 This resource contains satellite imagery for the Haapia Group in Tonga. The imagery was collected on April 12, April 19, May 4, and May 27, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20200527T215919_N0214_R086_T01KFU_20200527T234510 S2B_MSIL2A_20200504T214859_N0214_R043_T01KGT_20200504T232933 S2A_MSIL2A_20200419T214911_N0214_R043_T01KGU_20200419T233911 S2A_MSIL2A_20200412T215911_N0214_R086_T01KFT_20200412T234540 -175.73667374592847 -20.70423479386256 -174.06923730072396 -19.436140051675387 ton:TON_2020_ImageryHaapaiGroup_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 19 19 0 1 EPSG:4326:6 38 39 1 2 EPSG:4326:7 77 78 3 4 EPSG:4326:8 155 157 6 8 EPSG:4326:9 311 314 12 16 EPSG:4326:10 622 629 24 33 EPSG:4326:11 1245 1259 48 67 EPSG:4326:12 2490 2519 97 134 EPSG:4326:13 4980 5038 194 269 EPSG:4326:14 9961 10076 388 539 EPSG:4326:15 19922 20153 776 1079 EPSG:4326:16 39844 40306 1552 2159 EPSG:4326:17 79688 80612 3104 4318 EPSG:4326:18 159377 161224 6208 8637 EPSG:4326:19 318755 322449 12417 17274 EPSG:4326:20 637511 644898 24835 34549 EPSG:4326:21 1275023 1289797 49671 69098 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 35 35 0 1 EPSG:900913:7 71 71 1 2 EPSG:900913:8 142 143 3 4 EPSG:900913:9 284 286 6 8 EPSG:900913:10 568 572 12 16 EPSG:900913:11 1136 1144 24 33 EPSG:900913:12 2273 2288 48 67 EPSG:900913:13 4547 4577 97 134 EPSG:900913:14 9094 9155 194 269 EPSG:900913:15 18188 18310 388 539 EPSG:900913:16 36376 36621 776 1079 EPSG:900913:17 72752 73243 1552 2159 EPSG:900913:18 145504 146487 3104 4318 EPSG:900913:19 291008 292975 6208 8637 EPSG:900913:20 582017 585950 12417 17274 EPSG:900913:21 1164035 1171900 24835 34549 EPSG:900913:22 2328071 2343801 49671 69098 EPSG:900913:23 4656143 4687603 99342 138196 EPSG:900913:24 9312286 9375206 198685 276393 EPSG:900913:25 18624573 18750413 397370 552787 EPSG:900913:26 37249147 37500827 794741 1105574 EPSG:900913:27 74498295 75001655 1589483 2211148 EPSG:900913:28 148996590 150003310 3178966 4422297 EPSG:900913:29 297993181 300006620 6357932 8844594 EPSG:900913:30 595986363 600013241 12715865 17689188 Global_2013_HoloceneEruptions_SmithsonianVOTW The Global Volcanism Program database currently contains 1422 volcanoes with eruptions during the Holocene period (approximately the last 10,000 years). This resource contains the mapped locations of the Holocene volcanoes thoughout the world in shapefile format. The Smithsonian Institution's Global Volcanism Program (GVP) is housed in the Department of Mineral Sciences, National Museum of Natural History, in Washington D.C. We are devoted to a better understanding of Earth's active volcanoes and their eruptions during the last 10,000 years. The mission of GVP is to document, understand, and disseminate information about global volcanic activity. We do this through four core functions: reporting, archiving, research, and outreach. The data systems that lie at our core have been in development since 1968 when GVP began documenting the eruptive histories of volcanoes. Reporting. GVP is unique in its documentation of current and past activity for all volcanoes on the planet active during the last 10,000 years. During the early stages of an eruption anywhere in the world we act as a clearinghouse of reports, data, and imagery. Reports are released in two formats. The Smithsonian / USGS Weekly Volcanic Activity Report provides timely information vetted by GVP staff about current eruptions. The Bulletin of the Global Volcanism Network provides comprehensive reporting on recent eruptions on a longer time horizon to allow incorporation of peer-reviewed literature and observatory reports. Archiving. Complementing our effort toward reporting of current eruptive activity is our database of volcanoes and eruptions that documents the last 10,000 years of Earth's volcanism. These databases and interpretations based on them were published in three editions of the book "Volcanoes of the World". Research. GVP researchers are curators in the Department of Mineral Sciences and maintain active research programs on volcanic products, processes, and the deep Earth that is the ultimate source of volcanism. Outreach. This website presents more than 7,000 reports on volcanic activity, provides access to the baseline data and eruptive histories of Holocene volcanoes, and makes available other resources to our international partners, scientists, civil-authorities, and the public. The Global Volcanism Program relies on an international network of collaborating individuals, programs and organizations, many of which are listed below: United States Geological Survey Volcano Hazards Program (USA). The Volcano Hazards Program monitors active and potentially active volcanoes, assesses their hazards, responds to volcanic crises, and conducts research on volcanoes. The Volcano Disaster Assistance Program (VDAP) (with the U.S. Office of Foreign Disaster Assistance) works to reduce fatalities and economic losses in countries experiencing a volcano emergency. Global Volcano Model (Bristol University and the British Geological Survey, UK). GVM is a growing international network that aims to create a sustainable, accessible information platform on volcanic hazard and risk. WOVOdat (Earth Observatory of Singapore). A collective record of volcano monitoring, worldwide - brought to you by the WOVO (World Organization of Volcano Observatories). Integrated Earth Data Applications (Lamont-Doherty Earth Observatory of Columbia University, USA). A community-based data facility to support, sustain, and advance the geosciences by providing data services for observational solid earth data from the Ocean, Earth, and Polar Sciences. VHub (The State University of New York at Buffalo, USA). An online resource for collaboration in volcanology research and risk mitigation. International Association of Volcanology and Chemistry of the Earth's Interior (IAVCEI). IAVCEI represents the primary international focus for: (1) research in volcanology, (2) efforts to mitigate volcanic disasters, and (3) research into closely related disciplines, such as igneous geochemistry and petrology, geochronology, volcanogenic mineral deposits, and the physics of the generation and ascent of magmas in the upper mantle and crust. IAVCEI has charged GVP with providing the official names and unique identifier numbers for the world's volcanoes. National Oceanographic and Atmospheric Administration (NOAA). Volcanic Ash Advisory Centers (VAACs) The International Civil Aviation Organization (ICAO) has established nine Volcanic Ash Advisory Centers tasked with monitoring Volcanic Ash plumes within their assigned airspace. -180.0 -90.0 180.0 90.0 global:Global_2013_HoloceneEruptions_SmithsonianVOTW image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 Global_2000-2014_SurfaceSalinityMean_BioOracle2 Raster data representing the mean levels of salinity in practical salinity scale (PSS) for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Raster data representing the mean levels of salinity in practical salinity scale (PSS) for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceSalinityMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 World Database on Protected Areas Group The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. The WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UN Environment World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the Protected Planet website where the data is both viewable and downloadable. -180.0 -85.06 180.0 85.06 pipap:World Database on Protected Areas Group text/plain text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 15 0 31 EPSG:4326:5 0 31 0 63 EPSG:4326:6 1 62 0 127 EPSG:4326:7 3 124 0 255 EPSG:4326:8 7 248 0 511 EPSG:4326:9 14 497 0 1023 EPSG:4326:10 28 995 0 2047 EPSG:4326:11 56 1991 0 4095 EPSG:4326:12 112 3983 0 8191 EPSG:4326:13 224 7967 0 16383 EPSG:4326:14 449 15934 0 32767 EPSG:4326:15 899 31868 0 65535 EPSG:4326:16 1798 63737 0 131071 EPSG:4326:17 3597 127474 0 262143 EPSG:4326:18 7194 254949 0 524287 EPSG:4326:19 14388 509899 0 1048575 EPSG:4326:20 28777 1019798 0 2097151 EPSG:4326:21 57555 2039596 0 4194303 EPSG:900913 SLB_2020_ImageryShorthandIslands_Sentinel2 This resource contains satellite imagery for the Shorthand Islands in the Solomon Islands. The imagery was collected on March 29, October 10, and October 15, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200329T235741_N0214_R030_T56MQT_20200330T015424 S2B_MSIL1C_20201010T235749_N0209_R030_T56MRS_20201011T011117 S2A_MSIL2A_20201015T235751_N0214_R030_T56MQS_20201016T015850 S2A_MSIL2A_20201015T235751_N0214_R030_T56MRT_20201016T015850 155.37520966193375 -7.4677633091978155 156.37025551222231 -6.597778478690702 slb:SLB_2020_ImageryShorthandIslands_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 14 14 EPSG:4326:4 8 8 29 29 EPSG:4326:5 17 17 59 59 EPSG:4326:6 34 34 119 119 EPSG:4326:7 68 69 238 239 EPSG:4326:8 137 138 476 478 EPSG:4326:9 274 277 953 956 EPSG:4326:10 549 554 1907 1913 EPSG:4326:11 1099 1108 3815 3827 EPSG:4326:12 2198 2217 7631 7654 EPSG:4326:13 4396 4435 15263 15308 EPSG:4326:14 8792 8871 30526 30617 EPSG:4326:15 17585 17743 61053 61234 EPSG:4326:16 35170 35486 122106 122468 EPSG:4326:17 70340 70973 244212 244937 EPSG:4326:18 140680 141947 488425 489874 EPSG:4326:19 281361 283895 976851 979749 EPSG:4326:20 562722 567790 1953702 1959498 EPSG:4326:21 1125445 1135581 3907404 3918997 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 14 14 EPSG:900913:5 16 16 29 29 EPSG:900913:6 33 33 59 59 EPSG:900913:7 66 66 119 119 EPSG:900913:8 132 133 238 239 EPSG:900913:9 265 266 476 478 EPSG:900913:10 530 533 953 956 EPSG:900913:11 1061 1066 1907 1913 EPSG:900913:12 2123 2133 3815 3827 EPSG:900913:13 4246 4266 7631 7654 EPSG:900913:14 8492 8532 15263 15308 EPSG:900913:15 16985 17065 30526 30617 EPSG:900913:16 33971 34131 61053 61234 EPSG:900913:17 67943 68262 122106 122468 EPSG:900913:18 135887 136525 244212 244937 EPSG:900913:19 271774 273050 488425 489874 EPSG:900913:20 543548 546101 976851 979749 EPSG:900913:21 1087096 1092202 1953702 1959498 EPSG:900913:22 2174192 2184405 3907404 3918997 EPSG:900913:23 4348384 4368810 7814808 7837995 EPSG:900913:24 8696768 8737620 15629617 15675990 EPSG:900913:25 17393537 17475241 31259235 31351980 EPSG:900913:26 34787074 34950482 62518470 62703960 EPSG:900913:27 69574148 69900964 125036940 125407920 EPSG:900913:28 139148297 139801928 250073881 250815841 EPSG:900913:29 278296594 279603857 500147763 501631682 EPSG:900913:30 556593188 559207715 1000295526 1003263365 KIR_2020_ImageryGilbertIslandsNorth_Sentinel2 This resource contains satellite imagery for Makin, Butaitai, Marakei, Abalang, Tarawa, Maiana, Abemama, Aranuka, and Kuria islands in the Gilbert Island chain in Kiribati. The imagery was collected on June 12 and June 14, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200612T230341_N0214_R101_T59NPD_20200613T005752 S2A_MSIL2A_20200612T230341_N0214_R101_T59NQD_20200613T005752 S2B_MSIL2A_20200614T225459_N0214_R058_T59NPC_20200615T004548 S2B_MSIL2A_20200614T225459_N0214_R058_T59NQA_20200615T004548 S2B_MSIL2A_20200614T225459_N0214_R058_T59NQB_20200615T004548 S2B_MSIL2A_20200614T225459_N0214_R058_T59NQC_20200615T004548 S2B_MSIL2A_20200614T225459_N0214_R058_T59NRA_20200615T004548 172.50858950694231 -0.03430705386637727 174.14656679062807 3.4045294837207085 kir:KIR_2020_ImageryGilbertIslandsNorth_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 3 3 EPSG:4326:2 1 2 7 7 EPSG:4326:3 3 4 15 15 EPSG:4326:4 7 8 31 31 EPSG:4326:5 15 16 62 62 EPSG:4326:6 30 32 125 125 EPSG:4326:7 61 64 250 251 EPSG:4326:8 123 128 501 503 EPSG:4326:9 246 256 1002 1007 EPSG:4326:10 492 512 2005 2014 EPSG:4326:11 985 1024 4010 4029 EPSG:4326:12 1970 2048 8021 8058 EPSG:4326:13 3941 4097 16043 16117 EPSG:4326:14 7882 8195 32086 32235 EPSG:4326:15 15764 16390 64172 64470 EPSG:4326:16 31528 32780 128344 128940 EPSG:4326:17 63056 65560 256688 257881 EPSG:4326:18 126113 131121 513377 515763 EPSG:4326:19 252227 262243 1026755 1031526 EPSG:4326:20 504455 524487 2053511 2063053 EPSG:4326:21 1008910 1048975 4107022 4126106 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 3 3 EPSG:900913:3 3 4 7 7 EPSG:900913:4 7 8 15 15 EPSG:900913:5 15 16 31 31 EPSG:900913:6 31 32 62 62 EPSG:900913:7 62 64 125 125 EPSG:900913:8 125 128 250 251 EPSG:900913:9 251 256 501 503 EPSG:900913:10 502 512 1002 1007 EPSG:900913:11 1004 1024 2005 2014 EPSG:900913:12 2009 2048 4010 4029 EPSG:900913:13 4018 4096 8021 8058 EPSG:900913:14 8036 8193 16043 16117 EPSG:900913:15 16073 16387 32086 32235 EPSG:900913:16 32147 32774 64172 64470 EPSG:900913:17 64295 65548 128344 128940 EPSG:900913:18 128591 131096 256688 257881 EPSG:900913:19 257182 262193 513377 515763 EPSG:900913:20 514365 524387 1026755 1031526 EPSG:900913:21 1028731 1048775 2053511 2063053 EPSG:900913:22 2057462 2097551 4107022 4126106 EPSG:900913:23 4114925 4195103 8214045 8252213 EPSG:900913:24 8229851 8390206 16428090 16504426 EPSG:900913:25 16459703 16780413 32856181 33008852 EPSG:900913:26 32919407 33560827 65712363 66017704 EPSG:900913:27 65838815 67121654 131424727 132035409 EPSG:900913:28 131677631 134243309 262849455 264070819 EPSG:900913:29 263355263 268486618 525698910 528141639 EPSG:900913:30 526710526 536973236 1051397821 1056283279 KIR_2019_Hillshade30mGilbertIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 168.99986111111102 -3.0001388888888485 177.00013888888873 4.000138888888871 kir:KIR_2019_Hillshade30mGilbertIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 3 3 EPSG:4326:2 1 2 7 7 EPSG:4326:3 3 4 15 15 EPSG:4326:4 7 8 31 31 EPSG:4326:5 15 16 62 63 EPSG:4326:6 30 33 124 126 EPSG:4326:7 61 66 248 253 EPSG:4326:8 122 132 496 507 EPSG:4326:9 244 264 992 1015 EPSG:4326:10 489 529 1985 2030 EPSG:4326:11 978 1058 3970 4061 EPSG:4326:12 1956 2116 7941 8123 EPSG:4326:13 3913 4232 15883 16247 EPSG:4326:14 7827 8465 31766 32494 EPSG:4326:15 15655 16930 63533 64989 EPSG:4326:16 31311 33860 127066 129979 EPSG:4326:17 62623 67720 254133 259959 EPSG:4326:18 125246 135441 508267 519919 EPSG:4326:19 250492 270882 1016535 1039838 EPSG:4326:20 500985 541765 2033071 2079676 EPSG:4326:21 1001971 1083530 4066143 4159353 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 3 3 EPSG:900913:3 3 4 7 7 EPSG:900913:4 7 8 15 15 EPSG:900913:5 15 16 31 31 EPSG:900913:6 31 32 62 63 EPSG:900913:7 62 65 124 126 EPSG:900913:8 125 130 248 253 EPSG:900913:9 250 260 496 507 EPSG:900913:10 500 520 992 1015 EPSG:900913:11 1001 1041 1985 2030 EPSG:900913:12 2002 2082 3970 4061 EPSG:900913:13 4004 4164 7941 8123 EPSG:900913:14 8009 8328 15883 16247 EPSG:900913:15 16019 16657 31766 32494 EPSG:900913:16 32039 33314 63533 64989 EPSG:900913:17 64078 66628 127066 129979 EPSG:900913:18 128156 133257 254133 259959 EPSG:900913:19 256313 266515 508267 519919 EPSG:900913:20 512627 533030 1016535 1039838 EPSG:900913:21 1025254 1066061 2033071 2079676 EPSG:900913:22 2050509 2132122 4066143 4159353 EPSG:900913:23 4101018 4264244 8132286 8318706 EPSG:900913:24 8202036 8528488 16264572 16637412 EPSG:900913:25 16404072 17056977 32529144 33274824 EPSG:900913:26 32808145 34113954 65058289 66549649 EPSG:900913:27 65616291 68227908 130116578 133099298 EPSG:900913:28 131232582 136455816 260233157 266198597 EPSG:900913:29 262465164 272911633 520466315 532397194 EPSG:900913:30 524930328 545823266 1040932631 1064794389 Global_2013_HoloceneVolcanoes_SmithsonianVOTW The Global Volcanism Program database currently contains 1422 volcanoes with eruptions during the Holocene period (approximately the last 10,000 years). This resource contains the mapped locations of the Holocene volcanoes thoughout the world in shapefile format. The Smithsonian Institution's Global Volcanism Program (GVP) is housed in the Department of Mineral Sciences, National Museum of Natural History, in Washington D.C. We are devoted to a better understanding of Earth's active volcanoes and their eruptions during the last 10,000 years. The mission of GVP is to document, understand, and disseminate information about global volcanic activity. We do this through four core functions: reporting, archiving, research, and outreach. The data systems that lie at our core have been in development since 1968 when GVP began documenting the eruptive histories of volcanoes. Reporting. GVP is unique in its documentation of current and past activity for all volcanoes on the planet active during the last 10,000 years. During the early stages of an eruption anywhere in the world we act as a clearinghouse of reports, data, and imagery. Reports are released in two formats. The Smithsonian / USGS Weekly Volcanic Activity Report provides timely information vetted by GVP staff about current eruptions. The Bulletin of the Global Volcanism Network provides comprehensive reporting on recent eruptions on a longer time horizon to allow incorporation of peer-reviewed literature and observatory reports. Archiving. Complementing our effort toward reporting of current eruptive activity is our database of volcanoes and eruptions that documents the last 10,000 years of Earth's volcanism. These databases and interpretations based on them were published in three editions of the book "Volcanoes of the World". Research. GVP researchers are curators in the Department of Mineral Sciences and maintain active research programs on volcanic products, processes, and the deep Earth that is the ultimate source of volcanism. Outreach. This website presents more than 7,000 reports on volcanic activity, provides access to the baseline data and eruptive histories of Holocene volcanoes, and makes available other resources to our international partners, scientists, civil-authorities, and the public. The Global Volcanism Program relies on an international network of collaborating individuals, programs and organizations, many of which are listed below: United States Geological Survey Volcano Hazards Program (USA). The Volcano Hazards Program monitors active and potentially active volcanoes, assesses their hazards, responds to volcanic crises, and conducts research on volcanoes. The Volcano Disaster Assistance Program (VDAP) (with the U.S. Office of Foreign Disaster Assistance) works to reduce fatalities and economic losses in countries experiencing a volcano emergency. Global Volcano Model (Bristol University and the British Geological Survey, UK). GVM is a growing international network that aims to create a sustainable, accessible information platform on volcanic hazard and risk. WOVOdat (Earth Observatory of Singapore). A collective record of volcano monitoring, worldwide - brought to you by the WOVO (World Organization of Volcano Observatories). Integrated Earth Data Applications (Lamont-Doherty Earth Observatory of Columbia University, USA). A community-based data facility to support, sustain, and advance the geosciences by providing data services for observational solid earth data from the Ocean, Earth, and Polar Sciences. VHub (The State University of New York at Buffalo, USA). An online resource for collaboration in volcanology research and risk mitigation. International Association of Volcanology and Chemistry of the Earth's Interior (IAVCEI). IAVCEI represents the primary international focus for: (1) research in volcanology, (2) efforts to mitigate volcanic disasters, and (3) research into closely related disciplines, such as igneous geochemistry and petrology, geochronology, volcanogenic mineral deposits, and the physics of the generation and ascent of magmas in the upper mantle and crust. IAVCEI has charged GVP with providing the official names and unique identifier numbers for the world's volcanoes. National Oceanographic and Atmospheric Administration (NOAA). Volcanic Ash Advisory Centers (VAACs) The International Civil Aviation Organization (ICAO) has established nine Volcanic Ash Advisory Centers tasked with monitoring Volcanic Ash plumes within their assigned airspace. -179.97 -78.5 179.58 85.608 global:Global_2013_HoloceneVolcanoes_SmithsonianVOTW image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 59 0 127 EPSG:4326:7 3 119 0 255 EPSG:4326:8 6 239 0 511 EPSG:4326:9 12 479 0 1022 EPSG:4326:10 24 958 0 2045 EPSG:4326:11 49 1917 0 4091 EPSG:4326:12 99 3834 0 8182 EPSG:4326:13 199 7668 1 16364 EPSG:4326:14 399 15337 2 32729 EPSG:4326:15 799 30674 5 65459 EPSG:4326:16 1599 61348 10 130919 EPSG:4326:17 3198 122697 21 261838 EPSG:4326:18 6396 245395 43 523676 EPSG:4326:19 12792 490791 87 1047352 EPSG:4326:20 25585 981583 174 2094705 EPSG:4326:21 51170 1963167 349 4189410 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 0 55 0 63 EPSG:900913:7 0 110 0 127 EPSG:900913:8 0 221 0 255 EPSG:900913:9 0 443 0 511 EPSG:900913:10 0 886 0 1022 EPSG:900913:11 0 1772 0 2045 EPSG:900913:12 0 3544 0 4091 EPSG:900913:13 0 7089 0 8182 EPSG:900913:14 0 14178 1 16364 EPSG:900913:15 0 28356 2 32729 EPSG:900913:16 0 56712 5 65459 EPSG:900913:17 0 113425 10 130919 EPSG:900913:18 0 226850 21 261838 EPSG:900913:19 0 453700 43 523676 EPSG:900913:20 0 907401 87 1047352 EPSG:900913:21 0 1814803 174 2094705 EPSG:900913:22 0 3629607 349 4189410 EPSG:900913:23 0 7259215 699 8378821 EPSG:900913:24 0 14518431 1398 16757642 EPSG:900913:25 0 29036863 2796 33515285 EPSG:900913:26 0 58073726 5592 67030570 EPSG:900913:27 0 116147453 11184 134061140 EPSG:900913:28 0 232294907 22369 268122281 EPSG:900913:29 0 464589814 44739 536244562 EPSG:900913:30 0 929179629 89478 1072489125 Global_2013_AbyssalClassification_BlueHabitats Global distribution of abyssal class seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -180.0 -76.42115940385702 180.0 89.99999999966897 global:Global_2013_AbyssalClassification_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 0 127 EPSG:4326:7 0 118 0 255 EPSG:4326:8 0 236 0 511 EPSG:4326:9 0 473 0 1023 EPSG:4326:10 0 946 0 2047 EPSG:4326:11 0 1893 0 4095 EPSG:4326:12 0 3787 0 8191 EPSG:4326:13 0 7574 0 16383 EPSG:4326:14 0 15148 0 32767 EPSG:4326:15 0 30296 0 65535 EPSG:4326:16 0 60592 0 131071 EPSG:4326:17 0 121184 0 262143 EPSG:4326:18 0 242368 0 524287 EPSG:4326:19 0 484736 0 1048575 EPSG:4326:20 0 969473 0 2097151 EPSG:4326:21 0 1938947 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 53 0 63 EPSG:900913:7 0 107 0 127 EPSG:900913:8 0 214 0 255 EPSG:900913:9 0 429 0 511 EPSG:900913:10 0 858 0 1023 EPSG:900913:11 0 1717 0 2047 EPSG:900913:12 0 3435 0 4095 EPSG:900913:13 0 6870 0 8191 EPSG:900913:14 0 13741 0 16383 EPSG:900913:15 0 27482 0 32767 EPSG:900913:16 0 54965 0 65535 EPSG:900913:17 0 109931 0 131071 EPSG:900913:18 0 219862 0 262143 EPSG:900913:19 0 439724 0 524287 EPSG:900913:20 0 879449 0 1048575 EPSG:900913:21 0 1758898 0 2097151 EPSG:900913:22 0 3517796 0 4194303 EPSG:900913:23 0 7035593 0 8388607 EPSG:900913:24 0 14071186 0 16777215 EPSG:900913:25 0 28142372 0 33554431 EPSG:900913:26 0 56284744 0 67108863 EPSG:900913:27 0 112569488 0 134217727 EPSG:900913:28 0 225138977 0 268435455 EPSG:900913:29 0 450277955 0 536870911 EPSG:900913:30 0 900555910 0 1073741823 FSM_2005_Hillshade10mChuuk_USGS Hillshade derived from USGS 10-meter DEM. 151.4475901388118 7.065092881732372 152.0867596446419 7.680651171571353 fsm:FSM_2005_Hillshade10mChuuk_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 14 14 EPSG:4326:4 7 7 29 29 EPSG:4326:5 14 14 58 59 EPSG:4326:6 29 29 117 118 EPSG:4326:7 58 58 235 236 EPSG:4326:8 117 117 471 472 EPSG:4326:9 234 235 942 944 EPSG:4326:10 468 471 1885 1889 EPSG:4326:11 936 943 3771 3778 EPSG:4326:12 1873 1887 7542 7556 EPSG:4326:13 3746 3774 15084 15113 EPSG:4326:14 7492 7548 30169 30227 EPSG:4326:15 14985 15097 60338 60454 EPSG:4326:16 29971 30195 120676 120909 EPSG:4326:17 59943 60391 241352 241818 EPSG:4326:18 119886 120782 482705 483636 EPSG:4326:19 239772 241565 965411 967272 EPSG:4326:20 479544 483130 1930822 1934545 EPSG:4326:21 959089 966261 3861644 3869091 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 14 14 EPSG:900913:5 15 15 29 29 EPSG:900913:6 30 30 58 59 EPSG:900913:7 61 61 117 118 EPSG:900913:8 122 122 235 236 EPSG:900913:9 245 245 471 472 EPSG:900913:10 490 491 942 944 EPSG:900913:11 980 983 1885 1889 EPSG:900913:12 1960 1967 3771 3778 EPSG:900913:13 3920 3934 7542 7556 EPSG:900913:14 7841 7869 15084 15113 EPSG:900913:15 15682 15739 30169 30227 EPSG:900913:16 31365 31478 60338 60454 EPSG:900913:17 62731 62957 120676 120909 EPSG:900913:18 125462 125914 241352 241818 EPSG:900913:19 250924 251828 482705 483636 EPSG:900913:20 501849 503657 965411 967272 EPSG:900913:21 1003698 1007314 1930822 1934545 EPSG:900913:22 2007396 2014628 3861644 3869091 EPSG:900913:23 4014793 4029256 7723288 7738182 EPSG:900913:24 8029586 8058513 15446577 15476364 EPSG:900913:25 16059173 16117026 30893154 30952729 EPSG:900913:26 32118347 32234052 61786309 61905458 EPSG:900913:27 64236694 64468105 123572618 123810917 EPSG:900913:28 128473389 128936211 247145236 247621835 EPSG:900913:29 256946778 257872423 494290472 495243670 EPSG:900913:30 513893556 515744846 988580944 990487341 TUV_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -180.0 -9.000425057536336 180.0 4.000095118593202 tuv:TUV_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 3 4 0 15 EPSG:4326:4 7 8 0 31 EPSG:4326:5 15 17 0 63 EPSG:4326:6 30 35 0 127 EPSG:4326:7 61 70 0 255 EPSG:4326:8 122 140 0 511 EPSG:4326:9 244 281 0 1023 EPSG:4326:10 489 563 0 2047 EPSG:4326:11 978 1126 0 4095 EPSG:4326:12 1956 2252 0 8191 EPSG:4326:13 3913 4505 0 16383 EPSG:4326:14 7827 9011 0 32767 EPSG:4326:15 15655 18022 0 65535 EPSG:4326:16 31311 36044 0 131071 EPSG:4326:17 62623 72089 0 262143 EPSG:4326:18 125246 144179 0 524287 EPSG:4326:19 250492 288359 0 1048575 EPSG:4326:20 500985 576719 0 2097151 EPSG:4326:21 1001971 1153438 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 7 8 0 15 EPSG:900913:5 15 16 0 31 EPSG:900913:6 31 33 0 63 EPSG:900913:7 62 67 0 127 EPSG:900913:8 125 134 0 255 EPSG:900913:9 250 268 0 510 EPSG:900913:10 500 537 0 1020 EPSG:900913:11 1001 1075 0 2040 EPSG:900913:12 2002 2150 0 4080 EPSG:900913:13 4004 4301 0 8161 EPSG:900913:14 8009 8603 0 16323 EPSG:900913:15 16019 17206 0 32646 EPSG:900913:16 32039 34413 0 65293 EPSG:900913:17 64078 68826 0 130586 EPSG:900913:18 128156 137653 0 261173 EPSG:900913:19 256313 275306 0 522346 EPSG:900913:20 512627 550612 0 1044692 EPSG:900913:21 1025254 1101224 0 2089385 EPSG:900913:22 2050509 2202448 1 4178770 EPSG:900913:23 4101019 4404897 2 8357540 EPSG:900913:24 8202038 8809794 4 16715080 EPSG:900913:25 16404076 17619588 9 33430161 EPSG:900913:26 32808153 35239176 18 66860323 EPSG:900913:27 65616307 70478352 36 133720647 EPSG:900913:28 131232614 140956704 73 267441294 EPSG:900913:29 262465229 281913408 146 534882589 EPSG:900913:30 524930459 563826816 293 1069765178 PLW_2020_Imagery_Sentinel2 This resource contains satellite imagery for Palau. The imagery was collected on April 24, 2020. SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20200424T013449_N0214_R031_T53NLH_20200424T032337 S2B_MSIL2A_20200424T013449_N0214_R031_T53NMH_20200424T032337 S2B_MSIL2A_20200424T013449_N0214_R031_T53NMJ_20200424T032337 134.08386309000764 6.840166576300976 135.0156567374725 8.147784186407714 plw:PLW_2020_Imagery_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 6 7 EPSG:4326:3 3 3 13 14 EPSG:4326:4 7 7 27 28 EPSG:4326:5 14 14 55 56 EPSG:4326:6 29 29 111 112 EPSG:4326:7 58 59 223 224 EPSG:4326:8 116 118 446 448 EPSG:4326:9 232 236 893 896 EPSG:4326:10 465 473 1786 1792 EPSG:4326:11 931 946 3573 3584 EPSG:4326:12 1862 1892 7147 7168 EPSG:4326:13 3725 3784 14294 14336 EPSG:4326:14 7450 7569 28588 28673 EPSG:4326:15 14900 15138 57177 57346 EPSG:4326:16 29801 30277 114354 114693 EPSG:4326:17 59602 60555 228708 229387 EPSG:4326:18 119205 121110 457417 458774 EPSG:4326:19 238411 242220 914835 917549 EPSG:4326:20 476823 484441 1829671 1835099 EPSG:4326:21 953647 968882 3659342 3670198 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 6 7 EPSG:900913:4 7 7 13 14 EPSG:900913:5 15 15 27 28 EPSG:900913:6 30 30 55 56 EPSG:900913:7 61 61 111 112 EPSG:900913:8 122 123 223 224 EPSG:900913:9 244 246 446 448 EPSG:900913:10 488 492 893 896 EPSG:900913:11 977 984 1786 1792 EPSG:900913:12 1954 1969 3573 3584 EPSG:900913:13 3909 3939 7147 7168 EPSG:900913:14 7819 7879 14294 14336 EPSG:900913:15 15639 15759 28588 28673 EPSG:900913:16 31279 31519 57177 57346 EPSG:900913:17 62559 63039 114354 114693 EPSG:900913:18 125118 126079 228708 229387 EPSG:900913:19 250237 252158 457417 458774 EPSG:900913:20 500475 504317 914835 917549 EPSG:900913:21 1000950 1008634 1829671 1835099 EPSG:900913:22 2001901 2017268 3659342 3670198 EPSG:900913:23 4003803 4034536 7318684 7340396 EPSG:900913:24 8007607 8069073 14637368 14680793 EPSG:900913:25 16015214 16138146 29274737 29361587 EPSG:900913:26 32030429 32276292 58549475 58723174 EPSG:900913:27 64060859 64552585 117098951 117446349 EPSG:900913:28 128121718 129105171 234197902 234892698 EPSG:900913:29 256243437 258210342 468395805 469785397 EPSG:900913:30 512486875 516420685 936791611 939570794 FJI_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -180.0 -22.000354229559466 180.0 -11.99986111111039 fji:FJI_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 1 1 0 3 EPSG:4326:2 2 2 0 7 EPSG:4326:3 4 4 0 15 EPSG:4326:4 9 9 0 31 EPSG:4326:5 18 19 0 63 EPSG:4326:6 36 39 0 127 EPSG:4326:7 72 79 0 255 EPSG:4326:8 145 159 0 511 EPSG:4326:9 290 318 0 1023 EPSG:4326:10 580 637 0 2047 EPSG:4326:11 1160 1274 0 4095 EPSG:4326:12 2321 2548 0 8191 EPSG:4326:13 4642 5097 0 16383 EPSG:4326:14 9284 10194 0 32767 EPSG:4326:15 18568 20389 0 65535 EPSG:4326:16 37137 40778 0 131071 EPSG:4326:17 74274 81556 0 262143 EPSG:4326:18 148548 163112 0 524287 EPSG:4326:19 297096 326224 0 1048575 EPSG:4326:20 594192 652449 0 2097151 EPSG:4326:21 1188384 1304898 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 1 EPSG:900913:2 2 2 0 3 EPSG:900913:3 4 4 0 7 EPSG:900913:4 8 9 0 15 EPSG:900913:5 17 18 0 31 EPSG:900913:6 34 36 0 63 EPSG:900913:7 68 72 0 127 EPSG:900913:8 136 144 0 255 EPSG:900913:9 273 288 0 510 EPSG:900913:10 546 576 0 1021 EPSG:900913:11 1092 1152 0 2042 EPSG:900913:12 2185 2304 0 4084 EPSG:900913:13 4371 4609 0 8169 EPSG:900913:14 8742 9218 0 16338 EPSG:900913:15 17484 18437 0 32676 EPSG:900913:16 34968 36875 0 65353 EPSG:900913:17 69937 73750 0 130707 EPSG:900913:18 139874 147500 0 261415 EPSG:900913:19 279749 295001 0 522831 EPSG:900913:20 559498 590003 0 1045663 EPSG:900913:21 1118996 1180007 0 2091326 EPSG:900913:22 2237993 2360015 1 4182653 EPSG:900913:23 4475987 4720031 2 8365307 EPSG:900913:24 8951975 9440063 4 16730614 EPSG:900913:25 17903951 18880127 8 33461228 EPSG:900913:26 35807903 37760255 17 66922457 EPSG:900913:27 71615806 75520511 35 133844914 EPSG:900913:28 143231613 151041023 70 267689828 EPSG:900913:29 286463226 302082046 141 535379657 EPSG:900913:30 572926453 604164093 282 1070759315 PNG_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 139.99986111111102 -12.000138888888836 157.00013888888876 1.38888888916E-4 png:PNG_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 3 3 EPSG:4326:2 1 2 7 7 EPSG:4326:3 3 4 14 14 EPSG:4326:4 7 9 28 29 EPSG:4326:5 15 18 56 59 EPSG:4326:6 31 36 113 119 EPSG:4326:7 63 72 227 239 EPSG:4326:8 127 145 455 479 EPSG:4326:9 255 290 910 958 EPSG:4326:10 511 580 1820 1917 EPSG:4326:11 1023 1160 3640 3834 EPSG:4326:12 2047 2321 7281 7668 EPSG:4326:13 4095 4642 14563 15337 EPSG:4326:14 8191 9284 29127 30674 EPSG:4326:15 16383 18568 58254 61349 EPSG:4326:16 32767 37137 116508 122698 EPSG:4326:17 65535 74274 233016 245396 EPSG:4326:18 131071 148548 466033 490792 EPSG:4326:19 262143 297096 932067 981584 EPSG:4326:20 524287 594193 1864134 1963168 EPSG:4326:21 1048574 1188387 3728268 3926336 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 3 3 EPSG:900913:3 3 4 7 7 EPSG:900913:4 7 8 14 14 EPSG:900913:5 15 17 28 29 EPSG:900913:6 31 34 56 59 EPSG:900913:7 63 68 113 119 EPSG:900913:8 127 136 227 239 EPSG:900913:9 255 273 455 479 EPSG:900913:10 511 546 910 958 EPSG:900913:11 1023 1092 1820 1917 EPSG:900913:12 2047 2185 3640 3834 EPSG:900913:13 4095 4371 7281 7668 EPSG:900913:14 8191 8742 14563 15337 EPSG:900913:15 16383 17484 29127 30674 EPSG:900913:16 32767 34968 58254 61349 EPSG:900913:17 65535 69937 116508 122698 EPSG:900913:18 131071 139874 233016 245396 EPSG:900913:19 262143 279749 466033 490792 EPSG:900913:20 524287 559499 932067 981584 EPSG:900913:21 1048575 1118998 1864134 1963168 EPSG:900913:22 2097150 2237997 3728268 3926336 EPSG:900913:23 4194300 4475994 7456537 7852672 EPSG:900913:24 8388601 8951989 14913074 15705344 EPSG:900913:25 16777203 17903978 29826148 31410689 EPSG:900913:26 33554406 35807956 59652297 62821379 EPSG:900913:27 67108812 71615912 119304595 125642758 EPSG:900913:28 134217624 143231825 238609190 251285516 EPSG:900913:29 268435248 286463650 477218381 502571033 EPSG:900913:30 536870497 572927300 954436762 1005142066 Global_2013_Shelf_BlueHabitats Global distribution of shelf seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999994986 -78.68697166446958 180.0 84.20735408192564 global:Global_2013_Shelf_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 1 29 0 63 EPSG:4326:6 2 59 0 127 EPSG:4326:7 4 119 0 255 EPSG:4326:8 8 239 0 511 EPSG:4326:9 16 479 0 1023 EPSG:4326:10 32 959 0 2047 EPSG:4326:11 65 1919 0 4095 EPSG:4326:12 131 3838 0 8191 EPSG:4326:13 263 7677 0 16383 EPSG:4326:14 527 15354 0 32767 EPSG:4326:15 1054 30708 0 65535 EPSG:4326:16 2109 61417 0 131071 EPSG:4326:17 4218 122834 0 262143 EPSG:4326:18 8436 245668 0 524287 EPSG:4326:19 16872 491336 0 1048575 EPSG:4326:20 33744 982672 0 2097151 EPSG:4326:21 67489 1965345 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 1 55 0 63 EPSG:900913:7 3 111 0 127 EPSG:900913:8 6 222 0 255 EPSG:900913:9 12 444 0 511 EPSG:900913:10 25 888 0 1023 EPSG:900913:11 51 1777 0 2047 EPSG:900913:12 102 3555 0 4095 EPSG:900913:13 205 7110 0 8191 EPSG:900913:14 411 14221 0 16383 EPSG:900913:15 822 28442 0 32767 EPSG:900913:16 1644 56884 0 65535 EPSG:900913:17 3288 113769 0 131071 EPSG:900913:18 6577 227538 0 262143 EPSG:900913:19 13155 455077 0 524287 EPSG:900913:20 26311 910155 0 1048575 EPSG:900913:21 52622 1820311 0 2097151 EPSG:900913:22 105244 3640622 0 4194303 EPSG:900913:23 210489 7281245 0 8388607 EPSG:900913:24 420979 14562491 0 16777215 EPSG:900913:25 841959 29124983 0 33554431 EPSG:900913:26 1683919 58249967 0 67108863 EPSG:900913:27 3367839 116499934 0 134217727 EPSG:900913:28 6735679 232999868 0 268435455 EPSG:900913:29 13471359 465999736 0 536870911 EPSG:900913:30 26942719 931999473 0 1073741823 Global_2018_ModelledSeagrass30arcsec_IMSUA This is a MaxEnt model map of the global distribution of the seagrass biome. Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). This map shows the suitable habitats for the seagrass distribution at global scale. Citation: Jayathilake D.R.M., Costello M.J. 2018. A modelled global distribution of the seagrass biome. Biological Conservation. https://doi.org/10.1016/j.biocon.2018.07.009 Use Constraints: Creative Commons Attribution 4.0 Unported (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/. -180.0 -36.69071626181019 180.0 54.41011476676297 global:Global_2018_ModelledSeagrass30arcsec_IMSUA image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 2 0 7 EPSG:4326:3 1 5 0 15 EPSG:4326:4 3 11 0 31 EPSG:4326:5 6 22 0 63 EPSG:4326:6 12 45 0 127 EPSG:4326:7 25 90 0 255 EPSG:4326:8 50 180 0 511 EPSG:4326:9 101 360 0 1023 EPSG:4326:10 202 720 0 2047 EPSG:4326:11 404 1441 0 4095 EPSG:4326:12 809 2882 0 8191 EPSG:4326:13 1619 5765 0 16383 EPSG:4326:14 3239 11531 0 32767 EPSG:4326:15 6478 23063 0 65535 EPSG:4326:16 12957 46126 0 131071 EPSG:4326:17 25915 92253 0 262143 EPSG:4326:18 51831 184506 0 524287 EPSG:4326:19 103663 369013 0 1048575 EPSG:4326:20 207326 738026 0 2097151 EPSG:4326:21 414652 1476053 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 2 4 0 7 EPSG:900913:4 5 9 0 15 EPSG:900913:5 10 19 0 31 EPSG:900913:6 20 39 0 63 EPSG:900913:7 40 78 0 127 EPSG:900913:8 81 156 0 255 EPSG:900913:9 163 312 0 511 EPSG:900913:10 326 624 0 1023 EPSG:900913:11 653 1248 0 2047 EPSG:900913:12 1307 2497 0 4095 EPSG:900913:13 2614 4994 0 8191 EPSG:900913:14 5228 9989 0 16383 EPSG:900913:15 10457 19978 0 32767 EPSG:900913:16 20914 39957 0 65535 EPSG:900913:17 41829 79914 0 131071 EPSG:900913:18 83659 159828 0 262143 EPSG:900913:19 167318 319656 0 524287 EPSG:900913:20 334636 639312 0 1048575 EPSG:900913:21 669272 1278625 0 2097151 EPSG:900913:22 1338544 2557251 0 4194303 EPSG:900913:23 2677088 5114503 0 8388607 EPSG:900913:24 5354177 10229007 0 16777215 EPSG:900913:25 10708355 20458015 0 33554431 EPSG:900913:26 21416711 40916030 0 67108863 EPSG:900913:27 42833423 81832061 0 134217727 EPSG:900913:28 85666847 163664123 0 268435455 EPSG:900913:29 171333695 327328246 0 536870911 EPSG:900913:30 342667390 654656492 0 1073741823 VUT_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 165.999861111111 -21.000138888888827 171.00013888888876 -12.999861111111064 vut:VUT_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 30 31 EPSG:4326:5 18 19 61 62 EPSG:4326:6 36 39 123 124 EPSG:4326:7 73 78 246 249 EPSG:4326:8 146 157 492 499 EPSG:4326:9 292 315 984 998 EPSG:4326:10 585 631 1968 1996 EPSG:4326:11 1171 1262 3936 3993 EPSG:4326:12 2343 2525 7873 7987 EPSG:4326:13 4687 5051 15746 15974 EPSG:4326:14 9375 10103 31493 31948 EPSG:4326:15 18750 20206 62987 63897 EPSG:4326:16 37501 40413 125974 127795 EPSG:4326:17 75002 80827 251949 255590 EPSG:4326:18 150004 161655 503898 511181 EPSG:4326:19 300008 323311 1007797 1022362 EPSG:4326:20 600017 646622 2015595 2044724 EPSG:4326:21 1200035 1293245 4031190 4089448 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 31 EPSG:900913:6 34 35 61 62 EPSG:900913:7 68 71 123 124 EPSG:900913:8 137 143 246 249 EPSG:900913:9 274 286 492 499 EPSG:900913:10 549 573 984 998 EPSG:900913:11 1098 1146 1968 1996 EPSG:900913:12 2197 2292 3936 3993 EPSG:900913:13 4394 4584 7873 7987 EPSG:900913:14 8788 9169 15746 15974 EPSG:900913:15 17577 18339 31493 31948 EPSG:900913:16 35155 36679 62987 63897 EPSG:900913:17 70310 73359 125974 127795 EPSG:900913:18 140620 146718 251949 255590 EPSG:900913:19 281240 293436 503898 511181 EPSG:900913:20 562481 586872 1007797 1022362 EPSG:900913:21 1124963 1173745 2015595 2044724 EPSG:900913:22 2249927 2347490 4031190 4089448 EPSG:900913:23 4499855 4694981 8062381 8178896 EPSG:900913:24 8999711 9389963 16124762 16357792 EPSG:900913:25 17999422 18779927 32249524 32715584 EPSG:900913:26 35998845 37559854 64499048 65431168 EPSG:900913:27 71997690 75119708 128998097 130862336 EPSG:900913:28 143995381 150239417 257996195 261724673 EPSG:900913:29 287990763 300478834 515992391 523449346 EPSG:900913:30 575981527 600957669 1031984783 1046898692 VUT_2019-2020_ImageryTafea_Sentinel2 This resource contains satellite imagery for the Tafae Province in Vanuatu. The imagery was collected on August 20, 2019, March 26, 2020, August 9, 2020, and September 23, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20190819T230029_N0213_R058_T59KKV_20190820T004843 S2B_MSIL2A_20190819T230029_N0213_R058_T59KLV_20190820T004843 S2B_MSIL2A_20200525T230019_N0214_R058_T59KLU_20200526T004857 S2A_MSIL2A_20200808T230031_N0214_R058_T59KLT_20200809T004621 S2B_MSIL2A_20200922T230019_N0214_R058_T59KMU_20200923T002739 168.84374099699508 -20.403001199186118 170.37161840905247 -18.42210237945864 vut:VUT_2019-2020_ImageryTafea_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 31 31 EPSG:4326:5 19 19 62 62 EPSG:4326:6 38 39 124 124 EPSG:4326:7 77 78 248 249 EPSG:4326:8 154 157 496 498 EPSG:4326:9 308 314 992 996 EPSG:4326:10 616 628 1984 1993 EPSG:4326:11 1233 1256 3969 3986 EPSG:4326:12 2467 2512 7938 7972 EPSG:4326:13 4934 5024 15876 15945 EPSG:4326:14 9868 10049 31752 31891 EPSG:4326:15 19737 20098 63505 63783 EPSG:4326:16 39475 40196 127010 127566 EPSG:4326:17 78950 80393 254020 255132 EPSG:4326:18 157901 160786 508040 510265 EPSG:4326:19 315802 321572 1016081 1020531 EPSG:4326:20 631604 643144 2032162 2041062 EPSG:4326:21 1263209 1286288 4064324 4082125 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 31 31 EPSG:900913:6 35 35 62 62 EPSG:900913:7 70 71 124 124 EPSG:900913:8 141 142 248 249 EPSG:900913:9 282 285 496 498 EPSG:900913:10 565 571 992 996 EPSG:900913:11 1130 1142 1984 1993 EPSG:900913:12 2261 2285 3969 3986 EPSG:900913:13 4522 4570 7938 7972 EPSG:900913:14 9045 9140 15876 15945 EPSG:900913:15 18090 18281 31752 31891 EPSG:900913:16 36180 36563 63505 63783 EPSG:900913:17 72361 73126 127010 127566 EPSG:900913:18 144723 146253 254020 255132 EPSG:900913:19 289447 292506 508040 510265 EPSG:900913:20 578895 585013 1016081 1020531 EPSG:900913:21 1157790 1170026 2032162 2041062 EPSG:900913:22 2315581 2340053 4064324 4082125 EPSG:900913:23 4631163 4680106 8128648 8164250 EPSG:900913:24 9262326 9360213 16257296 16328500 EPSG:900913:25 18524653 18720427 32514593 32657001 EPSG:900913:26 37049307 37440855 65029186 65314003 EPSG:900913:27 74098614 74881711 130058373 130628007 EPSG:900913:28 148197228 149763423 260116746 261256014 EPSG:900913:29 296394456 299526847 520233492 522512028 EPSG:900913:30 592788912 599053694 1040466985 1045024057 Global_2013_Rises_BlueHabitats Global distribution of rise seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -76.42115940356985 180.0 84.53746405524777 global:Global_2013_Rises_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 59 0 127 EPSG:4326:7 3 118 0 255 EPSG:4326:8 7 236 0 511 EPSG:4326:9 15 473 0 1023 EPSG:4326:10 31 946 0 2047 EPSG:4326:11 62 1893 0 4095 EPSG:4326:12 124 3787 0 8191 EPSG:4326:13 248 7574 0 16383 EPSG:4326:14 497 15148 0 32767 EPSG:4326:15 994 30296 0 65535 EPSG:4326:16 1988 60592 0 131071 EPSG:4326:17 3977 121184 0 262143 EPSG:4326:18 7955 242368 0 524287 EPSG:4326:19 15910 484736 0 1048575 EPSG:4326:20 31821 969473 0 2097151 EPSG:4326:21 63643 1938947 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 1 53 0 63 EPSG:900913:7 2 107 0 127 EPSG:900913:8 4 214 0 255 EPSG:900913:9 8 429 0 511 EPSG:900913:10 16 858 0 1023 EPSG:900913:11 32 1717 0 2047 EPSG:900913:12 64 3435 0 4095 EPSG:900913:13 128 6870 0 8191 EPSG:900913:14 257 13741 0 16383 EPSG:900913:15 515 27482 0 32767 EPSG:900913:16 1031 54965 0 65535 EPSG:900913:17 2062 109931 0 131071 EPSG:900913:18 4125 219862 0 262143 EPSG:900913:19 8251 439724 0 524287 EPSG:900913:20 16503 879449 0 1048575 EPSG:900913:21 33006 1758898 0 2097151 EPSG:900913:22 66013 3517796 0 4194303 EPSG:900913:23 132026 7035593 0 8388607 EPSG:900913:24 264052 14071186 0 16777215 EPSG:900913:25 528104 28142372 0 33554431 EPSG:900913:26 1056209 56284744 0 67108863 EPSG:900913:27 2112419 112569488 0 134217727 EPSG:900913:28 4224839 225138977 0 268435455 EPSG:900913:29 8449679 450277955 0 536870911 EPSG:900913:30 16899359 900555910 0 1073741823 FSM_2005_DEM10mPohnpei_USGS A 10-meter resolution land surface digital elevation model (DEM) for the island of Pohnpei in the Federated States of Micronesia (FSM) from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. 158.0849037217906 6.7587945795512 158.37610939552889 7.036574236535259 fsm:FSM_2005_DEM10mPohnpei_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 60 60 EPSG:4326:6 29 29 120 120 EPSG:4326:7 58 59 240 240 EPSG:4326:8 117 118 480 481 EPSG:4326:9 235 236 961 962 EPSG:4326:10 471 473 1923 1924 EPSG:4326:11 943 947 3846 3849 EPSG:4326:12 1887 1894 7693 7699 EPSG:4326:13 3775 3788 15386 15399 EPSG:4326:14 7551 7576 30773 30799 EPSG:4326:15 15103 15153 61546 61599 EPSG:4326:16 30206 30307 123092 123198 EPSG:4326:17 60412 60614 246185 246397 EPSG:4326:18 120824 121228 492371 492795 EPSG:4326:19 241648 242457 984743 985591 EPSG:4326:20 483296 484915 1969487 1971183 EPSG:4326:21 966593 969830 3938974 3942367 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 60 60 EPSG:900913:7 61 61 120 120 EPSG:900913:8 122 123 240 240 EPSG:900913:9 245 246 480 481 EPSG:900913:10 491 492 961 962 EPSG:900913:11 983 985 1923 1924 EPSG:900913:12 1967 1970 3846 3849 EPSG:900913:13 3935 3941 7693 7699 EPSG:900913:14 7870 7883 15386 15399 EPSG:900913:15 15741 15767 30773 30799 EPSG:900913:16 31483 31534 61546 61599 EPSG:900913:17 62967 63069 123092 123198 EPSG:900913:18 125935 126138 246185 246397 EPSG:900913:19 251870 252277 492371 492795 EPSG:900913:20 503740 504555 984743 985591 EPSG:900913:21 1007481 1009111 1969487 1971183 EPSG:900913:22 2014963 2018223 3938974 3942367 EPSG:900913:23 4029926 4036446 7877949 7884734 EPSG:900913:24 8059852 8072892 15755898 15769469 EPSG:900913:25 16119704 16145784 31511796 31538939 EPSG:900913:26 32239409 32291569 63023593 63077878 EPSG:900913:27 64478819 64583138 126047187 126155757 EPSG:900913:28 128957638 129166276 252094375 252311514 EPSG:900913:29 257915277 258332552 504188751 504623029 EPSG:900913:30 515830554 516665105 1008377503 1009246058 SLB_2019-2020_ImagerySantaCruzIslands_Sentinel2 This resource contains satellite imagery for the Santa Cruz Islands in the Solomon Islands. The imagery was collected on November 8, 2019, December 3, 2019, February 26, 2020, March 14, 2020, and May 31, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20191108T231901_N0208_R001_T58LGN_20191109T003702 S2A_MSIL2A_20191108T231901_N0213_R001_T58LFN_20191109T010716 S2B_MSIL2A_20191203T231849_N0213_R001_T58LEP_20191204T010501 S2B_MSIL1C_20191203T231849_N0208_R001_T58LFP_20191204T003119 S2A_MSIL2A_20200226T231851_N0214_R001_T58LFP_20200227T012632 S2A_MSIL2A_20200314T230901_N0214_R101_T59LKG_20200315T010207 S2B_MSIL2A_20200531T231859_N0214_R001_T58LGQ_20200601T011048 165.1689203698276 -12.578773985323114 168.9863408024967 -9.61611668984721 slb:SLB_2019-2020_ImagerySantaCruzIslands_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 9 30 31 EPSG:4326:5 17 18 61 62 EPSG:4326:6 35 36 122 124 EPSG:4326:7 70 72 245 248 EPSG:4326:8 141 145 490 496 EPSG:4326:9 283 291 981 992 EPSG:4326:10 566 583 1963 1985 EPSG:4326:11 1133 1167 3927 3970 EPSG:4326:12 2266 2334 7854 7941 EPSG:4326:13 4533 4668 15709 15882 EPSG:4326:14 9067 9336 31418 31765 EPSG:4326:15 18134 18673 62836 63531 EPSG:4326:16 36269 37347 125672 127062 EPSG:4326:17 72538 74695 251344 254124 EPSG:4326:18 145076 149391 502688 508248 EPSG:4326:19 290152 298782 1005377 1016496 EPSG:4326:20 580305 597564 2010754 2032992 EPSG:4326:21 1160611 1195129 4021509 4065985 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 17 30 31 EPSG:900913:6 33 34 61 62 EPSG:900913:7 67 68 122 124 EPSG:900913:8 134 137 245 248 EPSG:900913:9 269 274 490 496 EPSG:900913:10 539 548 981 992 EPSG:900913:11 1078 1096 1963 1985 EPSG:900913:12 2157 2192 3927 3970 EPSG:900913:13 4315 4384 7854 7941 EPSG:900913:14 8631 8769 15709 15882 EPSG:900913:15 17263 17538 31418 31765 EPSG:900913:16 34526 35076 62836 63531 EPSG:900913:17 69053 70153 125672 127062 EPSG:900913:18 138107 140306 251344 254124 EPSG:900913:19 276214 280612 502688 508248 EPSG:900913:20 552429 561224 1005377 1016496 EPSG:900913:21 1104858 1122448 2010754 2032992 EPSG:900913:22 2209717 2244896 4021509 4065985 EPSG:900913:23 4419435 4489793 8043018 8131971 EPSG:900913:24 8838870 8979587 16086037 16263942 EPSG:900913:25 17677740 17959175 32172075 32527884 EPSG:900913:26 35355481 35918351 64344150 65055769 EPSG:900913:27 70710962 71836703 128688300 130111538 EPSG:900913:28 141421925 143673407 257376601 260223076 EPSG:900913:29 282843850 287346815 514753203 520446152 EPSG:900913:30 565687701 574693630 1029506406 1040892305 Global_2013_GlacialTroughs_BlueHabitats Global distribution of glacial trough seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -180.0 -78.60166015337177 180.0 83.79608868525094 global:Global_2013_GlacialTroughs_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 1 29 0 63 EPSG:4326:6 2 59 0 127 EPSG:4326:7 4 119 0 255 EPSG:4326:8 8 239 0 511 EPSG:4326:9 17 479 0 1023 EPSG:4326:10 35 959 0 2047 EPSG:4326:11 70 1918 0 4095 EPSG:4326:12 141 3836 0 8191 EPSG:4326:13 282 7673 0 16383 EPSG:4326:14 564 15346 0 32767 EPSG:4326:15 1129 30692 0 65535 EPSG:4326:16 2258 61385 0 131071 EPSG:4326:17 4517 122771 0 262143 EPSG:4326:18 9035 245543 0 524287 EPSG:4326:19 18070 491087 0 1048575 EPSG:4326:20 36140 982175 0 2097151 EPSG:4326:21 72280 1964351 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 1 27 0 31 EPSG:900913:6 2 55 0 63 EPSG:900913:7 4 110 0 127 EPSG:900913:8 9 221 0 255 EPSG:900913:9 18 443 0 511 EPSG:900913:10 36 887 0 1023 EPSG:900913:11 73 1775 0 2047 EPSG:900913:12 147 3550 0 4095 EPSG:900913:13 295 7100 0 8191 EPSG:900913:14 590 14201 0 16383 EPSG:900913:15 1180 28402 0 32767 EPSG:900913:16 2361 56805 0 65535 EPSG:900913:17 4722 113611 0 131071 EPSG:900913:18 9444 227223 0 262143 EPSG:900913:19 18889 454446 0 524287 EPSG:900913:20 37779 908893 0 1048575 EPSG:900913:21 75558 1817787 0 2097151 EPSG:900913:22 151116 3635574 0 4194303 EPSG:900913:23 302232 7271149 0 8388607 EPSG:900913:24 604464 14542299 0 16777215 EPSG:900913:25 1208928 29084599 0 33554431 EPSG:900913:26 2417857 58169198 0 67108863 EPSG:900913:27 4835714 116338396 0 134217727 EPSG:900913:28 9671429 232676793 0 268435455 EPSG:900913:29 19342859 465353586 0 536870911 EPSG:900913:30 38685718 930707173 0 1073741823 Global_2000-2014_SurfaceIronMean_BioOracle2 Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceIronMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 WSM_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -173.000138888889 -15.00013888888887 -170.99986111111124 -12.9998611111111 wsm:WSM_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 18 18 1 1 EPSG:4326:6 36 37 2 3 EPSG:4326:7 73 74 4 6 EPSG:4326:8 146 149 9 12 EPSG:4326:9 292 298 19 25 EPSG:4326:10 585 597 39 51 EPSG:4326:11 1171 1194 79 102 EPSG:4326:12 2343 2389 159 204 EPSG:4326:13 4687 4778 318 409 EPSG:4326:14 9375 9557 637 819 EPSG:4326:15 18750 19114 1274 1638 EPSG:4326:16 37501 38229 2548 3276 EPSG:4326:17 75002 76458 5097 6553 EPSG:4326:18 150004 152917 10194 13107 EPSG:4326:19 300008 305835 20388 26214 EPSG:4326:20 600017 611670 40777 52429 EPSG:4326:21 1200035 1223340 81554 104859 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 34 34 1 1 EPSG:900913:7 68 69 2 3 EPSG:900913:8 137 138 4 6 EPSG:900913:9 274 277 9 12 EPSG:900913:10 549 555 19 25 EPSG:900913:11 1098 1110 39 51 EPSG:900913:12 2197 2220 79 102 EPSG:900913:13 4394 4441 159 204 EPSG:900913:14 8788 8882 318 409 EPSG:900913:15 17577 17765 637 819 EPSG:900913:16 35155 35530 1274 1638 EPSG:900913:17 70310 71060 2548 3276 EPSG:900913:18 140620 142121 5097 6553 EPSG:900913:19 281240 284243 10194 13107 EPSG:900913:20 562481 568486 20388 26214 EPSG:900913:21 1124963 1136973 40777 52429 EPSG:900913:22 2249927 2273947 81554 104859 EPSG:900913:23 4499855 4547895 163108 209718 EPSG:900913:24 8999711 9095790 326217 419436 EPSG:900913:25 17999422 18191580 652434 838873 EPSG:900913:26 35998845 36383161 1304868 1677747 EPSG:900913:27 71997690 72766322 2609737 3355494 EPSG:900913:28 143995381 145532645 5219474 6710989 EPSG:900913:29 287990763 291065290 10438949 13421979 EPSG:900913:30 575981527 582130581 20877898 26843959 MHL_2019_ImageryErikubWatje_Sentinel2 This resource contains satellite imagery for Erikub Atoll and Wotje Atoll in the Marshall Islands. The imagery was collected on December 3, 2019. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20191203T231229_N0208_R001_T59PLL_20191204T003038 S2B_MSIL1C_20191203T231229_N0208_R001_T59PML_20191204T003038 169.17569760978222 8.953811758453359 171.08904151036387 9.951396178341643 mhl:MHL_2019_ImageryErikubWatje_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 31 31 EPSG:4326:5 14 14 62 62 EPSG:4326:6 28 28 124 124 EPSG:4326:7 56 57 248 249 EPSG:4326:8 113 115 496 499 EPSG:4326:9 227 230 993 998 EPSG:4326:10 455 461 1986 1997 EPSG:4326:11 910 922 3972 3994 EPSG:4326:12 1821 1844 7945 7989 EPSG:4326:13 3643 3688 15891 15978 EPSG:4326:14 7286 7377 31782 31956 EPSG:4326:15 14572 14754 63565 63913 EPSG:4326:16 29144 29508 127130 127827 EPSG:4326:17 58289 59016 254261 255655 EPSG:4326:18 116579 118032 508523 511310 EPSG:4326:19 233158 236064 1017047 1022620 EPSG:4326:20 466316 472128 2034095 2045241 EPSG:4326:21 932633 944256 4068191 4090483 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 31 31 EPSG:900913:6 30 30 62 62 EPSG:900913:7 60 60 124 124 EPSG:900913:8 120 121 248 249 EPSG:900913:9 241 243 496 499 EPSG:900913:10 483 486 993 998 EPSG:900913:11 967 972 1986 1997 EPSG:900913:12 1934 1945 3972 3994 EPSG:900913:13 3868 3891 7945 7989 EPSG:900913:14 7736 7782 15891 15978 EPSG:900913:15 15473 15565 31782 31956 EPSG:900913:16 30947 31131 63565 63913 EPSG:900913:17 61894 62262 127130 127827 EPSG:900913:18 123788 124525 254261 255655 EPSG:900913:19 247577 249050 508523 511310 EPSG:900913:20 495155 498101 1017047 1022620 EPSG:900913:21 990311 996202 2034095 2045241 EPSG:900913:22 1980622 1992405 4068191 4090483 EPSG:900913:23 3961244 3984810 8136383 8180967 EPSG:900913:24 7922489 7969621 16272766 16361935 EPSG:900913:25 15844979 15939242 32545533 32723870 EPSG:900913:26 31689959 31878485 65091067 65447740 EPSG:900913:27 63379919 63756970 130182135 130895481 EPSG:900913:28 126759838 127513940 260364271 261790963 EPSG:900913:29 253519676 255027880 520728542 523581927 EPSG:900913:30 507039352 510055761 1041457084 1047163855 KIR_2020_ImageryGilbertIslandsSouth_Sentinel2 This resource contains satellite imagery for Nonouti, Beru, Nikunau, Tabiteuea, Onotoa, Tamana, and Arorae islands in the Gilbert Island chain in Kiribati. The imagery was collected on June 1, June 3, June 6, and August 15, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20200601T224609_N0214_R015_T60MTD_20200602T002531 S2A_MSIL2A_20200603T223641_N0214_R115_T60MVC_20200604T023722 S2A_MSIL2A_20200606T224621_N0214_R015_T60MUD_20200607T001506 S2B_MSIL2A_20200813T225459_N0214_R058_T59MRV_20200814T003201 S2A_MSIL2A_20200815T224621_N0214_R015_T60MVC_20200816T001830 S2A_MSIL2A_20200815T224621_N0214_R015_T60MUC_20200816T001830 S2A_MSIL2A_20200815T224621_N0214_R015_T60MVD_20200816T001830 173.91318821008792 -2.76517875210534 177.12712622299082 -0.4053392434501375 kir:KIR_2020_ImageryGilbertIslandsSouth_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 31 31 EPSG:4326:5 16 16 62 63 EPSG:4326:6 32 32 125 126 EPSG:4326:7 64 65 251 253 EPSG:4326:8 128 131 503 507 EPSG:4326:9 257 263 1006 1015 EPSG:4326:10 514 527 2013 2031 EPSG:4326:11 1028 1055 4026 4063 EPSG:4326:12 2057 2110 8053 8126 EPSG:4326:13 4114 4221 16106 16253 EPSG:4326:14 8228 8443 32213 32506 EPSG:4326:15 16457 16887 64427 65013 EPSG:4326:16 32915 33774 128855 130026 EPSG:4326:17 65831 67549 257711 260052 EPSG:4326:18 131662 135099 515423 520104 EPSG:4326:19 263324 270198 1030846 1040208 EPSG:4326:20 526649 540396 2061693 2080416 EPSG:4326:21 1053298 1080792 4123387 4160832 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 31 31 EPSG:900913:6 32 32 62 63 EPSG:900913:7 64 64 125 126 EPSG:900913:8 128 129 251 253 EPSG:900913:9 256 259 503 507 EPSG:900913:10 513 519 1006 1015 EPSG:900913:11 1026 1039 2013 2031 EPSG:900913:12 2052 2079 4026 4063 EPSG:900913:13 4105 4158 8053 8126 EPSG:900913:14 8210 8317 16106 16253 EPSG:900913:15 16420 16635 32213 32506 EPSG:900913:16 32841 33271 64427 65013 EPSG:900913:17 65683 66543 128855 130026 EPSG:900913:18 131367 133086 257711 260052 EPSG:900913:19 262734 266172 515423 520104 EPSG:900913:20 525468 532345 1030846 1040208 EPSG:900913:21 1050937 1064690 2061693 2080416 EPSG:900913:22 2101874 2129381 4123387 4160832 EPSG:900913:23 4203749 4258762 8246775 8321665 EPSG:900913:24 8407498 8517524 16493550 16643330 EPSG:900913:25 16814996 17035049 32987100 33286660 EPSG:900913:26 33629993 34070098 65974200 66573321 EPSG:900913:27 67259986 68140197 131948400 133146643 EPSG:900913:28 134519973 136280395 263896800 266293286 EPSG:900913:29 269039946 272560791 527793600 532586572 EPSG:900913:30 538079893 545121582 1055587200 1065173144 NRU_2020_ImageryNauru_Sentinel2 This resource contains satellite imagery for Nauru. The imagery was collected on May 9, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200509T232631_N0214_R044_T58MGE_20200510T011147 166.78409470389983 -0.6577668636064642 167.08884050771644 -0.41181614015345386 nru:NRU_2020_ImageryNauru_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 16 16 61 61 EPSG:4326:6 32 32 123 123 EPSG:4326:7 64 64 246 246 EPSG:4326:8 128 128 493 493 EPSG:4326:9 257 257 986 987 EPSG:4326:10 514 515 1972 1974 EPSG:4326:11 1028 1031 3945 3949 EPSG:4326:12 2057 2062 7891 7898 EPSG:4326:13 4114 4125 15782 15796 EPSG:4326:14 8229 8251 31565 31592 EPSG:4326:15 16458 16503 63130 63185 EPSG:4326:16 32917 33007 126260 126371 EPSG:4326:17 65835 66014 252520 252742 EPSG:4326:18 131671 132029 505040 505484 EPSG:4326:19 263343 264059 1010081 1010969 EPSG:4326:20 526687 528119 2020163 2021939 EPSG:4326:21 1053374 1056239 4040327 4043878 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 32 32 61 61 EPSG:900913:7 64 64 123 123 EPSG:900913:8 128 128 246 246 EPSG:900913:9 256 256 493 493 EPSG:900913:10 513 513 986 987 EPSG:900913:11 1026 1027 1972 1974 EPSG:900913:12 2052 2055 3945 3949 EPSG:900913:13 4105 4110 7891 7898 EPSG:900913:14 8210 8221 15782 15796 EPSG:900913:15 16421 16443 31565 31592 EPSG:900913:16 32842 32887 63130 63185 EPSG:900913:17 65685 65775 126260 126371 EPSG:900913:18 131371 131550 252520 252742 EPSG:900913:19 262743 263101 505040 505484 EPSG:900913:20 525487 526203 1010081 1010969 EPSG:900913:21 1050975 1052407 2020163 2021939 EPSG:900913:22 2101950 2104815 4040327 4043878 EPSG:900913:23 4203900 4209631 8080655 8087756 EPSG:900913:24 8407800 8419262 16161310 16175512 EPSG:900913:25 16815600 16838525 32322620 32351024 EPSG:900913:26 33631200 33677051 64645240 64702049 EPSG:900913:27 67262401 67354102 129290481 129404098 EPSG:900913:28 134524803 134708205 258580962 258808197 EPSG:900913:29 269049606 269416410 517161925 517616395 EPSG:900913:30 538099212 538832821 1034323851 1035232790 FSM_2005_Hillshade10mPohnpei_USGS A 10-meter resolution land surface hillshade for the island of Pohnpei in the Federated States of Micronesia (FSM) from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. 158.0849037217906 6.7587945795512 158.37610939552889 7.03657423653526 fsm:FSM_2005_Hillshade10mPohnpei_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 60 60 EPSG:4326:6 29 29 120 120 EPSG:4326:7 58 59 240 240 EPSG:4326:8 117 118 480 481 EPSG:4326:9 235 236 961 962 EPSG:4326:10 471 473 1923 1924 EPSG:4326:11 943 947 3846 3849 EPSG:4326:12 1887 1894 7693 7699 EPSG:4326:13 3775 3788 15386 15399 EPSG:4326:14 7551 7576 30773 30799 EPSG:4326:15 15103 15153 61546 61599 EPSG:4326:16 30206 30307 123092 123198 EPSG:4326:17 60412 60614 246185 246397 EPSG:4326:18 120824 121228 492371 492795 EPSG:4326:19 241648 242457 984743 985591 EPSG:4326:20 483296 484915 1969487 1971183 EPSG:4326:21 966593 969830 3938974 3942367 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 60 60 EPSG:900913:7 61 61 120 120 EPSG:900913:8 122 123 240 240 EPSG:900913:9 245 246 480 481 EPSG:900913:10 491 492 961 962 EPSG:900913:11 983 985 1923 1924 EPSG:900913:12 1967 1970 3846 3849 EPSG:900913:13 3935 3941 7693 7699 EPSG:900913:14 7870 7883 15386 15399 EPSG:900913:15 15741 15767 30773 30799 EPSG:900913:16 31483 31534 61546 61599 EPSG:900913:17 62967 63069 123092 123198 EPSG:900913:18 125935 126138 246185 246397 EPSG:900913:19 251870 252277 492371 492795 EPSG:900913:20 503740 504555 984743 985591 EPSG:900913:21 1007481 1009111 1969487 1971183 EPSG:900913:22 2014963 2018223 3938974 3942367 EPSG:900913:23 4029926 4036446 7877949 7884734 EPSG:900913:24 8059852 8072892 15755898 15769469 EPSG:900913:25 16119704 16145784 31511796 31538939 EPSG:900913:26 32239409 32291569 63023593 63077878 EPSG:900913:27 64478819 64583138 126047187 126155757 EPSG:900913:28 128957638 129166276 252094375 252311514 EPSG:900913:29 257915277 258332552 504188751 504623029 EPSG:900913:30 515830554 516665105 1008377503 1009246058 VUT_2019-2020_ImageryShefaMalampa_Sentinel2 This resource contains satellite imagery for the Shefa and Malampa Provinces in Vanuatu. The imagery was collected on November 11, 2019, February 12, 2020, August 8, 2020, August 11, 2020, and September 10, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20191120T230909_N0208_R101_T58LHH_20191121T002614 S2A_MSIL1C_20200213T230901_N0209_R101_T58LGH_20200214T002904 S2A_MSIL2A_20200808T230031_N0214_R058_T58KHF_20200809T004621 S2A_MSIL2A_20200811T230911_N0214_R101_T58KHG_20200812T004745 S2A_MSIL2A_20200811T230911_N0214_R101_T58LGH_20200812T004745 S2A_MSIL2A_20200910T230911_N0214_R101_T58KGG_20200911T010839 S2A_MSIL2A_20200910T230911_N0214_R101_T58LHH_20200911T010839 167.02453285169008 -18.00027192023139 168.81868611452447 -15.659352902628198 vut:VUT_2019-2020_ImageryShefaMalampa_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 30 31 EPSG:4326:5 18 19 61 62 EPSG:4326:6 37 38 123 124 EPSG:4326:7 75 76 246 248 EPSG:4326:8 150 153 493 496 EPSG:4326:9 300 307 987 992 EPSG:4326:10 601 614 1974 1984 EPSG:4326:11 1202 1228 3948 3968 EPSG:4326:12 2404 2457 7896 7937 EPSG:4326:13 4808 4915 15793 15875 EPSG:4326:14 9617 9830 31586 31750 EPSG:4326:15 19234 19660 63173 63500 EPSG:4326:16 38469 39321 126347 127001 EPSG:4326:17 76938 78643 252695 254002 EPSG:4326:18 153877 157286 505391 508004 EPSG:4326:19 307755 314573 1010782 1016008 EPSG:4326:20 615510 629147 2021564 2032016 EPSG:4326:21 1231020 1258294 4043128 4064032 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 31 EPSG:900913:6 34 35 61 62 EPSG:900913:7 69 70 123 124 EPSG:900913:8 139 141 246 248 EPSG:900913:9 278 282 493 496 EPSG:900913:10 557 564 987 992 EPSG:900913:11 1114 1128 1974 1984 EPSG:900913:12 2228 2256 3948 3968 EPSG:900913:13 4456 4512 7896 7937 EPSG:900913:14 8913 9025 15793 15875 EPSG:900913:15 17827 18050 31586 31750 EPSG:900913:16 35654 36100 63173 63500 EPSG:900913:17 71309 72200 126347 127001 EPSG:900913:18 142619 144400 252695 254002 EPSG:900913:19 285238 288800 505391 508004 EPSG:900913:20 570477 577601 1010782 1016008 EPSG:900913:21 1140955 1155203 2021564 2032016 EPSG:900913:22 2281911 2310407 4043128 4064032 EPSG:900913:23 4563822 4620815 8086257 8128064 EPSG:900913:24 9127645 9241631 16172515 16256129 EPSG:900913:25 18255291 18483262 32345030 32512258 EPSG:900913:26 36510582 36966525 64690061 65024516 EPSG:900913:27 73021164 73933051 129380123 130049032 EPSG:900913:28 146042328 147866102 258760246 260098064 EPSG:900913:29 292084657 295732204 517520492 520196128 EPSG:900913:30 584169314 591464408 1035040985 1040392256 TUV_2020_ImageryNukulaelaeNiulakita_Sentinel2 This resource contains satellite imagery for Tuvalu. The imagery was collected on July 20, 2020, September 21, 2020, and October 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200921T223641_N0214_R115_T60MVU_20200922T002114 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAK_20200721T002156 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAJ_20200721T002156 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWU_20201012T002111 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWT_20201012T002111 S2A_MSIL2A_20200921T223641_N0214_R115_T60MUU_20200922T002114 -180.0 -10.960860491677549 180.0 -9.227853910899663 tuv:TUV_2020_ImageryNukulaelaeNiulakita_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 1 1 0 3 EPSG:4326:2 2 2 0 7 EPSG:4326:3 4 4 0 15 EPSG:4326:4 8 8 0 31 EPSG:4326:5 17 17 0 63 EPSG:4326:6 35 35 0 127 EPSG:4326:7 70 71 0 255 EPSG:4326:8 141 143 0 511 EPSG:4326:9 282 287 0 1023 EPSG:4326:10 564 574 0 2047 EPSG:4326:11 1128 1148 0 4095 EPSG:4326:12 2257 2297 0 8191 EPSG:4326:13 4515 4594 0 16383 EPSG:4326:14 9031 9189 0 32767 EPSG:4326:15 18063 18379 0 65535 EPSG:4326:16 36127 36758 0 131071 EPSG:4326:17 72255 73517 0 262143 EPSG:4326:18 144511 147034 0 524287 EPSG:4326:19 289022 294069 0 1048575 EPSG:4326:20 578044 588139 0 2097151 EPSG:4326:21 1156088 1176279 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 1 EPSG:900913:2 2 2 0 3 EPSG:900913:3 4 4 0 7 EPSG:900913:4 8 8 0 15 EPSG:900913:5 16 16 0 31 EPSG:900913:6 33 33 0 63 EPSG:900913:7 67 67 0 127 EPSG:900913:8 134 135 0 255 EPSG:900913:9 269 271 0 511 EPSG:900913:10 538 543 0 1023 EPSG:900913:11 1076 1086 0 2047 EPSG:900913:12 2153 2173 1 4094 EPSG:900913:13 4306 4346 3 8189 EPSG:900913:14 8613 8693 7 16378 EPSG:900913:15 17227 17387 14 32756 EPSG:900913:16 34455 34775 29 65513 EPSG:900913:17 68910 69551 58 131026 EPSG:900913:18 137820 139102 116 262052 EPSG:900913:19 275641 278205 232 524104 EPSG:900913:20 551283 556410 464 1048209 EPSG:900913:21 1102566 1112820 928 2096419 EPSG:900913:22 2205132 2225641 1856 4192838 EPSG:900913:23 4410264 4451282 3713 8385677 EPSG:900913:24 8820528 8902565 7427 16771354 EPSG:900913:25 17641056 17805131 14854 33542709 EPSG:900913:26 35282113 35610262 29708 67085419 EPSG:900913:27 70564227 71220525 59416 134170839 EPSG:900913:28 141128455 142441050 118832 268341678 EPSG:900913:29 282256911 284882100 237664 536683357 EPSG:900913:30 564513823 569764200 475328 1073366715 Global_2013_Basins_BlueHabitats Global distribution of basin seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -180.0 -78.60166015337172 180.0 89.99999366924888 global:Global_2013_Basins_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 0 127 EPSG:4326:7 0 119 0 255 EPSG:4326:8 0 239 0 511 EPSG:4326:9 0 479 0 1023 EPSG:4326:10 0 959 0 2047 EPSG:4326:11 0 1918 0 4095 EPSG:4326:12 0 3836 0 8191 EPSG:4326:13 0 7673 0 16383 EPSG:4326:14 0 15346 0 32767 EPSG:4326:15 0 30692 0 65535 EPSG:4326:16 0 61385 0 131071 EPSG:4326:17 0 122771 0 262143 EPSG:4326:18 0 245543 0 524287 EPSG:4326:19 0 491087 0 1048575 EPSG:4326:20 0 982175 0 2097151 EPSG:4326:21 0 1964351 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 0 55 0 63 EPSG:900913:7 0 110 0 127 EPSG:900913:8 0 221 0 255 EPSG:900913:9 0 443 0 511 EPSG:900913:10 0 887 0 1023 EPSG:900913:11 0 1775 0 2047 EPSG:900913:12 0 3550 0 4095 EPSG:900913:13 0 7100 0 8191 EPSG:900913:14 0 14201 0 16383 EPSG:900913:15 0 28402 0 32767 EPSG:900913:16 0 56805 0 65535 EPSG:900913:17 0 113611 0 131071 EPSG:900913:18 0 227223 0 262143 EPSG:900913:19 0 454446 0 524287 EPSG:900913:20 0 908893 0 1048575 EPSG:900913:21 0 1817787 0 2097151 EPSG:900913:22 0 3635574 0 4194303 EPSG:900913:23 0 7271149 0 8388607 EPSG:900913:24 0 14542299 0 16777215 EPSG:900913:25 0 29084599 0 33554431 EPSG:900913:26 0 58169198 0 67108863 EPSG:900913:27 0 116338396 0 134217727 EPSG:900913:28 0 232676793 0 268435455 EPSG:900913:29 0 465353586 0 536870911 EPSG:900913:30 0 930707173 0 1073741823 MHL_2020_ImageryBokakTaongi_Sentinel2 This resource contains satellite imagery for Bokak/Taongi Atoll in the Marshall Islands. The imagery was collected on May 19, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200519T232211_N0209_R044_T59PKS_20200520T005619 168.20554290876075 14.368052294336673 169.23587862690198 15.370088377261439 mhl:MHL_2020_ImageryBokakTaongi_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 6 30 31 EPSG:4326:5 13 13 61 62 EPSG:4326:6 26 26 123 124 EPSG:4326:7 53 53 247 248 EPSG:4326:8 106 107 495 496 EPSG:4326:9 212 215 990 993 EPSG:4326:10 424 430 1980 1986 EPSG:4326:11 849 860 3961 3973 EPSG:4326:12 1698 1721 7923 7947 EPSG:4326:13 3396 3442 15847 15894 EPSG:4326:14 6792 6884 31694 31788 EPSG:4326:15 13585 13768 63388 63576 EPSG:4326:16 27171 27536 126777 127152 EPSG:4326:17 54343 55073 253555 254305 EPSG:4326:18 108687 110147 507111 508611 EPSG:4326:19 217375 220294 1014222 1017223 EPSG:4326:20 434750 440588 2028444 2034446 EPSG:4326:21 869501 881176 4056888 4068892 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 14 30 31 EPSG:900913:6 29 29 61 62 EPSG:900913:7 58 58 123 124 EPSG:900913:8 116 117 247 248 EPSG:900913:9 233 235 495 496 EPSG:900913:10 467 470 990 993 EPSG:900913:11 935 941 1980 1986 EPSG:900913:12 1870 1882 3961 3973 EPSG:900913:13 3741 3765 7923 7947 EPSG:900913:14 7483 7531 15847 15894 EPSG:900913:15 14967 15062 31694 31788 EPSG:900913:16 29935 30124 63388 63576 EPSG:900913:17 59871 60249 126777 127152 EPSG:900913:18 119743 120498 253555 254305 EPSG:900913:19 239486 240996 507111 508611 EPSG:900913:20 478972 481992 1014222 1017223 EPSG:900913:21 957945 963984 2028444 2034446 EPSG:900913:22 1915890 1927969 4056888 4068892 EPSG:900913:23 3831780 3855938 8113777 8137785 EPSG:900913:24 7663560 7711877 16227554 16275571 EPSG:900913:25 15327121 15423755 32455108 32551143 EPSG:900913:26 30654243 30847511 64910217 65102286 EPSG:900913:27 61308487 61695022 129820435 130204572 EPSG:900913:28 122616975 123390045 259640871 260409145 EPSG:900913:29 245233951 246780090 519281742 520818290 EPSG:900913:30 490467902 493560180 1038563485 1041636581 MHL_2019_ImageryMiliKnox_Sentinel2 This resource contains satellite imagery for Mili Atoll and Knox Atoll in the Marshall Islands. The imagery was collected on August 12, 2019. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20190812T230339_N0208_R101_T59NNG_20190813T001838 S2B_MSIL1C_20190812T230339_N0208_R101_T59NPG_20190813T001838 170.9998191688487 5.336833146032486 172.89656584424424 6.33304216613588 mhl:MHL_2019_ImageryMiliKnox_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 31 31 EPSG:4326:5 14 15 62 62 EPSG:4326:6 29 30 124 125 EPSG:4326:7 59 60 249 250 EPSG:4326:8 118 120 499 501 EPSG:4326:9 237 240 998 1003 EPSG:4326:10 475 481 1996 2007 EPSG:4326:11 951 963 3993 4015 EPSG:4326:12 1903 1926 7987 8030 EPSG:4326:13 3807 3853 15974 16060 EPSG:4326:14 7615 7706 31948 32121 EPSG:4326:15 15231 15412 63897 64242 EPSG:4326:16 30462 30824 127795 128485 EPSG:4326:17 60924 61649 255590 256971 EPSG:4326:18 121848 123299 511180 513942 EPSG:4326:19 243697 246599 1022361 1027885 EPSG:4326:20 487395 493198 2044722 2055771 EPSG:4326:21 974790 986397 4089444 4111542 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 31 31 EPSG:900913:6 30 31 62 62 EPSG:900913:7 61 62 124 125 EPSG:900913:8 123 124 249 250 EPSG:900913:9 246 248 499 501 EPSG:900913:10 493 496 998 1003 EPSG:900913:11 987 993 1996 2007 EPSG:900913:12 1975 1987 3993 4015 EPSG:900913:13 3951 3974 7987 8030 EPSG:900913:14 7903 7948 15974 16060 EPSG:900913:15 15806 15897 31948 32121 EPSG:900913:16 31612 31795 63897 64242 EPSG:900913:17 63225 63590 127795 128485 EPSG:900913:18 126451 127180 255590 256971 EPSG:900913:19 252902 254360 511180 513942 EPSG:900913:20 505804 508720 1022361 1027885 EPSG:900913:21 1011608 1017441 2044722 2055771 EPSG:900913:22 2023216 2034883 4089444 4111542 EPSG:900913:23 4046432 4069766 8178888 8223085 EPSG:900913:24 8092864 8139533 16357777 16446171 EPSG:900913:25 16185728 16279066 32715554 32892343 EPSG:900913:26 32371456 32558132 65431108 65784687 EPSG:900913:27 64742912 65116264 130862217 131569375 EPSG:900913:28 129485824 130232529 261724434 263138751 EPSG:900913:29 258971648 260465059 523448869 526277503 EPSG:900913:30 517943297 520930119 1046897739 1052555006 KIR_2019_DEM30mLineIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -163.00013888888896 -11.000138888888761 -149.9998611111113 6.00013888888885 kir:KIR_2019_DEM30mLineIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 0 1 0 0 EPSG:4326:2 1 2 0 0 EPSG:4326:3 3 4 0 1 EPSG:4326:4 7 8 1 2 EPSG:4326:5 14 17 3 5 EPSG:4326:6 29 35 6 10 EPSG:4326:7 59 71 12 21 EPSG:4326:8 119 143 24 42 EPSG:4326:9 238 287 48 85 EPSG:4326:10 477 574 96 170 EPSG:4326:11 955 1149 193 341 EPSG:4326:12 1911 2298 386 682 EPSG:4326:13 3822 4596 773 1365 EPSG:4326:14 7645 9193 1547 2730 EPSG:4326:15 15291 18386 3094 5461 EPSG:4326:16 30583 36773 6189 10922 EPSG:4326:17 61166 73546 12378 21845 EPSG:4326:18 122333 147092 24757 43690 EPSG:4326:19 244667 294184 49515 87381 EPSG:4326:20 489334 588368 99031 174763 EPSG:4326:21 978669 1176736 198062 349526 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 0 EPSG:900913:2 1 2 0 0 EPSG:900913:3 3 4 0 0 EPSG:900913:4 7 8 0 1 EPSG:900913:5 15 16 1 2 EPSG:900913:6 30 33 3 5 EPSG:900913:7 61 67 6 10 EPSG:900913:8 123 135 12 21 EPSG:900913:9 247 271 24 42 EPSG:900913:10 494 543 48 85 EPSG:900913:11 989 1086 96 170 EPSG:900913:12 1979 2173 193 341 EPSG:900913:13 3959 4347 386 682 EPSG:900913:14 7918 8695 773 1365 EPSG:900913:15 15836 17391 1547 2730 EPSG:900913:16 31673 34782 3094 5461 EPSG:900913:17 63347 69565 6189 10922 EPSG:900913:18 126694 139131 12378 21845 EPSG:900913:19 253389 278263 24757 43690 EPSG:900913:20 506779 556526 49515 87381 EPSG:900913:21 1013558 1113053 99031 174763 EPSG:900913:22 2027117 2226107 198062 349526 EPSG:900913:23 4054234 4452215 396125 699053 EPSG:900913:24 8108468 8904430 792250 1398107 EPSG:900913:25 16216937 17808860 1584501 2796215 EPSG:900913:26 32433875 35617721 3169003 5592431 EPSG:900913:27 64867750 71235442 6338007 11184862 EPSG:900913:28 129735500 142470884 12676015 22369724 EPSG:900913:29 259471000 284941768 25352030 44739449 EPSG:900913:30 518942000 569883537 50704060 89478899 Global_2020_HydrothermalVents_InterRidgeVentsDatabasev3.4 The InterRidge Vents Database is a global database of submarine hydrothermal vent fields. The InterRidge Vents Database is supported by the InterRidge program for international cooperation in ridge-crest studies (www.interridge.org). Purpose of the database The purpose of the InterRidge Global Database of Active Submarine Hydrothermal Vent Fields, hereafter referred to as the “InterRidge Vents Database,” is to provide a comprehensive list of active submarine hydrothermal vent fields for use in academic research and education. As stated by the InterRidge Working Group (WG) on Global Distribution of Hydrothermal Activity (InterRidge News 9.1, April 2000): “The idea of this data-base is that it should become the international standard for all known sites of submarine hydrothermal activity which can be updated simply by submitting an electronic message to the InterRidge Office." Version 3.4 was completed on 25 March 2020 and and is published at PANGAEA® Data Publisher: Beaulieu, Stace E; Szafrański, Kamil M (2020) InterRidge Global Database of Active Submarine Hydrothermal Vent Fields Version 3.4. PANGAEA, https://doi.org/10.1594/PANGAEA.917894 (temporary link https://doi.pangaea.de/10.1594/PANGAEA.917894) -180.0 -90.0 180.0 90.0 global:Global_2020_HydrothermalVents_InterRidgeVentsDatabasev3.4 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 Global_2013_Slope_BlueHabitats Global distribution of slope seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -76.51648330682184 180.0 84.54081347288451 global:Global_2013_Slope_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 59 0 127 EPSG:4326:7 3 118 0 255 EPSG:4326:8 7 236 0 511 EPSG:4326:9 15 473 0 1023 EPSG:4326:10 31 947 0 2047 EPSG:4326:11 62 1894 0 4095 EPSG:4326:12 124 3789 0 8191 EPSG:4326:13 248 7578 0 16383 EPSG:4326:14 496 15156 0 32767 EPSG:4326:15 993 30313 0 65535 EPSG:4326:16 1987 60626 0 131071 EPSG:4326:17 3975 121253 0 262143 EPSG:4326:18 7950 242507 0 524287 EPSG:4326:19 15901 485014 0 1048575 EPSG:4326:20 31802 970028 0 2097151 EPSG:4326:21 63604 1940057 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 1 53 0 63 EPSG:900913:7 2 107 0 127 EPSG:900913:8 4 214 0 255 EPSG:900913:9 8 429 0 511 EPSG:900913:10 16 859 0 1023 EPSG:900913:11 32 1719 0 2047 EPSG:900913:12 64 3439 0 4095 EPSG:900913:13 128 6879 0 8191 EPSG:900913:14 256 13759 0 16383 EPSG:900913:15 512 27519 0 32767 EPSG:900913:16 1025 55039 0 65535 EPSG:900913:17 2050 110079 0 131071 EPSG:900913:18 4100 220158 0 262143 EPSG:900913:19 8200 440317 0 524287 EPSG:900913:20 16400 880635 0 1048575 EPSG:900913:21 32801 1761271 0 2097151 EPSG:900913:22 65603 3522543 0 4194303 EPSG:900913:23 131206 7045086 0 8388607 EPSG:900913:24 262412 14090172 0 16777215 EPSG:900913:25 524824 28180345 0 33554431 EPSG:900913:26 1049649 56360691 0 67108863 EPSG:900913:27 2099298 112721383 0 134217727 EPSG:900913:28 4198596 225442766 0 268435455 EPSG:900913:29 8397192 450885533 0 536870911 EPSG:900913:30 16794384 901771067 0 1073741823 World Database Protected Areas Points The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. -179.967010498047 -22.5170001983643 179.967010498047 14.6300001144409 pipap:World_Database_Protected_Areas_Points text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 3 5 0 15 EPSG:4326:4 6 10 0 31 EPSG:4326:5 13 20 0 63 EPSG:4326:6 26 40 0 127 EPSG:4326:7 53 80 0 255 EPSG:4326:8 107 160 0 511 EPSG:4326:9 214 320 0 1023 EPSG:4326:10 428 640 0 2047 EPSG:4326:11 857 1280 0 4095 EPSG:4326:12 1715 2560 0 8191 EPSG:4326:13 3430 5120 1 16382 EPSG:4326:14 6860 10241 3 32764 EPSG:4326:15 13720 20483 6 65529 EPSG:4326:16 27441 40966 12 131059 EPSG:4326:17 54882 81932 24 262119 EPSG:4326:18 109765 163864 48 524239 EPSG:4326:19 219531 327729 96 1048479 EPSG:4326:20 439062 655459 192 2096959 EPSG:4326:21 878124 1310918 384 4193919 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 7 9 0 15 EPSG:900913:5 14 18 0 31 EPSG:900913:6 29 36 0 63 EPSG:900913:7 58 72 0 127 EPSG:900913:8 117 144 0 255 EPSG:900913:9 234 288 0 511 EPSG:900913:10 469 577 0 1023 EPSG:900913:11 939 1155 0 2047 EPSG:900913:12 1879 2311 0 4095 EPSG:900913:13 3759 4622 0 8191 EPSG:900913:14 7518 9244 1 16382 EPSG:900913:15 15037 18488 3 32764 EPSG:900913:16 30075 36976 6 65529 EPSG:900913:17 60150 73953 12 131059 EPSG:900913:18 120301 147907 24 262119 EPSG:900913:19 240602 295815 48 524239 EPSG:900913:20 481204 591630 96 1048479 EPSG:900913:21 962408 1183260 192 2096959 EPSG:900913:22 1924817 2366520 384 4193919 EPSG:900913:23 3849634 4733040 768 8387839 EPSG:900913:24 7699268 9466080 1537 16775678 EPSG:900913:25 15398537 18932160 3074 33551357 EPSG:900913:26 30797074 37864320 6149 67102714 EPSG:900913:27 61594148 75728641 12299 134205428 EPSG:900913:28 123188297 151457282 24598 268410857 EPSG:900913:29 246376594 302914564 49197 536821714 EPSG:900913:30 492753188 605829129 98394 1073643429 TON_2018-2020_ImageryNiuaIslands_Sentinel2 This resource contains satellite imagery for the Niua Islands in Tonga. The imagery was collected on September 10, 2018 and April 22, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200422T215921_N0214_R086_T01LHC_20200423T012742 S2A_MSIL1C_20180910T215911_N0206_R086_T01LFC_20180911T005807 -175.76580960747003 -16.14312116915406 -173.66261740035625 -15.449209446505678 ton:TON_2018-2020_ImageryNiuaIslands_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 18 18 0 1 EPSG:4326:6 37 37 1 2 EPSG:4326:7 74 75 3 4 EPSG:4326:8 149 150 6 9 EPSG:4326:9 299 301 12 18 EPSG:4326:10 599 603 24 36 EPSG:4326:11 1199 1207 48 72 EPSG:4326:12 2399 2415 96 144 EPSG:4326:13 4799 4830 192 288 EPSG:4326:14 9598 9661 385 576 EPSG:4326:15 19196 19322 770 1153 EPSG:4326:16 38392 38645 1541 2307 EPSG:4326:17 76785 77291 3083 4614 EPSG:4326:18 153571 154582 6166 9229 EPSG:4326:19 307143 309164 12332 18458 EPSG:4326:20 614286 618328 24665 36917 EPSG:4326:21 1228572 1236656 49331 73835 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 34 34 0 1 EPSG:900913:7 69 69 1 2 EPSG:900913:8 139 139 3 4 EPSG:900913:9 278 279 6 9 EPSG:900913:10 556 558 12 18 EPSG:900913:11 1112 1117 24 36 EPSG:900913:12 2225 2234 48 72 EPSG:900913:13 4451 4468 96 144 EPSG:900913:14 8903 8936 192 288 EPSG:900913:15 17807 17873 385 576 EPSG:900913:16 35615 35746 770 1153 EPSG:900913:17 71230 71492 1541 2307 EPSG:900913:18 142460 142985 3083 4614 EPSG:900913:19 284921 285971 6166 9229 EPSG:900913:20 569842 571942 12332 18458 EPSG:900913:21 1139684 1143885 24665 36917 EPSG:900913:22 2279369 2287771 49331 73835 EPSG:900913:23 4558739 4575543 98663 147671 EPSG:900913:24 9117479 9151087 197327 295343 EPSG:900913:25 18234959 18302175 394655 590686 EPSG:900913:26 36469919 36604351 789310 1181373 EPSG:900913:27 72939838 73208702 1578620 2362747 EPSG:900913:28 145879677 146417405 3157241 4725494 EPSG:900913:29 291759354 292834811 6314482 9450989 EPSG:900913:30 583518709 585669623 12628964 18901979 TON_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -177.00013888888898 -23.00013888888877 -172.99986111111124 -14.9998611111111 ton:TON_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 5 0 0 EPSG:4326:4 9 10 0 0 EPSG:4326:5 18 20 0 1 EPSG:4326:6 37 40 1 2 EPSG:4326:7 74 80 2 4 EPSG:4326:8 149 160 4 9 EPSG:4326:9 298 321 8 19 EPSG:4326:10 597 642 17 39 EPSG:4326:11 1194 1285 34 79 EPSG:4326:12 2389 2571 68 159 EPSG:4326:13 4778 5142 136 318 EPSG:4326:14 9557 10285 273 637 EPSG:4326:15 19114 20571 546 1274 EPSG:4326:16 38229 41142 1092 2548 EPSG:4326:17 76458 82284 2184 5097 EPSG:4326:18 152917 164568 4368 10194 EPSG:4326:19 305834 329136 8737 20389 EPSG:4326:20 611668 658273 17475 40778 EPSG:4326:21 1223337 1316547 34950 81557 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 9 0 0 EPSG:900913:5 17 18 0 0 EPSG:900913:6 34 36 0 1 EPSG:900913:7 69 72 1 2 EPSG:900913:8 138 144 2 4 EPSG:900913:9 277 289 4 9 EPSG:900913:10 555 579 8 19 EPSG:900913:11 1110 1158 17 39 EPSG:900913:12 2220 2317 34 79 EPSG:900913:13 4441 4634 68 159 EPSG:900913:14 8882 9268 136 318 EPSG:900913:15 17765 18536 273 637 EPSG:900913:16 35530 37072 546 1274 EPSG:900913:17 71060 74144 1092 2548 EPSG:900913:18 142121 148289 2184 5097 EPSG:900913:19 284243 296578 4368 10194 EPSG:900913:20 568486 593156 8737 20389 EPSG:900913:21 1136972 1186312 17475 40778 EPSG:900913:22 2273944 2372624 34950 81557 EPSG:900913:23 4547888 4745248 69901 163115 EPSG:900913:24 9095776 9490497 139803 326230 EPSG:900913:25 18191553 18980994 279607 652460 EPSG:900913:26 36383107 37961988 559214 1304920 EPSG:900913:27 72766215 75923977 1118429 2609840 EPSG:900913:28 145532431 151847954 2236858 5219681 EPSG:900913:29 291064862 303695909 4473717 10439363 EPSG:900913:30 582129724 607391819 8947434 20878727 Global_2013_Ridges_BlueHabitats Global distribution of ridge seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -72.40031187547802 180.0 89.55005810622362 global:Global_2013_Ridges_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 28 0 63 EPSG:4326:6 0 57 0 127 EPSG:4326:7 0 115 0 255 EPSG:4326:8 0 230 0 511 EPSG:4326:9 1 461 0 1023 EPSG:4326:10 2 923 0 2047 EPSG:4326:11 5 1847 0 4095 EPSG:4326:12 10 3695 0 8191 EPSG:4326:13 20 7391 0 16383 EPSG:4326:14 40 14782 0 32767 EPSG:4326:15 81 29564 0 65535 EPSG:4326:16 163 59128 0 131071 EPSG:4326:17 327 118256 0 262143 EPSG:4326:18 655 236512 0 524287 EPSG:4326:19 1310 473025 0 1048575 EPSG:4326:20 2621 946050 0 2097151 EPSG:4326:21 5242 1892100 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 12 0 15 EPSG:900913:5 0 25 0 31 EPSG:900913:6 0 51 0 63 EPSG:900913:7 0 102 0 127 EPSG:900913:8 0 204 0 255 EPSG:900913:9 0 408 0 511 EPSG:900913:10 0 816 0 1023 EPSG:900913:11 0 1632 0 2047 EPSG:900913:12 0 3264 0 4095 EPSG:900913:13 0 6528 0 8191 EPSG:900913:14 0 13056 0 16383 EPSG:900913:15 0 26113 0 32767 EPSG:900913:16 0 52226 0 65535 EPSG:900913:17 0 104453 0 131071 EPSG:900913:18 0 208907 0 262143 EPSG:900913:19 0 417814 0 524287 EPSG:900913:20 0 835628 0 1048575 EPSG:900913:21 0 1671256 0 2097151 EPSG:900913:22 0 3342513 0 4194303 EPSG:900913:23 0 6685026 0 8388607 EPSG:900913:24 0 13370053 0 16777215 EPSG:900913:25 0 26740107 0 33554431 EPSG:900913:26 0 53480215 0 67108863 EPSG:900913:27 0 106960430 0 134217727 EPSG:900913:28 0 213920861 0 268435455 EPSG:900913:29 0 427841723 0 536870911 EPSG:900913:30 0 855683446 0 1073741823 MHL_2020_ImageryWotho_Sentinel2 This resource contains satellite imagery for Wotho Atoll in Marshall Islands. The imagery was collected on February 2, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200202T233251_N0208_R087_T58PFS_20200203T005726 165.91202518458516 9.856984048947911 166.91917142631954 10.85412139120383 mhl:MHL_2020_ImageryWotho_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 61 61 EPSG:4326:6 28 28 122 123 EPSG:4326:7 56 56 245 246 EPSG:4326:8 112 113 491 493 EPSG:4326:9 225 227 983 986 EPSG:4326:10 450 455 1967 1973 EPSG:4326:11 900 911 3935 3947 EPSG:4326:12 1801 1823 7871 7894 EPSG:4326:13 3602 3647 15742 15788 EPSG:4326:14 7204 7294 31485 31577 EPSG:4326:15 14408 14589 62971 63154 EPSG:4326:16 28816 29179 125942 126309 EPSG:4326:17 57632 58358 251885 252618 EPSG:4326:18 115264 116716 503770 505237 EPSG:4326:19 230529 233433 1007541 1010475 EPSG:4326:20 461058 466866 2015083 2020950 EPSG:4326:21 922116 933733 4030167 4041901 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 61 61 EPSG:900913:7 60 60 122 123 EPSG:900913:8 120 120 245 246 EPSG:900913:9 240 241 491 493 EPSG:900913:10 480 483 983 986 EPSG:900913:11 961 967 1967 1973 EPSG:900913:12 1923 1935 3935 3947 EPSG:900913:13 3847 3870 7871 7894 EPSG:900913:14 7695 7741 15742 15788 EPSG:900913:15 15390 15482 31485 31577 EPSG:900913:16 30780 30964 62971 63154 EPSG:900913:17 61560 61929 125942 126309 EPSG:900913:18 123120 123858 251885 252618 EPSG:900913:19 246241 247717 503770 505237 EPSG:900913:20 492482 495434 1007541 1010475 EPSG:900913:21 984964 990869 2015083 2020950 EPSG:900913:22 1969929 1981739 4030167 4041901 EPSG:900913:23 3939858 3963478 8060334 8083802 EPSG:900913:24 7879716 7926956 16120668 16167605 EPSG:900913:25 15759432 15853912 32241337 32335210 EPSG:900913:26 31518865 31707825 64482675 64670420 EPSG:900913:27 63037730 63415650 128965350 129340841 EPSG:900913:28 126075460 126831301 257930700 258681683 EPSG:900913:29 252150921 253662603 515861401 517363366 EPSG:900913:30 504301842 507325207 1031722802 1034726733 KIR_2019_DEM30mGilbertIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 168.99986111111102 -3.0001388888888485 177.00013888888873 4.000138888888861 kir:KIR_2019_DEM30mGilbertIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 3 3 EPSG:4326:2 1 2 7 7 EPSG:4326:3 3 4 15 15 EPSG:4326:4 7 8 31 31 EPSG:4326:5 15 16 62 63 EPSG:4326:6 30 33 124 126 EPSG:4326:7 61 66 248 253 EPSG:4326:8 122 132 496 507 EPSG:4326:9 244 264 992 1015 EPSG:4326:10 489 529 1985 2030 EPSG:4326:11 978 1058 3970 4061 EPSG:4326:12 1956 2116 7941 8123 EPSG:4326:13 3913 4232 15883 16247 EPSG:4326:14 7827 8465 31766 32494 EPSG:4326:15 15655 16930 63533 64989 EPSG:4326:16 31311 33860 127066 129979 EPSG:4326:17 62623 67720 254133 259959 EPSG:4326:18 125246 135441 508267 519919 EPSG:4326:19 250492 270882 1016535 1039838 EPSG:4326:20 500985 541765 2033071 2079676 EPSG:4326:21 1001971 1083530 4066143 4159353 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 3 3 EPSG:900913:3 3 4 7 7 EPSG:900913:4 7 8 15 15 EPSG:900913:5 15 16 31 31 EPSG:900913:6 31 32 62 63 EPSG:900913:7 62 65 124 126 EPSG:900913:8 125 130 248 253 EPSG:900913:9 250 260 496 507 EPSG:900913:10 500 520 992 1015 EPSG:900913:11 1001 1041 1985 2030 EPSG:900913:12 2002 2082 3970 4061 EPSG:900913:13 4004 4164 7941 8123 EPSG:900913:14 8009 8328 15883 16247 EPSG:900913:15 16019 16657 31766 32494 EPSG:900913:16 32039 33314 63533 64989 EPSG:900913:17 64078 66628 127066 129979 EPSG:900913:18 128156 133257 254133 259959 EPSG:900913:19 256313 266515 508267 519919 EPSG:900913:20 512627 533030 1016535 1039838 EPSG:900913:21 1025254 1066061 2033071 2079676 EPSG:900913:22 2050509 2132122 4066143 4159353 EPSG:900913:23 4101018 4264244 8132286 8318706 EPSG:900913:24 8202036 8528488 16264572 16637412 EPSG:900913:25 16404072 17056977 32529144 33274824 EPSG:900913:26 32808145 34113954 65058289 66549649 EPSG:900913:27 65616291 68227908 130116578 133099298 EPSG:900913:28 131232582 136455816 260233157 266198597 EPSG:900913:29 262465164 272911633 520466315 532397194 EPSG:900913:30 524930328 545823266 1040932631 1064794389 SLB_2019_DEM1arcsec_ASTERv3 Resource contains raster files for a Digital Elevation Model (DEM) for the Solomon Islands. The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 154.999861111111 -12.000138888888811 168.00013888888876 -3.99986111111111 slb:SLB_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 14 15 EPSG:4326:4 8 9 29 30 EPSG:4326:5 16 18 59 61 EPSG:4326:6 33 36 119 123 EPSG:4326:7 66 72 238 247 EPSG:4326:8 133 145 476 494 EPSG:4326:9 267 290 952 989 EPSG:4326:10 534 580 1905 1979 EPSG:4326:11 1069 1160 3811 3959 EPSG:4326:12 2139 2321 7623 7918 EPSG:4326:13 4278 4642 15246 15837 EPSG:4326:14 8556 9284 30492 31675 EPSG:4326:15 17112 18568 60984 63351 EPSG:4326:16 34224 37137 121969 126702 EPSG:4326:17 68448 74274 243939 253405 EPSG:4326:18 136897 148548 487878 506811 EPSG:4326:19 273794 297096 975757 1013623 EPSG:4326:20 547588 594193 1951515 2027247 EPSG:4326:21 1095177 1188387 3903031 4054495 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 14 15 EPSG:900913:5 16 17 29 30 EPSG:900913:6 32 34 59 61 EPSG:900913:7 65 68 119 123 EPSG:900913:8 130 136 238 247 EPSG:900913:9 261 273 476 494 EPSG:900913:10 523 546 952 989 EPSG:900913:11 1046 1092 1905 1979 EPSG:900913:12 2093 2185 3811 3959 EPSG:900913:13 4187 4371 7623 7918 EPSG:900913:14 8374 8742 15246 15837 EPSG:900913:15 16748 17484 30492 31675 EPSG:900913:16 33496 34968 60984 63351 EPSG:900913:17 66993 69937 121969 126702 EPSG:900913:18 133986 139874 243939 253405 EPSG:900913:19 267973 279749 487878 506811 EPSG:900913:20 535947 559499 975757 1013623 EPSG:900913:21 1071895 1118998 1951515 2027247 EPSG:900913:22 2143791 2237997 3903031 4054495 EPSG:900913:23 4287583 4475994 7806062 8108990 EPSG:900913:24 8575166 8951989 15612125 16217981 EPSG:900913:25 17150333 17903978 31224250 32435963 EPSG:900913:26 34300666 35807956 62448500 64871927 EPSG:900913:27 68601333 71615912 124897000 129743855 EPSG:900913:28 137202666 143231825 249794001 259487711 EPSG:900913:29 274405332 286463650 499588002 518975422 EPSG:900913:30 548810664 572927300 999176005 1037950844 MHL_2020_ImageryUjae_Sentinel2 This resource contains satellite imagery for Ujae Atoll in the Marshall Islands. The imagery was collected on February 2 and June 26, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200202T233251_N0208_R087_T58PER_20200203T005726 S2B_MSIL1C_20200626T233259_N0209_R087_T58PEQ_20200627T005656 164.99981753781248 8.05235960109292 166.00148210114278 9.951408032022043 mhl:MHL_2020_ImageryUjae_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 61 61 EPSG:4326:6 28 29 122 123 EPSG:4326:7 56 58 245 246 EPSG:4326:8 113 116 490 492 EPSG:4326:9 227 233 981 984 EPSG:4326:10 455 466 1962 1968 EPSG:4326:11 910 932 3925 3936 EPSG:4326:12 1821 1864 7850 7873 EPSG:4326:13 3643 3729 15701 15746 EPSG:4326:14 7286 7459 31402 31493 EPSG:4326:15 14572 14918 62805 62987 EPSG:4326:16 29144 29836 125610 125975 EPSG:4326:17 58289 59672 251221 251950 EPSG:4326:18 116579 119344 502442 503901 EPSG:4326:19 233158 238689 1004884 1007802 EPSG:4326:20 466316 477379 2009769 2015604 EPSG:4326:21 932633 954759 4019539 4031209 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 61 61 EPSG:900913:7 60 61 122 123 EPSG:900913:8 120 122 245 246 EPSG:900913:9 241 244 490 492 EPSG:900913:10 483 489 981 984 EPSG:900913:11 967 978 1962 1968 EPSG:900913:12 1934 1956 3925 3936 EPSG:900913:13 3868 3912 7850 7873 EPSG:900913:14 7736 7824 15701 15746 EPSG:900913:15 15473 15648 31402 31493 EPSG:900913:16 30947 31297 62805 62987 EPSG:900913:17 61894 62594 125610 125975 EPSG:900913:18 123788 125189 251221 251950 EPSG:900913:19 247577 250378 502442 503901 EPSG:900913:20 495155 500756 1004884 1007802 EPSG:900913:21 990311 1001512 2009769 2015604 EPSG:900913:22 1980622 2003024 4019539 4031209 EPSG:900913:23 3961244 4006049 8039078 8062418 EPSG:900913:24 7922489 8012099 16078156 16124837 EPSG:900913:25 15844978 16024198 32156313 32249675 EPSG:900913:26 31689957 32048397 64312627 64499351 EPSG:900913:27 63379914 64096794 128625254 128998702 EPSG:900913:28 126759829 128193589 257250509 257997404 EPSG:900913:29 253519658 256387179 514501018 515994809 EPSG:900913:30 507039316 512774358 1029002037 1031989618 Global_2011_Seamounts_ZSL This dataset shows the global distribution of seamounts identified using global bathymetric data at 30 arc-sec resolution. A total of 33,452 seamounts were identified, representing the largest global set of identified seamounts to date. Seamount habitat was found to constitute approximately 4.7% of the ocean floor. The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN). Please use the following citation for this dataset: Yesson C, Clark MR, Taylor M, Rogers AD (2011). The global distribution of seamounts based on 30-second bathymetry data. Deep Sea Research Part I: Oceanographic Research Papers 58: 442-453. doi: 10.1016/j.dsr.2011.02.004. Data URL: http://data.unep-wcmc.org/datasets/41 -179.979166666999 -75.1452636718999 179.983333332999 84.9797363281 global:Global_2011_Seamounts_ZSL image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 58 0 127 EPSG:4326:7 3 117 0 255 EPSG:4326:8 7 234 0 511 EPSG:4326:9 14 469 0 1023 EPSG:4326:10 28 939 0 2047 EPSG:4326:11 57 1878 0 4095 EPSG:4326:12 114 3757 0 8191 EPSG:4326:13 228 7515 0 16383 EPSG:4326:14 456 15031 1 32766 EPSG:4326:15 913 30063 3 65532 EPSG:4326:16 1827 60127 7 131065 EPSG:4326:17 3655 120255 15 262131 EPSG:4326:18 7311 240510 30 524263 EPSG:4326:19 14622 481020 60 1048527 EPSG:4326:20 29245 962040 121 2097054 EPSG:4326:21 58490 1924081 242 4194109 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 52 0 63 EPSG:900913:7 0 105 0 127 EPSG:900913:8 0 211 0 255 EPSG:900913:9 1 422 0 511 EPSG:900913:10 2 844 0 1023 EPSG:900913:11 4 1688 0 2047 EPSG:900913:12 9 3376 0 4095 EPSG:900913:13 18 6752 0 8191 EPSG:900913:14 37 13504 0 16383 EPSG:900913:15 74 27009 1 32766 EPSG:900913:16 149 54019 3 65532 EPSG:900913:17 299 108038 7 131065 EPSG:900913:18 598 216076 15 262131 EPSG:900913:19 1196 432153 30 524263 EPSG:900913:20 2393 864306 60 1048527 EPSG:900913:21 4786 1728613 121 2097054 EPSG:900913:22 9573 3457227 242 4194109 EPSG:900913:23 19146 6914455 485 8388219 EPSG:900913:24 38293 13828911 970 16776439 EPSG:900913:25 76586 27657822 1941 33552878 EPSG:900913:26 153172 55315645 3883 67105757 EPSG:900913:27 306344 110631290 7767 134211514 EPSG:900913:28 612689 221262581 15534 268423028 EPSG:900913:29 1225378 442525162 31068 536846056 EPSG:900913:30 2450756 885050324 62137 1073692113 COK_2019_Hillshade1arcsecNorthIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -166.00013888888893 -12.000138888888845 -156.99986111111124 -7.99986111111111 cok:COK_2019_Hillshade1arcsecNorthIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 1 EPSG:4326:4 8 9 1 2 EPSG:4326:5 17 18 2 4 EPSG:4326:6 34 36 4 8 EPSG:4326:7 69 72 9 16 EPSG:4326:8 139 145 19 32 EPSG:4326:9 278 290 39 65 EPSG:4326:10 557 580 79 130 EPSG:4326:11 1115 1160 159 261 EPSG:4326:12 2230 2321 318 523 EPSG:4326:13 4460 4642 637 1046 EPSG:4326:14 8920 9284 1274 2093 EPSG:4326:15 17840 18568 2548 4187 EPSG:4326:16 35680 37137 5097 8374 EPSG:4326:17 71361 74274 10194 16748 EPSG:4326:18 142722 148548 20388 33496 EPSG:4326:19 285445 297096 40777 66992 EPSG:4326:20 570890 594193 81555 133985 EPSG:4326:21 1141781 1188387 163110 267971 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 1 EPSG:900913:5 16 17 1 2 EPSG:900913:6 33 34 2 4 EPSG:900913:7 66 68 4 8 EPSG:900913:8 133 136 9 16 EPSG:900913:9 267 273 19 32 EPSG:900913:10 534 546 39 65 EPSG:900913:11 1069 1092 79 130 EPSG:900913:12 2139 2185 159 261 EPSG:900913:13 4278 4371 318 523 EPSG:900913:14 8557 8742 637 1046 EPSG:900913:15 17114 17484 1274 2093 EPSG:900913:16 34229 34968 2548 4187 EPSG:900913:17 68458 69937 5097 8374 EPSG:900913:18 136916 139874 10194 16748 EPSG:900913:19 273832 279749 20388 33496 EPSG:900913:20 547665 559499 40777 66992 EPSG:900913:21 1095330 1118998 81555 133985 EPSG:900913:22 2190661 2237997 163110 267971 EPSG:900913:23 4381322 4475994 326220 535942 EPSG:900913:24 8762645 8951989 652440 1071884 EPSG:900913:25 17525291 17903978 1304881 2143768 EPSG:900913:26 35050583 35807956 2609763 4287536 EPSG:900913:27 70101166 71615912 5219526 8575073 EPSG:900913:28 140202333 143231825 10439053 17150146 EPSG:900913:29 280404666 286463650 20878106 34300293 EPSG:900913:30 560809333 572927300 41756212 68600586 Global_2000-2014_SurfacePARMean_BioOracle2 Raster data representing the mean levels of photosynthetically active radiation (PAR) in E/m2/year for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Raster data representing the mean levels of photosynthetically active radiation (PAR) in E/m2/year for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfacePARMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 FSM_2016_ImageryKosrae_Sentinel2 Satellite imagery of Kosrae derived from 2016 Sentinel-2 satellite. 162.7098788675485 5.10732499851115 163.22256491635443 5.524612467165803 fsm:FSM_2016_ImageryKosrae_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 15 15 60 61 EPSG:4326:6 30 30 121 122 EPSG:4326:7 60 60 243 244 EPSG:4326:8 120 120 487 488 EPSG:4326:9 240 241 974 976 EPSG:4326:10 480 482 1949 1952 EPSG:4326:11 961 965 3899 3905 EPSG:4326:12 1922 1931 7798 7810 EPSG:4326:13 3844 3863 15597 15620 EPSG:4326:14 7689 7727 31194 31240 EPSG:4326:15 15378 15454 62388 62481 EPSG:4326:16 30756 30908 124776 124963 EPSG:4326:17 61513 61816 249553 249927 EPSG:4326:18 123026 123633 499107 499854 EPSG:4326:19 246052 247267 998214 999708 EPSG:4326:20 492104 494535 1996429 1999416 EPSG:4326:21 984209 989071 3992859 3998832 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 31 31 60 61 EPSG:900913:7 62 62 121 122 EPSG:900913:8 124 124 243 244 EPSG:900913:9 248 248 487 488 EPSG:900913:10 496 497 974 976 EPSG:900913:11 992 994 1949 1952 EPSG:900913:12 1985 1989 3899 3905 EPSG:900913:13 3970 3979 7798 7810 EPSG:900913:14 7940 7959 15597 15620 EPSG:900913:15 15880 15918 31194 31240 EPSG:900913:16 31760 31837 62388 62481 EPSG:900913:17 63521 63674 124776 124963 EPSG:900913:18 127042 127348 249553 249927 EPSG:900913:19 254085 254696 499107 499854 EPSG:900913:20 508171 509392 998214 999708 EPSG:900913:21 1016342 1018784 1996429 1999416 EPSG:900913:22 2032685 2037568 3992859 3998832 EPSG:900913:23 4065371 4075136 7985718 7997665 EPSG:900913:24 8130742 8150273 15971437 15995330 EPSG:900913:25 16261485 16300547 31942875 31990661 EPSG:900913:26 32522970 32601094 63885751 63981323 EPSG:900913:27 65045940 65202188 127771503 127962646 EPSG:900913:28 130091880 130404377 255543007 255925293 EPSG:900913:29 260183760 260808754 511086014 511850587 EPSG:900913:30 520367520 521617508 1022172029 1023701174 FJI_2020_ImageryYasawaMamanuca_Sentinel2 This resource contains satellite imagery for the Yasawa and Mamanuca Islands in Fiji. The imagery was collected on July 6, September 28, and October 9, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20200705T223009_N0214_R072_T60KWG_20200706T001130 S2B_MSIL2A_20200705T223009_N0214_R072_T60KWF_20200706T001130 S2A_MSIL2A_20200928T223021_N0214_R072_T60KVF_20200928T235635 S2A_MSIL2A_20201008T223021_N0214_R072_T60KVG_20201009T001515 176.7032030008189 -17.939808762771968 177.71499926596604 -16.63133699923546 fji:FJI_2020_ImageryYasawaMamanuca_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 31 31 EPSG:4326:5 18 19 63 63 EPSG:4326:6 37 38 126 127 EPSG:4326:7 75 76 253 254 EPSG:4326:8 151 153 507 508 EPSG:4326:9 303 307 1014 1017 EPSG:4326:10 606 614 2029 2035 EPSG:4326:11 1213 1228 4058 4070 EPSG:4326:12 2426 2456 8116 8140 EPSG:4326:13 4852 4912 16233 16280 EPSG:4326:14 9705 9824 32467 32560 EPSG:4326:15 19411 19649 64935 65120 EPSG:4326:16 38823 39299 129871 130240 EPSG:4326:17 77646 78599 259743 260480 EPSG:4326:18 155293 157198 519486 520960 EPSG:4326:19 310586 314397 1038973 1041920 EPSG:4326:20 621172 628794 2077946 2083840 EPSG:4326:21 1242345 1257589 4155893 4167681 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 31 31 EPSG:900913:6 34 35 63 63 EPSG:900913:7 69 70 126 127 EPSG:900913:8 139 140 253 254 EPSG:900913:9 279 281 507 508 EPSG:900913:10 559 563 1014 1017 EPSG:900913:11 1119 1127 2029 2035 EPSG:900913:12 2239 2255 4058 4070 EPSG:900913:13 4479 4511 8116 8140 EPSG:900913:14 8959 9022 16233 16280 EPSG:900913:15 17919 18044 32467 32560 EPSG:900913:16 35839 36088 64935 65120 EPSG:900913:17 71678 72177 129871 130240 EPSG:900913:18 143356 144354 259743 260480 EPSG:900913:19 286712 288708 519486 520960 EPSG:900913:20 573425 577416 1038973 1041920 EPSG:900913:21 1146850 1154833 2077946 2083840 EPSG:900913:22 2293700 2309667 4155893 4167681 EPSG:900913:23 4587401 4619334 8311787 8335363 EPSG:900913:24 9174803 9238669 16623574 16670727 EPSG:900913:25 18349607 18477338 33247148 33341454 EPSG:900913:26 36699215 36954676 66494296 66682908 EPSG:900913:27 73398430 73909352 132988593 133365817 EPSG:900913:28 146796861 147818705 265977186 266731635 EPSG:900913:29 293593723 295637410 531954372 533463271 EPSG:900913:30 587187447 591274821 1063908744 1066926543 Pacific_2018_DeepwaterBioregions_MACBIO Bioregions, of course, are just one of the important data layers in indentifying an ecologically representative system of marine protected areas. To be truly ecologically representative and comprehensive, one must also consider all available information about habitats, species and ecological processes. In addition, socio-economic and cultural considerations are vital in the spatial planning process. This report is focussed upon one important, but only one, input to marine spatial planning: the development of marine bioregions. To take account of differing types and resolution of data, two separate bioregionalisations were developed; firstly, for the deepwater environments and secondly for reef-associated environments. For the deepwater, thirty, mainly physical, environmental variables were assessed to be adequately comprehensive and reliable to be included in the analysis. These data were allocated to over 140 000 grid cells of 20x20 km across the Southwest Pacific. K-means and then hierarchical cluster analyses were then conducted to identify groups of analytical units that contained similar environmental conditions. The number of clusters was determined by examining the dendrogram and setting a similarity value that aligned with a natural break in similarity. For the second bioregionalisation, reef-associated datasets of more than 200 fish, coral and other invertebrate species were collated from multiple data providers who sampled over 6500 sites. We combined these datasets, which were quality-checked for taxonomic consistency and normalised, resulting in more than 800 species that could be used in further analysis. All these species data and seven independent environmental datasets were then allocated to over 45,000 grid cells of 9x9 km across the SW Pacific. Next, the probability of observing these species was predicted, using the environmental variables, for grid cells within the unsurveyed reef-associated habitats. Hierarchical cluster analysis was then applied to the reef-associated datasets to deliver clusters of grid cells with high similarity. The final analytical steps, applied to all the outputs, were to refine the resulting clusters using manual spatial processing and to describe each cluster to deliver the draft bioregions. This work resulted in 262 draft deepwater marine bioregions and 102 draft reef-associated bioregions across the SW Pacific. Please cite this dataset as: Wendt H., Beger M., Sullivan J., LeGrand J., Davey K., Yakub N., Fernandes L. 2018. Draft marine bioregions of the Southwest Pacific.” GIZ, IUCN, SPREP: Suva. -180.0 -59.99999999999866 180.0 66.66999999999982 pacific:Pacific_2018_DeepwaterBioregions_MACBIO image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 1 6 0 15 EPSG:4326:4 2 13 0 31 EPSG:4326:5 4 26 0 63 EPSG:4326:6 8 53 0 127 EPSG:4326:7 16 106 0 255 EPSG:4326:8 33 213 0 511 EPSG:4326:9 66 426 0 1023 EPSG:4326:10 132 853 0 2047 EPSG:4326:11 265 1706 0 4095 EPSG:4326:12 530 3413 0 8191 EPSG:4326:13 1061 6826 0 16383 EPSG:4326:14 2123 13653 0 32767 EPSG:4326:15 4247 27306 0 65535 EPSG:4326:16 8494 54613 0 131071 EPSG:4326:17 16988 109226 0 262143 EPSG:4326:18 33976 218453 0 524287 EPSG:4326:19 67953 436906 0 1048575 EPSG:4326:20 135907 873813 0 2097151 EPSG:4326:21 271814 1747626 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 2 0 3 EPSG:900913:3 1 5 0 7 EPSG:900913:4 3 11 1 15 EPSG:900913:5 7 22 3 30 EPSG:900913:6 15 45 6 61 EPSG:900913:7 31 90 12 122 EPSG:900913:8 63 181 25 244 EPSG:900913:9 127 363 51 488 EPSG:900913:10 254 726 102 976 EPSG:900913:11 509 1453 205 1952 EPSG:900913:12 1019 2906 411 3904 EPSG:900913:13 2039 5813 823 7808 EPSG:900913:14 4078 11626 1646 15616 EPSG:900913:15 8156 23252 3293 31232 EPSG:900913:16 16312 46504 6586 62464 EPSG:900913:17 32624 93008 13173 124928 EPSG:900913:18 65248 186017 26346 249857 EPSG:900913:19 130497 372034 52692 499714 EPSG:900913:20 260994 744069 105385 999428 EPSG:900913:21 521989 1488139 210771 1998857 EPSG:900913:22 1043979 2976279 421542 3997715 EPSG:900913:23 2087958 5952559 843084 7995430 EPSG:900913:24 4175917 11905118 1686168 15990861 EPSG:900913:25 8351835 23810236 3372336 31981723 EPSG:900913:26 16703670 47620473 6744673 63963446 EPSG:900913:27 33407340 95240947 13489347 127926893 EPSG:900913:28 66814680 190481895 26978695 255853786 EPSG:900913:29 133629360 380963791 53957390 511707573 EPSG:900913:30 267258720 761927583 107914781 1023415147 Global_2000-2014_SurfaceCalciteMean_BioOracle2 Raster data representing the mean levels of calcite in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -179.648249372 -64.85343325800001 179.637254127 64.825355795 global:Global_2000-2014_SurfaceCalciteMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 1 6 0 15 EPSG:4326:4 2 13 0 31 EPSG:4326:5 4 27 0 63 EPSG:4326:6 8 55 0 127 EPSG:4326:7 17 110 0 255 EPSG:4326:8 35 220 0 511 EPSG:4326:9 71 440 1 1022 EPSG:4326:10 143 880 2 2045 EPSG:4326:11 286 1761 4 4091 EPSG:4326:12 572 3523 8 8183 EPSG:4326:13 1145 7047 16 16367 EPSG:4326:14 2291 14095 32 32734 EPSG:4326:15 4582 28190 64 65469 EPSG:4326:16 9165 56380 128 130939 EPSG:4326:17 18331 112760 256 261879 EPSG:4326:18 36663 225521 512 523759 EPSG:4326:19 73326 451043 1024 1047519 EPSG:4326:20 146652 902086 2049 2095038 EPSG:4326:21 293305 1804173 4098 4190077 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 2 5 0 7 EPSG:900913:4 4 11 0 15 EPSG:900913:5 8 23 0 31 EPSG:900913:6 16 47 0 63 EPSG:900913:7 33 94 0 127 EPSG:900913:8 66 189 0 255 EPSG:900913:9 133 378 0 511 EPSG:900913:10 267 756 1 1022 EPSG:900913:11 535 1513 2 2045 EPSG:900913:12 1070 3026 4 4091 EPSG:900913:13 2141 6052 8 8183 EPSG:900913:14 4282 12104 16 16367 EPSG:900913:15 8565 24208 32 32734 EPSG:900913:16 17130 48417 64 65469 EPSG:900913:17 34260 96835 128 130939 EPSG:900913:18 68520 193671 256 261879 EPSG:900913:19 137040 387343 512 523759 EPSG:900913:20 274081 774686 1024 1047519 EPSG:900913:21 548163 1549373 2049 2095038 EPSG:900913:22 1096326 3098747 4098 4190077 EPSG:900913:23 2192652 6197494 8196 8380155 EPSG:900913:24 4385304 12394989 16392 16760310 EPSG:900913:25 8770609 24789978 32785 33520621 EPSG:900913:26 17541218 49579956 65571 67041243 EPSG:900913:27 35082437 99159912 131142 134082486 EPSG:900913:28 70164874 198319824 262284 268164973 EPSG:900913:29 140329748 396639649 524568 536329946 EPSG:900913:30 280659497 793279298 1049137 1072659892 Global_2000-2014_SurfacePhytoplanktonMean_BioOracle2 Raster data representing the mean levels of phytoplankton in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Raster data representing the mean levels of phytoplankton in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfacePhytoplanktonMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 MHL_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 159.9998611111111 2.999861111111123 174.00013888888876 15.000138888888795 mhl:MHL_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 30 31 EPSG:4326:5 13 15 60 62 EPSG:4326:6 26 30 120 125 EPSG:4326:7 53 61 241 251 EPSG:4326:8 106 123 483 503 EPSG:4326:9 213 247 967 1006 EPSG:4326:10 426 494 1934 2013 EPSG:4326:11 853 989 3868 4027 EPSG:4326:12 1706 1979 7736 8055 EPSG:4326:13 3413 3959 15473 16110 EPSG:4326:14 6826 7918 30947 32221 EPSG:4326:15 13653 15837 61895 64443 EPSG:4326:16 27306 31675 123790 128887 EPSG:4326:17 54613 63351 247580 257775 EPSG:4326:18 109226 126703 495160 515550 EPSG:4326:19 218452 253406 990321 1031100 EPSG:4326:20 436905 506812 1980642 2062200 EPSG:4326:21 873811 1013625 3961285 4124400 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 30 31 EPSG:900913:6 29 31 60 62 EPSG:900913:7 58 62 120 125 EPSG:900913:8 117 125 241 251 EPSG:900913:9 234 251 483 503 EPSG:900913:10 468 503 967 1006 EPSG:900913:11 937 1006 1934 2013 EPSG:900913:12 1875 2013 3868 4027 EPSG:900913:13 3750 4027 7736 8055 EPSG:900913:14 7501 8055 15473 16110 EPSG:900913:15 15002 16110 30947 32221 EPSG:900913:16 30005 32221 61895 64443 EPSG:900913:17 60011 64443 123790 128887 EPSG:900913:18 120022 128886 247580 257775 EPSG:900913:19 240044 257773 495160 515550 EPSG:900913:20 480089 515546 990321 1031100 EPSG:900913:21 960178 1031092 1980642 2062200 EPSG:900913:22 1920356 2062185 3961285 4124400 EPSG:900913:23 3840712 4124370 7922570 8248801 EPSG:900913:24 7681425 8248740 15845141 16497602 EPSG:900913:25 15362851 16497480 31690283 32995204 EPSG:900913:26 30725702 32994961 63380567 65990408 EPSG:900913:27 61451405 65989923 126761135 131980817 EPSG:900913:28 122902810 131979846 253522271 263961635 EPSG:900913:29 245805621 263959693 507044543 527923270 EPSG:900913:30 491611242 527919386 1014089086 1055846541 Global_2013_Seamounts_BlueHabitats Global distribution of seamount seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -75.2333303625266 180.0 77.08469688023433 global:Global_2013_Seamounts_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 1 14 0 31 EPSG:4326:5 2 29 0 63 EPSG:4326:6 4 58 0 127 EPSG:4326:7 9 117 0 255 EPSG:4326:8 18 234 0 511 EPSG:4326:9 36 469 0 1023 EPSG:4326:10 73 939 0 2047 EPSG:4326:11 146 1879 0 4095 EPSG:4326:12 293 3759 0 8191 EPSG:4326:13 587 7519 0 16383 EPSG:4326:14 1175 15039 0 32767 EPSG:4326:15 2351 30079 0 65535 EPSG:4326:16 4702 60159 0 131071 EPSG:4326:17 9404 120319 0 262143 EPSG:4326:18 18809 240638 0 524287 EPSG:4326:19 37618 481276 0 1048575 EPSG:4326:20 75237 962553 0 2097151 EPSG:4326:21 150474 1925107 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 1 6 0 7 EPSG:900913:4 2 13 0 15 EPSG:900913:5 4 26 0 31 EPSG:900913:6 9 52 0 63 EPSG:900913:7 19 105 0 127 EPSG:900913:8 39 211 0 255 EPSG:900913:9 78 422 0 511 EPSG:900913:10 156 845 0 1023 EPSG:900913:11 313 1690 0 2047 EPSG:900913:12 627 3380 0 4095 EPSG:900913:13 1255 6760 0 8191 EPSG:900913:14 2510 13520 0 16383 EPSG:900913:15 5021 27040 0 32767 EPSG:900913:16 10043 54081 0 65535 EPSG:900913:17 20086 108163 0 131071 EPSG:900913:18 40172 216327 0 262143 EPSG:900913:19 80345 432655 0 524287 EPSG:900913:20 160690 865310 0 1048575 EPSG:900913:21 321381 1730620 0 2097151 EPSG:900913:22 642763 3461241 0 4194303 EPSG:900913:23 1285527 6922483 0 8388607 EPSG:900913:24 2571055 13844966 0 16777215 EPSG:900913:25 5142110 27689933 0 33554431 EPSG:900913:26 10284221 55379867 0 67108863 EPSG:900913:27 20568443 110759734 0 134217727 EPSG:900913:28 41136886 221519469 0 268435455 EPSG:900913:29 82273772 443038939 0 536870911 EPSG:900913:30 164547544 886077878 0 1073741823 Global_2011_SeamountsBaseArea_ZSL This dataset shows the global distribution of seamounts identified using global bathymetric data at 30 arc-sec resolution. A total of 33,452 seamounts were identified, representing the largest global set of identified seamounts to date. Seamount habitat was found to constitute approximately 4.7% of the ocean floor. The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN). Please use the following citation for this dataset: Yesson C, Clark MR, Taylor M, Rogers AD (2011). The global distribution of seamounts based on 30-second bathymetry data. Deep Sea Research Part I: Oceanographic Research Papers 58: 442-453. doi: 10.1016/j.dsr.2011.02.004. Data URL: http://data.unep-wcmc.org/datasets/41 -180.0 -75.28273700520833 179.999985 85.16306299479167 global:Global_2011_SeamountsBaseArea_ZSL image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 58 0 127 EPSG:4326:7 3 117 0 255 EPSG:4326:8 6 235 0 511 EPSG:4326:9 13 470 0 1023 EPSG:4326:10 27 940 0 2047 EPSG:4326:11 55 1880 0 4095 EPSG:4326:12 110 3761 0 8191 EPSG:4326:13 220 7522 0 16383 EPSG:4326:14 440 15044 0 32767 EPSG:4326:15 880 30088 0 65535 EPSG:4326:16 1761 60177 0 131071 EPSG:4326:17 3522 120355 0 262143 EPSG:4326:18 7044 240710 0 524287 EPSG:4326:19 14088 481420 0 1048575 EPSG:4326:20 28177 962841 0 2097151 EPSG:4326:21 56354 1925683 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 52 0 63 EPSG:900913:7 0 105 0 127 EPSG:900913:8 0 211 0 255 EPSG:900913:9 0 422 0 511 EPSG:900913:10 0 845 0 1023 EPSG:900913:11 0 1691 0 2047 EPSG:900913:12 0 3382 0 4095 EPSG:900913:13 0 6764 0 8191 EPSG:900913:14 0 13529 0 16383 EPSG:900913:15 0 27058 0 32767 EPSG:900913:16 0 54117 0 65535 EPSG:900913:17 0 108234 0 131071 EPSG:900913:18 0 216468 0 262143 EPSG:900913:19 0 432937 0 524287 EPSG:900913:20 0 865875 0 1048575 EPSG:900913:21 0 1731751 0 2097151 EPSG:900913:22 0 3463503 0 4194303 EPSG:900913:23 0 6927007 0 8388607 EPSG:900913:24 0 13854015 0 16777215 EPSG:900913:25 0 27708030 0 33554430 EPSG:900913:26 0 55416061 0 67108861 EPSG:900913:27 0 110832122 0 134217722 EPSG:900913:28 0 221664244 0 268435444 EPSG:900913:29 0 443328488 0 536870889 EPSG:900913:30 0 886656977 0 1073741779 Global_2013_Terraces_BlueHabitats Global distribution of terrace seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.9999377157567 -74.68680882677654 179.9999649724998 88.86009699676168 global:Global_2013_Terraces_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 58 0 127 EPSG:4326:7 0 117 0 255 EPSG:4326:8 1 234 0 511 EPSG:4326:9 3 468 0 1023 EPSG:4326:10 6 936 0 2047 EPSG:4326:11 12 1873 0 4095 EPSG:4326:12 25 3747 0 8191 EPSG:4326:13 51 7495 0 16383 EPSG:4326:14 103 14990 0 32767 EPSG:4326:15 207 29980 0 65535 EPSG:4326:16 415 59960 0 131071 EPSG:4326:17 830 119921 0 262143 EPSG:4326:18 1660 239842 0 524287 EPSG:4326:19 3320 479685 0 1048575 EPSG:4326:20 6640 959370 0 2097151 EPSG:4326:21 13280 1918740 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 52 0 63 EPSG:900913:7 0 104 0 127 EPSG:900913:8 0 209 0 255 EPSG:900913:9 0 419 0 511 EPSG:900913:10 0 839 0 1023 EPSG:900913:11 0 1678 0 2047 EPSG:900913:12 0 3356 0 4095 EPSG:900913:13 0 6712 0 8191 EPSG:900913:14 0 13424 0 16383 EPSG:900913:15 0 26849 0 32767 EPSG:900913:16 0 53698 0 65535 EPSG:900913:17 0 107396 0 131071 EPSG:900913:18 0 214793 0 262143 EPSG:900913:19 0 429587 0 524287 EPSG:900913:20 0 859175 0 1048575 EPSG:900913:21 0 1718350 0 2097151 EPSG:900913:22 0 3436700 0 4194303 EPSG:900913:23 0 6873401 1 8388607 EPSG:900913:24 0 13746803 2 16777214 EPSG:900913:25 0 27493607 5 33554428 EPSG:900913:26 0 54987215 11 67108857 EPSG:900913:27 0 109974431 23 134217714 EPSG:900913:28 0 219948862 46 268435429 EPSG:900913:29 0 439897724 92 536870859 EPSG:900913:30 0 879795448 185 1073741719 Global_2013_Guyots_BlueHabitats Global distribution of guyot seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.9472129674865 -69.01585040428131 178.55731670575892 57.64146887290178 global:Global_2013_Guyots_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 1 7 0 15 EPSG:4326:4 2 14 0 31 EPSG:4326:5 5 28 0 63 EPSG:4326:6 11 56 0 127 EPSG:4326:7 23 113 0 254 EPSG:4326:8 46 226 0 509 EPSG:4326:9 92 452 0 1019 EPSG:4326:10 184 904 0 2039 EPSG:4326:11 368 1809 0 4079 EPSG:4326:12 736 3618 1 8159 EPSG:4326:13 1472 7236 2 16318 EPSG:4326:14 2945 14473 4 32636 EPSG:4326:15 5890 28947 9 65273 EPSG:4326:16 11781 57895 19 130546 EPSG:4326:17 23562 115791 38 261093 EPSG:4326:18 47125 231583 76 522186 EPSG:4326:19 94251 463167 153 1044373 EPSG:4326:20 188502 926334 307 2088747 EPSG:4326:21 377004 1852668 615 4177495 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 3 0 3 EPSG:900913:3 2 6 0 7 EPSG:900913:4 4 12 0 15 EPSG:900913:5 9 24 0 31 EPSG:900913:6 19 49 0 63 EPSG:900913:7 38 98 0 127 EPSG:900913:8 77 196 0 254 EPSG:900913:9 155 393 0 509 EPSG:900913:10 310 786 0 1019 EPSG:900913:11 620 1573 0 2039 EPSG:900913:12 1241 3147 0 4079 EPSG:900913:13 2482 6294 1 8159 EPSG:900913:14 4965 12589 2 16318 EPSG:900913:15 9930 25178 4 32636 EPSG:900913:16 19861 50357 9 65273 EPSG:900913:17 39722 100714 19 130546 EPSG:900913:18 79445 201428 38 261093 EPSG:900913:19 158890 402857 76 522186 EPSG:900913:20 317781 805714 153 1044373 EPSG:900913:21 635562 1611429 307 2088747 EPSG:900913:22 1271125 3222858 615 4177495 EPSG:900913:23 2542251 6445717 1230 8354991 EPSG:900913:24 5084502 12891435 2460 16709982 EPSG:900913:25 10169004 25782871 4920 33419964 EPSG:900913:26 20338009 51565743 9840 66839928 EPSG:900913:27 40676019 103131486 19680 133679856 EPSG:900913:28 81352038 206262973 39360 267359713 EPSG:900913:29 162704076 412525947 78721 534719426 EPSG:900913:30 325408152 825051895 157443 1069438853 WSM_2018_Imagery_Sentinel2 This resource contains satellite imagery for the Independent State of Samoa. The imagery was collected on March 11, 2018, August 8, 2018, October 12, 2019, and June 18, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200618T214911_N0214_R043_T02LMK_20200618T234243 S2A_MSIL1C_20180311T214901_N0206_R043_T02LLK_20180311T231354 S2A_MSIL1C_20180311T214901_N0206_R043_T02LLL_20180311T231354 S2A_MSIL2A_20191012T214911_N0213_R043_T02LMK_20191012T232855 S2A_MSIL1C_20180808T214901_N0206_R043_T02LLK_20180809T005556 S2A_MSIL1C_20180808T214901_N0206_R043_T02LLL_20180809T005556 -172.86358446738822 -14.138220484819813 -171.33708116963206 -13.347321491590696 wsm:WSM_2018_Imagery_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 18 18 1 1 EPSG:4326:6 36 37 2 3 EPSG:4326:7 73 74 5 6 EPSG:4326:8 146 148 10 12 EPSG:4326:9 293 296 20 24 EPSG:4326:10 587 592 40 49 EPSG:4326:11 1175 1184 81 98 EPSG:4326:12 2351 2369 162 197 EPSG:4326:13 4703 4739 324 394 EPSG:4326:14 9406 9478 649 788 EPSG:4326:15 18813 18957 1299 1577 EPSG:4326:16 37627 37915 2598 3154 EPSG:4326:17 75255 75831 5196 6308 EPSG:4326:18 150510 151662 10393 12616 EPSG:4326:19 301020 303324 20786 25232 EPSG:4326:20 602041 606649 41572 50465 EPSG:4326:21 1204083 1213298 83145 100930 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 34 34 1 1 EPSG:900913:7 68 69 2 3 EPSG:900913:8 137 138 5 6 EPSG:900913:9 275 276 10 12 EPSG:900913:10 550 552 20 24 EPSG:900913:11 1100 1105 40 49 EPSG:900913:12 2201 2210 81 98 EPSG:900913:13 4402 4421 162 197 EPSG:900913:14 8805 8842 324 394 EPSG:900913:15 17610 17684 649 788 EPSG:900913:16 35220 35368 1299 1577 EPSG:900913:17 70440 70736 2598 3154 EPSG:900913:18 140880 141473 5196 6308 EPSG:900913:19 281760 282946 10393 12616 EPSG:900913:20 563521 565892 20786 25232 EPSG:900913:21 1127042 1131785 41572 50465 EPSG:900913:22 2254085 2263571 83145 100930 EPSG:900913:23 4508170 4527143 166290 201860 EPSG:900913:24 9016341 9054287 332581 403721 EPSG:900913:25 18032683 18108574 665162 807442 EPSG:900913:26 36065367 36217148 1330324 1614885 EPSG:900913:27 72130734 72434296 2660648 3229770 EPSG:900913:28 144261469 144868592 5321297 6459540 EPSG:900913:29 288522939 289737185 10642594 12919080 EPSG:900913:30 577045879 579474371 21285188 25838161 MHL_2019_ImageryNamorik_Sentinel2 This resource contains satellite imagery for Namorik Atoll in the Marshall Islands. The imagery was collected on December 21, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20191221T232201_N0208_R044_T58NHM_20191222T004652 167.7064935029994 5.328635058317998 168.70242171938878 6.325963636514705 mhl:MHL_2019_ImageryNamorik_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 15 61 61 EPSG:4326:6 29 30 123 123 EPSG:4326:7 59 60 247 247 EPSG:4326:8 119 120 494 495 EPSG:4326:9 238 240 989 991 EPSG:4326:10 476 481 1978 1983 EPSG:4326:11 952 963 3956 3967 EPSG:4326:12 1904 1926 7912 7934 EPSG:4326:13 3808 3853 15824 15869 EPSG:4326:14 7616 7706 31649 31739 EPSG:4326:15 15232 15413 63298 63479 EPSG:4326:16 30464 30827 126596 126958 EPSG:4326:17 60929 61655 253192 253917 EPSG:4326:18 121859 123311 506384 507834 EPSG:4326:19 243718 246623 1012768 1015669 EPSG:4326:20 487436 493246 2025537 2031338 EPSG:4326:21 974873 986492 4051074 4062677 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 31 61 61 EPSG:900913:7 61 62 123 123 EPSG:900913:8 123 124 247 247 EPSG:900913:9 246 248 494 495 EPSG:900913:10 493 496 989 991 EPSG:900913:11 987 993 1978 1983 EPSG:900913:12 1975 1987 3956 3967 EPSG:900913:13 3951 3974 7912 7934 EPSG:900913:14 7903 7949 15824 15869 EPSG:900913:15 15807 15898 31649 31739 EPSG:900913:16 31614 31796 63298 63479 EPSG:900913:17 63228 63593 126596 126958 EPSG:900913:18 126456 127186 253192 253917 EPSG:900913:19 252912 254372 506384 507834 EPSG:900913:20 505824 508744 1012768 1015669 EPSG:900913:21 1011649 1017489 2025537 2031338 EPSG:900913:22 2023298 2034979 4051074 4062677 EPSG:900913:23 4046597 4069958 8102148 8125355 EPSG:900913:24 8093195 8139916 16204297 16250710 EPSG:900913:25 16186391 16279833 32408594 32501421 EPSG:900913:26 32372783 32559667 64817188 65002842 EPSG:900913:27 64745567 65119334 129634376 130005685 EPSG:900913:28 129491134 130238669 259268753 260011371 EPSG:900913:29 258982269 260477338 518537506 520022742 EPSG:900913:30 517964539 520954677 1037075012 1040045484 Global_2016_MangroveDistribution_GMWv2 The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA). The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for 2016 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards. Citations: Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi: 10.3390/rs1010669. Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change -175.33955555555622 -38.85666666666581 179.97955555555458 33.799333333333536 global:Global_2016_MangroveDistribution_GMWv2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 2 5 0 15 EPSG:4326:4 4 11 0 31 EPSG:4326:5 9 22 0 63 EPSG:4326:6 19 45 1 127 EPSG:4326:7 39 91 3 255 EPSG:4326:8 79 183 6 511 EPSG:4326:9 159 366 13 1023 EPSG:4326:10 319 733 26 2047 EPSG:4326:11 639 1466 53 4095 EPSG:4326:12 1278 2932 106 8191 EPSG:4326:13 2557 5864 212 16383 EPSG:4326:14 5115 11728 424 32766 EPSG:4326:15 10231 23457 848 65532 EPSG:4326:16 20462 46915 1696 131064 EPSG:4326:17 40924 93830 3393 262129 EPSG:4326:18 81848 187661 6787 524258 EPSG:4326:19 163696 375322 13574 1048516 EPSG:4326:20 327392 750644 27149 2097032 EPSG:4326:21 654785 1501288 54298 4194065 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 6 9 0 15 EPSG:900913:5 12 19 0 31 EPSG:900913:6 25 39 0 63 EPSG:900913:7 51 79 1 127 EPSG:900913:8 102 158 3 255 EPSG:900913:9 204 316 6 511 EPSG:900913:10 409 632 13 1023 EPSG:900913:11 819 1264 26 2047 EPSG:900913:12 1638 2528 53 4095 EPSG:900913:13 3277 5056 106 8191 EPSG:900913:14 6555 10113 212 16383 EPSG:900913:15 13111 20227 424 32766 EPSG:900913:16 26223 40455 848 65532 EPSG:900913:17 52447 80911 1696 131064 EPSG:900913:18 104894 161823 3393 262129 EPSG:900913:19 209788 323647 6787 524258 EPSG:900913:20 419577 647295 13574 1048516 EPSG:900913:21 839154 1294590 27149 2097032 EPSG:900913:22 1678309 2589181 54298 4194065 EPSG:900913:23 3356618 5178363 108596 8388131 EPSG:900913:24 6713236 10356726 217192 16776263 EPSG:900913:25 13426472 20713453 434384 33552526 EPSG:900913:26 26852944 41426907 868769 67105052 EPSG:900913:27 53705888 82853814 1737539 134210105 EPSG:900913:28 107411777 165707629 3475079 268420211 EPSG:900913:29 214823554 331415258 6950158 536840423 EPSG:900913:30 429647108 662830516 13900316 1073680846 PLW_2005_Hillshade10m_USGS A 10-meter hillshade for the islands of Palau from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. 134.09684827229006 6.874718731620753 134.64972131020784 7.754260012341062 plw:PLW_2005_Hillshade10m_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 6 6 EPSG:4326:3 3 3 13 13 EPSG:4326:4 7 7 27 27 EPSG:4326:5 14 14 55 55 EPSG:4326:6 29 29 111 111 EPSG:4326:7 58 59 223 223 EPSG:4326:8 116 118 446 447 EPSG:4326:9 233 236 893 895 EPSG:4326:10 467 472 1786 1790 EPSG:4326:11 935 945 3573 3580 EPSG:4326:12 1871 1891 7147 7160 EPSG:4326:13 3743 3783 14294 14320 EPSG:4326:14 7486 7566 28589 28640 EPSG:4326:15 14972 15132 57179 57280 EPSG:4326:16 29944 30264 114359 114560 EPSG:4326:17 59889 60529 228718 229120 EPSG:4326:18 119779 121059 457436 458241 EPSG:4326:19 239558 242119 914873 916483 EPSG:4326:20 479116 484239 1829746 1832967 EPSG:4326:21 958232 968479 3659493 3665934 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 6 6 EPSG:900913:4 7 7 13 13 EPSG:900913:5 15 15 27 27 EPSG:900913:6 30 30 55 55 EPSG:900913:7 61 61 111 111 EPSG:900913:8 122 123 223 223 EPSG:900913:9 244 246 446 447 EPSG:900913:10 489 492 893 895 EPSG:900913:11 979 984 1786 1790 EPSG:900913:12 1959 1969 3573 3580 EPSG:900913:13 3919 3939 7147 7160 EPSG:900913:14 7838 7878 14294 14320 EPSG:900913:15 15676 15756 28589 28640 EPSG:900913:16 31352 31513 57179 57280 EPSG:900913:17 62704 63026 114359 114560 EPSG:900913:18 125408 126053 228718 229120 EPSG:900913:19 250816 252107 457436 458241 EPSG:900913:20 501632 504215 914873 916483 EPSG:900913:21 1003265 1008431 1829746 1832967 EPSG:900913:22 2006531 2016862 3659493 3665934 EPSG:900913:23 4013062 4033725 7318987 7331869 EPSG:900913:24 8026125 8067451 14637974 14663739 EPSG:900913:25 16052250 16134902 29275948 29327479 EPSG:900913:26 32104500 32269805 58551896 58654959 EPSG:900913:27 64209000 64539610 117103792 117309918 EPSG:900913:28 128418000 129079221 234207585 234619837 EPSG:900913:29 256836001 258158443 468415170 469239674 EPSG:900913:30 513672002 516316886 936830341 938479349 VUT_2020_ImagerySanma_Sentinel2 This resource contains satellite imagery for the Sanma Province in Vanuatu. The imagery was collected on February 13, March 8, and August 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200213T230901_N0209_R101_T58LGH_20200214T002904 S2A_MSIL2A_20200213T230901_N0214_R101_T58LGJ_20200214T010704 S2A_MSIL1C_20200213T230901_N0209_R101_T58LFH_20200214T002904 S2A_MSIL1C_20200213T230901_N0209_R101_T58LGH_20200214T002904 S2B_MSIL1C_20200508T230909_N0209_R101_T58LFJ_20200509T002230 S2A_MSIL2A_20200811T230911_N0214_R101_T58LGH_20200812T010713 166.38854501281452 -15.909645654551028 167.53434419901643 -14.488505987483917 vut:VUT_2020_ImagerySanma_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 30 30 EPSG:4326:5 18 18 61 61 EPSG:4326:6 37 37 123 123 EPSG:4326:7 74 75 246 247 EPSG:4326:8 148 150 492 494 EPSG:4326:9 297 301 985 988 EPSG:4326:10 594 602 1970 1977 EPSG:4326:11 1188 1205 3941 3954 EPSG:4326:12 2377 2410 7882 7908 EPSG:4326:13 4755 4820 15764 15816 EPSG:4326:14 9510 9640 31529 31633 EPSG:4326:15 19021 19280 63058 63266 EPSG:4326:16 38043 38560 126116 126533 EPSG:4326:17 76086 77121 252232 253066 EPSG:4326:18 152172 154242 504464 506133 EPSG:4326:19 304344 308484 1008929 1012267 EPSG:4326:20 608689 616968 2017859 2024534 EPSG:4326:21 1217379 1233936 4035719 4049068 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 30 EPSG:900913:6 34 34 61 61 EPSG:900913:7 69 69 123 123 EPSG:900913:8 138 139 246 247 EPSG:900913:9 276 278 492 494 EPSG:900913:10 553 557 985 988 EPSG:900913:11 1107 1115 1970 1977 EPSG:900913:12 2214 2231 3941 3954 EPSG:900913:13 4429 4462 7882 7908 EPSG:900913:14 8858 8925 15764 15816 EPSG:900913:15 17717 17851 31529 31633 EPSG:900913:16 35434 35702 63058 63266 EPSG:900913:17 70868 71404 126116 126533 EPSG:900913:18 141736 142808 252232 253066 EPSG:900913:19 283472 285617 504464 506133 EPSG:900913:20 566945 571235 1008929 1012267 EPSG:900913:21 1133891 1142470 2017859 2024534 EPSG:900913:22 2267783 2284941 4035719 4049068 EPSG:900913:23 4535567 4569883 8071438 8098137 EPSG:900913:24 9071134 9139767 16142876 16196274 EPSG:900913:25 18142269 18279534 32285752 32392548 EPSG:900913:26 36284538 36559068 64571504 64785097 EPSG:900913:27 72569076 73118136 129143009 129570194 EPSG:900913:28 145138152 146236273 258286019 259140389 EPSG:900913:29 290276305 292472547 516572039 518280778 EPSG:900913:30 580552610 584945095 1033144078 1036561557 MHL_2020_ImageryAilukJemo_Sentinel2 This resource contains satellite imagery for Ailuk Atoll and Jemo Island in the Marshall Islands. The imagery was collected on February 6, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200206T231221_N0209_R001_T59PLM_20200207T003700 169.17044276734228 9.857478810046604 170.17734657695306 10.85437483653782 mhl:MHL_2020_ImageryAilukJemo_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 31 31 EPSG:4326:5 14 14 62 62 EPSG:4326:6 28 28 124 124 EPSG:4326:7 56 56 248 249 EPSG:4326:8 112 113 496 498 EPSG:4326:9 225 227 993 996 EPSG:4326:10 450 455 1986 1992 EPSG:4326:11 900 911 3972 3984 EPSG:4326:12 1801 1823 7945 7968 EPSG:4326:13 3602 3647 15891 15936 EPSG:4326:14 7204 7294 31782 31873 EPSG:4326:15 14408 14589 63564 63747 EPSG:4326:16 28816 29179 127129 127495 EPSG:4326:17 57632 58358 254258 254991 EPSG:4326:18 115264 116716 508516 509982 EPSG:4326:19 230528 233432 1017032 1019965 EPSG:4326:20 461056 466864 2034065 2039930 EPSG:4326:21 922113 933728 4068130 4079861 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 31 31 EPSG:900913:6 30 30 62 62 EPSG:900913:7 60 60 124 124 EPSG:900913:8 120 120 248 249 EPSG:900913:9 240 241 496 498 EPSG:900913:10 480 483 993 996 EPSG:900913:11 961 967 1986 1992 EPSG:900913:12 1923 1935 3972 3984 EPSG:900913:13 3847 3870 7945 7968 EPSG:900913:14 7695 7741 15891 15936 EPSG:900913:15 15390 15482 31782 31873 EPSG:900913:16 30780 30964 63564 63747 EPSG:900913:17 61560 61929 127129 127495 EPSG:900913:18 123120 123858 254258 254991 EPSG:900913:19 246240 247716 508516 509982 EPSG:900913:20 492481 495433 1017032 1019965 EPSG:900913:21 984963 990866 2034065 2039930 EPSG:900913:22 1969926 1981733 4068130 4079861 EPSG:900913:23 3939852 3963466 8136261 8159723 EPSG:900913:24 7879704 7926932 16272522 16319447 EPSG:900913:25 15759408 15853865 32545044 32638894 EPSG:900913:26 31518817 31707731 65090088 65277788 EPSG:900913:27 63037634 63415463 130180176 130555577 EPSG:900913:28 126075268 126830927 260360352 261111154 EPSG:900913:29 252150536 253661855 520720705 522222309 EPSG:900913:30 504301073 507323710 1041441411 1044444619 MHL_2020_ImageryUjelang_Sentinel2 This resource contains satellite imagery for Ujelang Atoll in the Marshall Islands. The imagery was collected on March 19, April 8, and July 27, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200319T235301_N0209_R030_T57PYL_20200320T012003 S2A_MSIL1C_20200408T235301_N0209_R030_T57PYL_20200409T031320 S2A_MSIL1C_20200727T235311_N0209_R030_T57PXL_20200728T012445 159.90965894295894 8.947564560808189 161.82478785230117 9.950163774005182 mhl:MHL_2020_ImageryUjelang_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 60 60 EPSG:4326:6 28 28 120 121 EPSG:4326:7 56 57 241 243 EPSG:4326:8 113 115 483 486 EPSG:4326:9 227 230 966 972 EPSG:4326:10 455 461 1933 1944 EPSG:4326:11 910 922 3867 3889 EPSG:4326:12 1821 1844 7734 7778 EPSG:4326:13 3643 3688 15469 15556 EPSG:4326:14 7286 7377 30939 31113 EPSG:4326:15 14572 14755 61878 62227 EPSG:4326:16 29145 29510 123757 124454 EPSG:4326:17 58290 59020 247514 248909 EPSG:4326:18 116581 118041 495029 497818 EPSG:4326:19 233162 236082 990058 995636 EPSG:4326:20 466324 472164 1980117 1991273 EPSG:4326:21 932648 944329 3960234 3982547 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 60 60 EPSG:900913:7 60 60 120 121 EPSG:900913:8 120 121 241 243 EPSG:900913:9 241 243 483 486 EPSG:900913:10 483 486 966 972 EPSG:900913:11 967 972 1933 1944 EPSG:900913:12 1934 1945 3867 3889 EPSG:900913:13 3868 3891 7734 7778 EPSG:900913:14 7736 7783 15469 15556 EPSG:900913:15 15473 15566 30939 31113 EPSG:900913:16 30947 31132 61878 62227 EPSG:900913:17 61894 62264 123757 124454 EPSG:900913:18 123789 124529 247514 248909 EPSG:900913:19 247579 249059 495029 497818 EPSG:900913:20 495159 498119 990058 995636 EPSG:900913:21 990318 996239 1980117 1991273 EPSG:900913:22 1980637 1992478 3960234 3982547 EPSG:900913:23 3961274 3984957 7920469 7965094 EPSG:900913:24 7922548 7969915 15840938 15930189 EPSG:900913:25 15845096 15939831 31681876 31860379 EPSG:900913:26 31690192 31879663 63363752 63720758 EPSG:900913:27 63380385 63759327 126727505 127441517 EPSG:900913:28 126760771 127518655 253455011 254883035 EPSG:900913:29 253521542 255037311 506910023 509766071 EPSG:900913:30 507043084 510074623 1013820047 1019532142 MHL_2020_ImageryEnewetok_Sentinel2 This resource contains satellite imagery for Enewetak Atoll in the Marshall Islands. The imagery was collected on September 28, 2019 and June 27, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20190928T234301_N0208_R130_T57PZN_20191004T123848 S2A_MSIL1C_20200627T235311_N0209_R030_T57PZN_20200628T012024 161.74274376857926 10.744423290479943 162.75819556175637 11.746771696052052 mhl:MHL_2020_ImageryEnewetok_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 30 30 EPSG:4326:5 13 14 60 60 EPSG:4326:6 27 28 121 121 EPSG:4326:7 55 56 243 243 EPSG:4326:8 111 112 486 487 EPSG:4326:9 222 225 972 974 EPSG:4326:10 445 450 1944 1949 EPSG:4326:11 890 901 3888 3899 EPSG:4326:12 1780 1803 7776 7799 EPSG:4326:13 3561 3607 15553 15599 EPSG:4326:14 7122 7214 31106 31198 EPSG:4326:15 14245 14428 62212 62397 EPSG:4326:16 28491 28856 124424 124794 EPSG:4326:17 56982 57712 248849 249588 EPSG:4326:18 113964 115424 497698 499177 EPSG:4326:19 227929 230848 995397 998355 EPSG:4326:20 455858 461697 1990795 1996711 EPSG:4326:21 911716 923394 3981591 3993422 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 30 30 EPSG:900913:6 29 30 60 60 EPSG:900913:7 59 60 121 121 EPSG:900913:8 119 120 243 243 EPSG:900913:9 239 240 486 487 EPSG:900913:10 478 481 972 974 EPSG:900913:11 956 962 1944 1949 EPSG:900913:12 1913 1925 3888 3899 EPSG:900913:13 3826 3850 7776 7799 EPSG:900913:14 7653 7700 15553 15599 EPSG:900913:15 15307 15400 31106 31198 EPSG:900913:16 30614 30800 62212 62397 EPSG:900913:17 61228 61600 124424 124794 EPSG:900913:18 122457 123201 248849 249588 EPSG:900913:19 244915 246403 497698 499177 EPSG:900913:20 489830 492807 995397 998355 EPSG:900913:21 979661 985615 1990795 1996711 EPSG:900913:22 1959323 1971230 3981591 3993422 EPSG:900913:23 3918646 3942460 7963183 7986844 EPSG:900913:24 7837292 7884920 15926366 15973689 EPSG:900913:25 15674585 15769841 31852732 31947379 EPSG:900913:26 31349171 31539683 63705464 63894758 EPSG:900913:27 62698342 63079366 127410929 127789517 EPSG:900913:28 125396685 126158732 254821859 255579034 EPSG:900913:29 250793371 252317464 509643718 511158069 EPSG:900913:30 501586743 504634929 1019287436 1022316139 VUT_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 165.999861111111 -21.000138888888827 171.00013888888876 -12.9998611111111 vut:VUT_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 30 31 EPSG:4326:5 18 19 61 62 EPSG:4326:6 36 39 123 124 EPSG:4326:7 73 78 246 249 EPSG:4326:8 146 157 492 499 EPSG:4326:9 292 315 984 998 EPSG:4326:10 585 631 1968 1996 EPSG:4326:11 1171 1262 3936 3993 EPSG:4326:12 2343 2525 7873 7987 EPSG:4326:13 4687 5051 15746 15974 EPSG:4326:14 9375 10103 31493 31948 EPSG:4326:15 18750 20206 62987 63897 EPSG:4326:16 37501 40413 125974 127795 EPSG:4326:17 75002 80827 251949 255590 EPSG:4326:18 150004 161655 503898 511181 EPSG:4326:19 300008 323311 1007797 1022362 EPSG:4326:20 600017 646622 2015595 2044724 EPSG:4326:21 1200035 1293245 4031190 4089448 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 31 EPSG:900913:6 34 35 61 62 EPSG:900913:7 68 71 123 124 EPSG:900913:8 137 143 246 249 EPSG:900913:9 274 286 492 499 EPSG:900913:10 549 573 984 998 EPSG:900913:11 1098 1146 1968 1996 EPSG:900913:12 2197 2292 3936 3993 EPSG:900913:13 4394 4584 7873 7987 EPSG:900913:14 8788 9169 15746 15974 EPSG:900913:15 17577 18339 31493 31948 EPSG:900913:16 35155 36679 62987 63897 EPSG:900913:17 70310 73359 125974 127795 EPSG:900913:18 140620 146718 251949 255590 EPSG:900913:19 281240 293436 503898 511181 EPSG:900913:20 562481 586872 1007797 1022362 EPSG:900913:21 1124963 1173745 2015595 2044724 EPSG:900913:22 2249927 2347490 4031190 4089448 EPSG:900913:23 4499855 4694981 8062381 8178896 EPSG:900913:24 8999711 9389963 16124762 16357792 EPSG:900913:25 17999422 18779927 32249524 32715584 EPSG:900913:26 35998845 37559854 64499048 65431168 EPSG:900913:27 71997690 75119708 128998097 130862336 EPSG:900913:28 143995381 150239417 257996195 261724673 EPSG:900913:29 287990763 300478834 515992391 523449346 EPSG:900913:30 575981527 600957669 1031984783 1046898692 NIU_2018_Imagery_Sentinel2 This resource contains satellite imagery for Niue. The imagery was collected on August 10, 2018. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20180810T213919_N0206_R143_T02KPD_20180810T224659 S2B_MSIL1C_20180810T213919_N0206_R143_T02KPE_20180810T224659 -170.07633215936934 -19.208584105700215 -169.63300112485547 -18.893480795490486 niu:NIU_2018_Imagery_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 19 19 1 1 EPSG:4326:6 38 38 3 3 EPSG:4326:7 77 77 7 7 EPSG:4326:8 154 155 14 14 EPSG:4326:9 309 310 28 29 EPSG:4326:10 619 621 56 58 EPSG:4326:11 1238 1242 112 117 EPSG:4326:12 2477 2485 225 235 EPSG:4326:13 4955 4970 451 471 EPSG:4326:14 9911 9940 903 943 EPSG:4326:15 19823 19880 1806 1887 EPSG:4326:16 39646 39761 3613 3774 EPSG:4326:17 79293 79523 7226 7549 EPSG:4326:18 158587 159046 14452 15098 EPSG:4326:19 317175 318093 28904 30196 EPSG:4326:20 634350 636186 57809 60392 EPSG:4326:21 1268701 1272372 115619 120784 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 35 35 1 1 EPSG:900913:7 70 70 3 3 EPSG:900913:8 141 141 7 7 EPSG:900913:9 283 283 14 14 EPSG:900913:10 566 567 28 29 EPSG:900913:11 1133 1135 56 58 EPSG:900913:12 2266 2270 112 117 EPSG:900913:13 4533 4541 225 235 EPSG:900913:14 9067 9083 451 471 EPSG:900913:15 18135 18166 903 943 EPSG:900913:16 36271 36332 1806 1887 EPSG:900913:17 72543 72664 3613 3774 EPSG:900913:18 145086 145328 7226 7549 EPSG:900913:19 290172 290657 14452 15098 EPSG:900913:20 580344 581315 28904 30196 EPSG:900913:21 1160689 1162631 57809 60392 EPSG:900913:22 2321378 2325262 115619 120784 EPSG:900913:23 4642756 4650524 231238 241568 EPSG:900913:24 9285513 9301049 462476 483137 EPSG:900913:25 18571026 18602098 924952 966274 EPSG:900913:26 37142052 37204196 1849905 1932548 EPSG:900913:27 74284105 74408392 3699811 3865097 EPSG:900913:28 148568211 148816784 7399623 7730194 EPSG:900913:29 297136422 297633568 14799246 15460389 EPSG:900913:30 594272844 595267137 29598492 30920778 Global_2000-2014_SurfaceChlorophyllMean_BioOracle2 Raster data representing the mean levels of chlorophyll in mg/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceChlorophyllMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 COK_2020_ImagerySouthernIslands_Sentinel2 This resource contains satellite imagery for the Southern Islands Group in the Cook Islands. The imagery was collected on May 11, May 14, May 16, May 26, and June 30, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200511T205041_N0214_R071_T04KFC_20200512T001943 S2A_MSIL2A_20200630T205041_N0214_R071_T04KFD_20200701T003301 S2A_MSIL2A_20200514T210041_N0214_R114_T04KDE_20200515T004012 S2A_MSIL2A_20200511T205041_N0214_R071_T04KED_20200512T001943 S2A_MSIL2A_20200511T205041_N0214_R071_T04KEC_20200512T001943 S2B_MSIL2A_20200526T205039_N0214_R071_T04KDB_20200526T222952 S2B_MSIL2A_20200516T205039_N0214_R071_T04KFA_20200516T223810 S2A_MSIL2A_20200630T205041_N0214_R071_T04KEC_20200701T003301 -160.509833216 -21.945525092 -156.565817931 -18.689360494 cok:COK_2020_ImagerySouthernIslands_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 1 EPSG:4326:4 9 9 1 2 EPSG:4326:5 19 19 3 4 EPSG:4326:6 38 39 6 8 EPSG:4326:7 77 79 13 16 EPSG:4326:8 154 159 27 33 EPSG:4326:9 309 318 55 66 EPSG:4326:10 618 636 110 133 EPSG:4326:11 1236 1273 221 266 EPSG:4326:12 2473 2547 443 533 EPSG:4326:13 4946 5094 887 1066 EPSG:4326:14 9893 10189 1774 2133 EPSG:4326:15 19786 20379 3548 4266 EPSG:4326:16 39572 40758 7096 8532 EPSG:4326:17 79145 81516 14192 17064 EPSG:4326:18 158290 163032 28384 34128 EPSG:4326:19 316580 326064 56769 68257 EPSG:4326:20 633161 652129 113538 136514 EPSG:4326:21 1266322 1304259 227076 273028 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 9 0 1 EPSG:900913:5 17 18 1 2 EPSG:900913:6 35 36 3 4 EPSG:900913:7 70 72 6 8 EPSG:900913:8 141 144 13 16 EPSG:900913:9 283 288 27 33 EPSG:900913:10 566 576 55 66 EPSG:900913:11 1132 1152 110 133 EPSG:900913:12 2264 2304 221 266 EPSG:900913:13 4529 4608 443 533 EPSG:900913:14 9058 9216 887 1066 EPSG:900913:15 18116 18432 1774 2133 EPSG:900913:16 36232 36864 3548 4266 EPSG:900913:17 72464 73728 7096 8532 EPSG:900913:18 144929 147457 14192 17064 EPSG:900913:19 289858 294915 28384 34128 EPSG:900913:20 579716 589831 56769 68257 EPSG:900913:21 1159433 1179663 113538 136514 EPSG:900913:22 2318866 2359327 227076 273028 EPSG:900913:23 4637732 4718654 454153 546056 EPSG:900913:24 9275464 9437308 908307 1092112 EPSG:900913:25 18550929 18874617 1816615 2184224 EPSG:900913:26 37101859 37749234 3633230 4368448 EPSG:900913:27 74203719 75498468 7266460 8736896 EPSG:900913:28 148407438 150996937 14532921 17473792 EPSG:900913:29 296814876 301993874 29065843 34947585 EPSG:900913:30 593629753 603987749 58131686 69895170 Pacific_2018_ReefBioregions_MACBIO Bioregions, of course, are just one of the important data layers in indentifying an ecologically representative system of marine protected areas. To be truly ecologically representative and comprehensive, one must also consider all available information about habitats, species and ecological processes. In addition, socio-economic and cultural considerations are vital in the spatial planning process. This report is focussed upon one important, but only one, input to marine spatial planning: the development of marine bioregions. To take account of differing types and resolution of data, two separate bioregionalisations were developed; firstly, for the deepwater environments and secondly for reef-associated environments. For the deepwater, thirty, mainly physical, environmental variables were assessed to be adequately comprehensive and reliable to be included in the analysis. These data were allocated to over 140 000 grid cells of 20x20 km across the Southwest Pacific. K-means and then hierarchical cluster analyses were then conducted to identify groups of analytical units that contained similar environmental conditions. The number of clusters was determined by examining the dendrogram and setting a similarity value that aligned with a natural break in similarity. For the second bioregionalisation, reef-associated datasets of more than 200 fish, coral and other invertebrate species were collated from multiple data providers who sampled over 6500 sites. We combined these datasets, which were quality-checked for taxonomic consistency and normalised, resulting in more than 800 species that could be used in further analysis. All these species data and seven independent environmental datasets were then allocated to over 45,000 grid cells of 9x9 km across the SW Pacific. Next, the probability of observing these species was predicted, using the environmental variables, for grid cells within the unsurveyed reef-associated habitats. Hierarchical cluster analysis was then applied to the reef-associated datasets to deliver clusters of grid cells with high similarity. The final analytical steps, applied to all the outputs, were to refine the resulting clusters using manual spatial processing and to describe each cluster to deliver the draft bioregions. This work resulted in 262 draft deepwater marine bioregions and 102 draft reef-associated bioregions across the SW Pacific. Please cite this dataset as: Wendt H., Beger M., Sullivan J., LeGrand J., Davey K., Yakub N., Fernandes L. 2018. Draft marine bioregions of the Southwest Pacific.” GIZ, IUCN, SPREP: Suva. -180.0 -59.99999999999866 180.0 66.66999999999982 pacific:Pacific_2018_ReefBioregions_MACBIO image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 1 6 0 15 EPSG:4326:4 2 13 0 31 EPSG:4326:5 4 26 0 63 EPSG:4326:6 8 53 0 127 EPSG:4326:7 16 106 0 255 EPSG:4326:8 33 213 0 511 EPSG:4326:9 66 426 0 1023 EPSG:4326:10 132 853 0 2047 EPSG:4326:11 265 1706 0 4095 EPSG:4326:12 530 3413 0 8191 EPSG:4326:13 1061 6826 0 16383 EPSG:4326:14 2123 13653 0 32767 EPSG:4326:15 4247 27306 0 65535 EPSG:4326:16 8494 54613 0 131071 EPSG:4326:17 16988 109226 0 262143 EPSG:4326:18 33976 218453 0 524287 EPSG:4326:19 67953 436906 0 1048575 EPSG:4326:20 135907 873813 0 2097151 EPSG:4326:21 271814 1747626 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 2 0 3 EPSG:900913:3 1 5 0 7 EPSG:900913:4 3 11 1 15 EPSG:900913:5 7 22 3 30 EPSG:900913:6 15 45 6 61 EPSG:900913:7 31 90 12 122 EPSG:900913:8 63 181 25 244 EPSG:900913:9 127 363 51 488 EPSG:900913:10 254 726 102 976 EPSG:900913:11 509 1453 205 1952 EPSG:900913:12 1019 2906 411 3904 EPSG:900913:13 2039 5813 823 7808 EPSG:900913:14 4078 11626 1646 15616 EPSG:900913:15 8156 23252 3293 31232 EPSG:900913:16 16312 46504 6586 62464 EPSG:900913:17 32624 93008 13173 124928 EPSG:900913:18 65248 186017 26346 249857 EPSG:900913:19 130497 372034 52692 499714 EPSG:900913:20 260994 744069 105385 999428 EPSG:900913:21 521989 1488139 210771 1998857 EPSG:900913:22 1043979 2976279 421542 3997715 EPSG:900913:23 2087958 5952559 843084 7995430 EPSG:900913:24 4175917 11905118 1686168 15990861 EPSG:900913:25 8351835 23810236 3372336 31981723 EPSG:900913:26 16703670 47620473 6744673 63963446 EPSG:900913:27 33407340 95240947 13489347 127926893 EPSG:900913:28 66814680 190481895 26978695 255853786 EPSG:900913:29 133629360 380963791 53957390 511707573 EPSG:900913:30 267258720 761927583 107914781 1023415147 KIR_2019_Hillshade30mLineIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -163.00013888888896 -11.000138888888761 -149.9998611111113 6.000138888888854 kir:KIR_2019_Hillshade30mLineIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 0 1 0 0 EPSG:4326:2 1 2 0 0 EPSG:4326:3 3 4 0 1 EPSG:4326:4 7 8 1 2 EPSG:4326:5 14 17 3 5 EPSG:4326:6 29 35 6 10 EPSG:4326:7 59 71 12 21 EPSG:4326:8 119 143 24 42 EPSG:4326:9 238 287 48 85 EPSG:4326:10 477 574 96 170 EPSG:4326:11 955 1149 193 341 EPSG:4326:12 1911 2298 386 682 EPSG:4326:13 3822 4596 773 1365 EPSG:4326:14 7645 9193 1547 2730 EPSG:4326:15 15291 18386 3094 5461 EPSG:4326:16 30583 36773 6189 10922 EPSG:4326:17 61166 73546 12378 21845 EPSG:4326:18 122333 147092 24757 43690 EPSG:4326:19 244667 294184 49515 87381 EPSG:4326:20 489334 588368 99031 174763 EPSG:4326:21 978669 1176736 198062 349526 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 0 EPSG:900913:2 1 2 0 0 EPSG:900913:3 3 4 0 0 EPSG:900913:4 7 8 0 1 EPSG:900913:5 15 16 1 2 EPSG:900913:6 30 33 3 5 EPSG:900913:7 61 67 6 10 EPSG:900913:8 123 135 12 21 EPSG:900913:9 247 271 24 42 EPSG:900913:10 494 543 48 85 EPSG:900913:11 989 1086 96 170 EPSG:900913:12 1979 2173 193 341 EPSG:900913:13 3959 4347 386 682 EPSG:900913:14 7918 8695 773 1365 EPSG:900913:15 15836 17391 1547 2730 EPSG:900913:16 31673 34782 3094 5461 EPSG:900913:17 63347 69565 6189 10922 EPSG:900913:18 126694 139131 12378 21845 EPSG:900913:19 253389 278263 24757 43690 EPSG:900913:20 506779 556526 49515 87381 EPSG:900913:21 1013558 1113053 99031 174763 EPSG:900913:22 2027117 2226107 198062 349526 EPSG:900913:23 4054234 4452215 396125 699053 EPSG:900913:24 8108468 8904430 792250 1398107 EPSG:900913:25 16216937 17808860 1584501 2796215 EPSG:900913:26 32433875 35617721 3169003 5592431 EPSG:900913:27 64867750 71235442 6338007 11184862 EPSG:900913:28 129735500 142470884 12676015 22369724 EPSG:900913:29 259471000 284941768 25352030 44739449 EPSG:900913:30 518942000 569883537 50704060 89478899 SLB_2019_Hillshade1arcsec_ASTERv3 Resource contains raster files for a derived hillshade for the Solomon Islands. The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 154.999861111111 -12.000138888888811 168.00013888888876 -3.9998611111110396 slb:SLB_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 14 15 EPSG:4326:4 8 9 29 30 EPSG:4326:5 16 18 59 61 EPSG:4326:6 33 36 119 123 EPSG:4326:7 66 72 238 247 EPSG:4326:8 133 145 476 494 EPSG:4326:9 267 290 952 989 EPSG:4326:10 534 580 1905 1979 EPSG:4326:11 1069 1160 3811 3959 EPSG:4326:12 2139 2321 7623 7918 EPSG:4326:13 4278 4642 15246 15837 EPSG:4326:14 8556 9284 30492 31675 EPSG:4326:15 17112 18568 60984 63351 EPSG:4326:16 34224 37137 121969 126702 EPSG:4326:17 68448 74274 243939 253405 EPSG:4326:18 136897 148548 487878 506811 EPSG:4326:19 273794 297096 975757 1013623 EPSG:4326:20 547588 594193 1951515 2027247 EPSG:4326:21 1095177 1188387 3903031 4054495 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 14 15 EPSG:900913:5 16 17 29 30 EPSG:900913:6 32 34 59 61 EPSG:900913:7 65 68 119 123 EPSG:900913:8 130 136 238 247 EPSG:900913:9 261 273 476 494 EPSG:900913:10 523 546 952 989 EPSG:900913:11 1046 1092 1905 1979 EPSG:900913:12 2093 2185 3811 3959 EPSG:900913:13 4187 4371 7623 7918 EPSG:900913:14 8374 8742 15246 15837 EPSG:900913:15 16748 17484 30492 31675 EPSG:900913:16 33496 34968 60984 63351 EPSG:900913:17 66993 69937 121969 126702 EPSG:900913:18 133986 139874 243939 253405 EPSG:900913:19 267973 279749 487878 506811 EPSG:900913:20 535947 559499 975757 1013623 EPSG:900913:21 1071895 1118998 1951515 2027247 EPSG:900913:22 2143791 2237997 3903031 4054495 EPSG:900913:23 4287583 4475994 7806062 8108990 EPSG:900913:24 8575166 8951989 15612125 16217981 EPSG:900913:25 17150333 17903978 31224250 32435963 EPSG:900913:26 34300666 35807956 62448500 64871927 EPSG:900913:27 68601333 71615912 124897000 129743855 EPSG:900913:28 137202666 143231825 249794001 259487711 EPSG:900913:29 274405332 286463650 499588002 518975422 EPSG:900913:30 548810664 572927300 999176005 1037950844 FSM_2019_ImageryPohnpei_Sentinel2 This resource contains satellite imagery for Pohnpei. The imagery was collected on June 12, 2018, February 27, 2019, and September 10, 2019. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. 157.73186596025445 6.591400268203991 158.38420204261527 7.113738930454767 fsm:FSM_2019_ImageryPohnpei_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 60 60 EPSG:4326:6 29 29 120 120 EPSG:4326:7 58 59 240 240 EPSG:4326:8 117 118 480 481 EPSG:4326:9 235 237 960 962 EPSG:4326:10 471 474 1921 1925 EPSG:4326:11 943 949 3842 3850 EPSG:4326:12 1886 1898 7685 7700 EPSG:4326:13 3772 3796 15370 15400 EPSG:4326:14 7544 7592 30741 30800 EPSG:4326:15 15088 15184 61482 61600 EPSG:4326:16 30177 30368 122964 123201 EPSG:4326:17 60355 60736 245928 246403 EPSG:4326:18 120711 121472 491857 492807 EPSG:4326:19 241423 242945 983715 985615 EPSG:4326:20 482847 485890 1967430 1971230 EPSG:4326:21 965694 971780 3934861 3942461 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 60 60 EPSG:900913:7 61 61 120 120 EPSG:900913:8 122 123 240 240 EPSG:900913:9 245 246 480 481 EPSG:900913:10 491 493 960 962 EPSG:900913:11 983 986 1921 1925 EPSG:900913:12 1966 1972 3842 3850 EPSG:900913:13 3933 3945 7685 7700 EPSG:900913:14 7867 7891 15370 15400 EPSG:900913:15 15734 15782 30741 30800 EPSG:900913:16 31469 31565 61482 61600 EPSG:900913:17 62939 63130 122964 123201 EPSG:900913:18 125878 126261 245928 246403 EPSG:900913:19 251757 252523 491857 492807 EPSG:900913:20 503514 505046 983715 985615 EPSG:900913:21 1007028 1010093 1967430 1971230 EPSG:900913:22 2014057 2020186 3934861 3942461 EPSG:900913:23 4028114 4040373 7869722 7884923 EPSG:900913:24 8056228 8080746 15739445 15769846 EPSG:900913:25 16112457 16161493 31478891 31539693 EPSG:900913:26 32224914 32322986 62957782 63079387 EPSG:900913:27 64449829 64645973 125915565 126158774 EPSG:900913:28 128899658 129291946 251831131 252317548 EPSG:900913:29 257799317 258583893 503662263 504635097 EPSG:900913:30 515598635 517167786 1007324527 1009270195 COK_2019_Hillshade1arcsecSouthIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -160.000138888889 -22.00013888888884 -156.99986111111127 -17.999861111111116 cok:COK_2019_Hillshade1arcsecSouthIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 1 EPSG:4326:4 9 9 1 2 EPSG:4326:5 19 19 3 4 EPSG:4326:6 38 39 7 8 EPSG:4326:7 76 79 14 16 EPSG:4326:8 153 159 28 32 EPSG:4326:9 307 318 56 65 EPSG:4326:10 614 637 113 130 EPSG:4326:11 1228 1274 227 261 EPSG:4326:12 2457 2548 455 523 EPSG:4326:13 4915 5097 910 1046 EPSG:4326:14 9830 10194 1820 2093 EPSG:4326:15 19660 20389 3640 4187 EPSG:4326:16 39321 40778 7281 8374 EPSG:4326:17 78643 81556 14563 16748 EPSG:4326:18 157286 163112 29126 33496 EPSG:4326:19 314572 326224 58253 66992 EPSG:4326:20 629144 652448 116507 133985 EPSG:4326:21 1258289 1304896 233015 267971 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 9 0 1 EPSG:900913:5 17 18 1 2 EPSG:900913:6 35 36 3 4 EPSG:900913:7 70 72 7 8 EPSG:900913:8 141 144 14 16 EPSG:900913:9 282 288 28 32 EPSG:900913:10 564 576 56 65 EPSG:900913:11 1128 1152 113 130 EPSG:900913:12 2256 2304 227 261 EPSG:900913:13 4512 4609 455 523 EPSG:900913:14 9025 9218 910 1046 EPSG:900913:15 18050 18437 1820 2093 EPSG:900913:16 36100 36875 3640 4187 EPSG:900913:17 72200 73750 7281 8374 EPSG:900913:18 144400 147500 14563 16748 EPSG:900913:19 288800 295001 29126 33496 EPSG:900913:20 577600 590003 58253 66992 EPSG:900913:21 1155201 1180006 116507 133985 EPSG:900913:22 2310402 2360013 233015 267971 EPSG:900913:23 4620805 4720026 466030 535942 EPSG:900913:24 9241611 9440053 932061 1071884 EPSG:900913:25 18483222 18880106 1864122 2143768 EPSG:900913:26 36966444 37760212 3728244 4287536 EPSG:900913:27 73932889 75520425 7456488 8575073 EPSG:900913:28 147865779 151040850 14912977 17150146 EPSG:900913:29 295731559 302081700 29825954 34300293 EPSG:900913:30 591463119 604163400 59651909 68600586 SLB_2019-2020_ImageryNewGeorgiaIslands_Sentinel2 This resource contains satellite imagery for the New Georgia Islands in the Solomon Islands. The imagery was collected on September 26, 2019, September 12, 2020, September 25, 2020, October 2, 2020, October 10, 2020, and October 20, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. S2B_MSIL2A_20190926T235739_N0213_R030_T57MUM_20190927T015140 S2A_MSIL2A_20200912T234751_N0214_R130_T57LUL_20200913T014018 S2A_MSIL1C_20200925T235751_N0209_R030_T57LUL_20200926T011618 S2A_MSIL2A_20201002T234751_N0214_R130_T57LVL_20201003T014939 S2B_MSIL1C_20201010T235749_N0209_R030_T57MTM_20201011T011117 S2B_MSIL1C_20201010T235749_N0209_R030_T56LRR_20201011T011117 S2B_MSIL1C_20201020T235749_N0209_R030_T57LTL_20201021T013409 156.29522157219486 -9.042073447810965 158.5469685485203 -7.4999909955586626 slb:SLB_2019-2020_ImageryNewGeorgiaIslands_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 14 15 EPSG:4326:4 8 8 29 30 EPSG:4326:5 17 17 59 60 EPSG:4326:6 34 35 119 120 EPSG:4326:7 69 70 239 240 EPSG:4326:8 138 140 478 481 EPSG:4326:9 277 281 956 962 EPSG:4326:10 554 563 1913 1925 EPSG:4326:11 1109 1126 3826 3851 EPSG:4326:12 2218 2253 7652 7703 EPSG:4326:13 4437 4507 15305 15407 EPSG:4326:14 8874 9015 30610 30815 EPSG:4326:15 17749 18030 61220 61630 EPSG:4326:16 35498 36060 122441 123261 EPSG:4326:17 70997 72120 244882 246522 EPSG:4326:18 141994 144240 489765 493044 EPSG:4326:19 283989 288480 979530 986089 EPSG:4326:20 567978 576961 1959061 1972179 EPSG:4326:21 1135957 1153923 3918123 3944358 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 14 15 EPSG:900913:5 16 16 29 30 EPSG:900913:6 33 33 59 60 EPSG:900913:7 66 67 119 120 EPSG:900913:8 133 134 239 240 EPSG:900913:9 266 268 478 481 EPSG:900913:10 533 537 956 962 EPSG:900913:11 1066 1075 1913 1925 EPSG:900913:12 2133 2151 3826 3851 EPSG:900913:13 4267 4302 7652 7703 EPSG:900913:14 8534 8605 15305 15407 EPSG:900913:15 17068 17210 30610 30815 EPSG:900913:16 34137 34420 61220 61630 EPSG:900913:17 68274 68841 122441 123261 EPSG:900913:18 136548 137683 244882 246522 EPSG:900913:19 273097 275367 489765 493044 EPSG:900913:20 546195 550734 979530 986089 EPSG:900913:21 1092391 1101469 1959061 1972179 EPSG:900913:22 2184783 2202939 3918123 3944358 EPSG:900913:23 4369567 4405879 7836246 7888716 EPSG:900913:24 8739135 8811759 15672493 15777432 EPSG:900913:25 17478270 17623518 31344986 31554864 EPSG:900913:26 34956541 35247037 62689973 63109729 EPSG:900913:27 69913083 70494074 125379946 126219458 EPSG:900913:28 139826166 140988148 250759892 252438916 EPSG:900913:29 279652332 281976296 501519784 504877832 EPSG:900913:30 559304664 563952593 1003039568 1009755665 Global_2013_SpreadingRidges_BlueHabitats Global distribution of spreading ridge seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -178.98549524070526 -68.02354460589049 178.13836748055974 87.88849534687586 global:Global_2013_SpreadingRidges_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 28 0 63 EPSG:4326:6 0 56 0 127 EPSG:4326:7 1 112 0 254 EPSG:4326:8 3 224 1 509 EPSG:4326:9 6 449 2 1018 EPSG:4326:10 12 898 5 2037 EPSG:4326:11 24 1797 11 4074 EPSG:4326:12 48 3595 23 8149 EPSG:4326:13 96 7191 46 16299 EPSG:4326:14 192 14383 92 32598 EPSG:4326:15 384 28767 184 65197 EPSG:4326:16 768 57534 369 130394 EPSG:4326:17 1537 115069 738 260788 EPSG:4326:18 3075 230138 1477 521576 EPSG:4326:19 6150 460276 2954 1043153 EPSG:4326:20 12300 920553 5909 2086307 EPSG:4326:21 24600 1841107 11819 4172614 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 12 0 15 EPSG:900913:5 0 24 0 31 EPSG:900913:6 0 48 0 63 EPSG:900913:7 0 97 0 127 EPSG:900913:8 0 194 0 254 EPSG:900913:9 0 389 1 509 EPSG:900913:10 0 779 2 1018 EPSG:900913:11 0 1558 5 2037 EPSG:900913:12 0 3116 11 4074 EPSG:900913:13 0 6232 23 8149 EPSG:900913:14 0 12465 46 16299 EPSG:900913:15 0 24931 92 32598 EPSG:900913:16 0 49863 184 65197 EPSG:900913:17 0 99727 369 130394 EPSG:900913:18 0 199455 738 260788 EPSG:900913:19 0 398910 1477 521576 EPSG:900913:20 0 797820 2954 1043153 EPSG:900913:21 0 1595640 5909 2086307 EPSG:900913:22 0 3191281 11819 4172614 EPSG:900913:23 0 6382562 23639 8345228 EPSG:900913:24 0 12765124 47279 16690457 EPSG:900913:25 0 25530249 94558 33380915 EPSG:900913:26 0 51060498 189117 66761830 EPSG:900913:27 0 102120996 378234 133523661 EPSG:900913:28 0 204241992 756469 267047322 EPSG:900913:29 0 408483985 1512939 534094644 EPSG:900913:30 0 816967971 3025878 1068189288 NIU_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -170.2976891177109 -19.203724554258542 -169.63296689548866 -18.892613443147436 niu:NIU_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 19 19 1 1 EPSG:4326:6 38 38 3 3 EPSG:4326:7 77 77 6 7 EPSG:4326:8 154 155 13 14 EPSG:4326:9 309 310 27 29 EPSG:4326:10 619 621 55 58 EPSG:4326:11 1238 1242 110 117 EPSG:4326:12 2477 2484 220 235 EPSG:4326:13 4955 4969 441 471 EPSG:4326:14 9911 9939 883 943 EPSG:4326:15 19823 19879 1766 1887 EPSG:4326:16 39646 39759 3532 3774 EPSG:4326:17 79293 79519 7065 7549 EPSG:4326:18 158586 159039 14130 15098 EPSG:4326:19 317172 318078 28260 30196 EPSG:4326:20 634345 636157 56520 60392 EPSG:4326:21 1268690 1272315 113040 120784 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 35 35 1 1 EPSG:900913:7 70 70 3 3 EPSG:900913:8 141 141 6 7 EPSG:900913:9 283 283 13 14 EPSG:900913:10 566 567 27 29 EPSG:900913:11 1133 1135 55 58 EPSG:900913:12 2266 2270 110 117 EPSG:900913:13 4533 4541 220 235 EPSG:900913:14 9067 9082 441 471 EPSG:900913:15 18135 18165 883 943 EPSG:900913:16 36271 36331 1766 1887 EPSG:900913:17 72542 72662 3532 3774 EPSG:900913:18 145085 145325 7065 7549 EPSG:900913:19 290170 290650 14130 15098 EPSG:900913:20 580341 581300 28260 30196 EPSG:900913:21 1160683 1162601 56520 60392 EPSG:900913:22 2321367 2325202 113040 120784 EPSG:900913:23 4642735 4650404 226080 241569 EPSG:900913:24 9285470 9300809 452160 483138 EPSG:900913:25 18570940 18601618 904320 966277 EPSG:900913:26 37141881 37203236 1808641 1932555 EPSG:900913:27 74283763 74406473 3617283 3865110 EPSG:900913:28 148567527 148812947 7234567 7730220 EPSG:900913:29 297135055 297625894 14469134 15460440 EPSG:900913:30 594270110 595251789 28938269 30920880 MHL_2020_ImageryBikar_Sentinel2 This resource contains satellite imagery for Bikar Atoll in the Marshall Islands. The imagery was collected on April 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200411T231229_N0209_R001_T59PLP_20200412T003202 169.1584619653071 11.665740831980457 170.17242432711944 12.66325335258812 mhl:MHL_2020_ImageryBikar_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 6 31 31 EPSG:4326:5 13 13 62 62 EPSG:4326:6 27 27 124 124 EPSG:4326:7 54 55 248 249 EPSG:4326:8 109 111 496 498 EPSG:4326:9 219 222 993 996 EPSG:4326:10 439 445 1986 1992 EPSG:4326:11 879 891 3972 3984 EPSG:4326:12 1759 1782 7945 7968 EPSG:4326:13 3519 3565 15890 15936 EPSG:4326:14 7039 7130 31781 31873 EPSG:4326:15 14078 14260 63562 63746 EPSG:4326:16 28157 28520 127124 127493 EPSG:4326:17 56314 57041 254249 254987 EPSG:4326:18 112629 114082 508498 509975 EPSG:4326:19 225259 228165 1016997 1019951 EPSG:4326:20 450519 456330 2033995 2039902 EPSG:4326:21 901038 912660 4067990 4079804 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 14 31 31 EPSG:900913:6 29 29 62 62 EPSG:900913:7 59 59 124 124 EPSG:900913:8 118 119 248 249 EPSG:900913:9 237 239 496 498 EPSG:900913:10 475 478 993 996 EPSG:900913:11 951 957 1986 1992 EPSG:900913:12 1902 1914 3972 3984 EPSG:900913:13 3805 3828 7945 7968 EPSG:900913:14 7610 7657 15890 15936 EPSG:900913:15 15221 15314 31781 31873 EPSG:900913:16 30443 30629 63562 63746 EPSG:900913:17 60887 61258 127124 127493 EPSG:900913:18 121774 122517 254249 254987 EPSG:900913:19 243549 245035 508498 509975 EPSG:900913:20 487099 490071 1016997 1019951 EPSG:900913:21 974199 980143 2033995 2039902 EPSG:900913:22 1948398 1960287 4067990 4079804 EPSG:900913:23 3896796 3920574 8135981 8159608 EPSG:900913:24 7793593 7841149 16271963 16319217 EPSG:900913:25 15587187 15682298 32543927 32638435 EPSG:900913:26 31174374 31364597 65087854 65276871 EPSG:900913:27 62348748 62729195 130175709 130553742 EPSG:900913:28 124697496 125458390 260351419 261107484 EPSG:900913:29 249394992 250916780 520702838 522214968 EPSG:900913:30 498789984 501833560 1041405677 1044429937 COK_2019_DEM1arcsecNorthIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -166.00013888888893 -12.000138888888845 -156.99986111111124 -7.99986111111111 cok:COK_2019_DEM1arcsecNorthIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 1 EPSG:4326:4 8 9 1 2 EPSG:4326:5 17 18 2 4 EPSG:4326:6 34 36 4 8 EPSG:4326:7 69 72 9 16 EPSG:4326:8 139 145 19 32 EPSG:4326:9 278 290 39 65 EPSG:4326:10 557 580 79 130 EPSG:4326:11 1115 1160 159 261 EPSG:4326:12 2230 2321 318 523 EPSG:4326:13 4460 4642 637 1046 EPSG:4326:14 8920 9284 1274 2093 EPSG:4326:15 17840 18568 2548 4187 EPSG:4326:16 35680 37137 5097 8374 EPSG:4326:17 71361 74274 10194 16748 EPSG:4326:18 142722 148548 20388 33496 EPSG:4326:19 285445 297096 40777 66992 EPSG:4326:20 570890 594193 81555 133985 EPSG:4326:21 1141781 1188387 163110 267971 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 1 EPSG:900913:5 16 17 1 2 EPSG:900913:6 33 34 2 4 EPSG:900913:7 66 68 4 8 EPSG:900913:8 133 136 9 16 EPSG:900913:9 267 273 19 32 EPSG:900913:10 534 546 39 65 EPSG:900913:11 1069 1092 79 130 EPSG:900913:12 2139 2185 159 261 EPSG:900913:13 4278 4371 318 523 EPSG:900913:14 8557 8742 637 1046 EPSG:900913:15 17114 17484 1274 2093 EPSG:900913:16 34229 34968 2548 4187 EPSG:900913:17 68458 69937 5097 8374 EPSG:900913:18 136916 139874 10194 16748 EPSG:900913:19 273832 279749 20388 33496 EPSG:900913:20 547665 559499 40777 66992 EPSG:900913:21 1095330 1118998 81555 133985 EPSG:900913:22 2190661 2237997 163110 267971 EPSG:900913:23 4381322 4475994 326220 535942 EPSG:900913:24 8762645 8951989 652440 1071884 EPSG:900913:25 17525291 17903978 1304881 2143768 EPSG:900913:26 35050583 35807956 2609763 4287536 EPSG:900913:27 70101166 71615912 5219526 8575073 EPSG:900913:28 140202333 143231825 10439053 17150146 EPSG:900913:29 280404666 286463650 20878106 34300293 EPSG:900913:30 560809333 572927300 41756212 68600586 TUV_2020_ImageryVaitupaNukufetauFunafuti_Sentinel2 This resource contains satellite imagery for Tuvalu. The imagery was collected on July 20, 2020, September 21, 2020, and October 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200921T223641_N0214_R115_T60MVU_20200922T002114 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAK_20200721T002156 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAJ_20200721T002156 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWU_20201012T002111 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWT_20201012T002111 S2A_MSIL2A_20200921T223641_N0214_R115_T60MUU_20200922T002114 178.05650454784052 -8.692228728198662 179.3743032734244 -7.431442663679788 tuv:TUV_2020_ImageryVaitupaNukufetauFunafuti_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 31 31 EPSG:4326:5 17 17 63 63 EPSG:4326:6 34 35 127 127 EPSG:4326:7 69 70 254 255 EPSG:4326:8 138 140 509 511 EPSG:4326:9 277 280 1018 1022 EPSG:4326:10 554 561 2036 2044 EPSG:4326:11 1108 1122 4073 4088 EPSG:4326:12 2217 2245 8147 8177 EPSG:4326:13 4434 4491 16295 16355 EPSG:4326:14 8868 8983 32591 32711 EPSG:4326:15 17736 17966 65182 65422 EPSG:4326:16 35473 35932 130364 130844 EPSG:4326:17 70947 71865 260728 261688 EPSG:4326:18 141894 143730 521457 523376 EPSG:4326:19 283789 287461 1042915 1046753 EPSG:4326:20 567579 574923 2085830 2093507 EPSG:4326:21 1135158 1149847 4171660 4187014 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 31 31 EPSG:900913:6 33 33 63 63 EPSG:900913:7 66 67 127 127 EPSG:900913:8 133 134 254 255 EPSG:900913:9 266 268 509 511 EPSG:900913:10 533 536 1018 1022 EPSG:900913:11 1066 1073 2036 2044 EPSG:900913:12 2132 2147 4073 4088 EPSG:900913:13 4265 4294 8147 8177 EPSG:900913:14 8531 8589 16295 16355 EPSG:900913:15 17062 17178 32591 32711 EPSG:900913:16 34124 34356 65182 65422 EPSG:900913:17 68249 68712 130364 130844 EPSG:900913:18 136498 137425 260728 261688 EPSG:900913:19 272997 274851 521457 523376 EPSG:900913:20 545994 549703 1042915 1046753 EPSG:900913:21 1091989 1099407 2085830 2093507 EPSG:900913:22 2183978 2198814 4171660 4187014 EPSG:900913:23 4367956 4397629 8343321 8374028 EPSG:900913:24 8735913 8795258 16686642 16748056 EPSG:900913:25 17471826 17590516 33373285 33496112 EPSG:900913:26 34943653 35181032 66746570 66992225 EPSG:900913:27 69887307 70362064 133493140 133984451 EPSG:900913:28 139774615 140724129 266986280 267968902 EPSG:900913:29 279549231 281448258 533972561 535937805 EPSG:900913:30 559098462 562896517 1067945123 1071875610 FSM_2005_DEM10mKosrae_USGS A 10-meter resolution land surface digital elevation model (DEM) for the island of Kosrae in the Federated States of Micronesia (FSM) from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. 162.89453656857302 5.251201849722848 163.05750054896657 5.385924913059563 fsm:FSM_2005_DEM10mKosrae_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 15 15 60 60 EPSG:4326:6 30 30 121 121 EPSG:4326:7 60 60 243 243 EPSG:4326:8 120 120 487 487 EPSG:4326:9 240 241 975 975 EPSG:4326:10 481 482 1950 1951 EPSG:4326:11 962 964 3901 3903 EPSG:4326:12 1925 1928 7802 7806 EPSG:4326:13 3850 3857 15605 15612 EPSG:4326:14 7701 7714 31211 31225 EPSG:4326:15 15403 15428 62422 62451 EPSG:4326:16 30807 30856 124844 124903 EPSG:4326:17 61614 61712 249688 249806 EPSG:4326:18 123228 123424 499376 499613 EPSG:4326:19 246456 246848 998752 999227 EPSG:4326:20 492912 493697 1997505 1998454 EPSG:4326:21 985825 987395 3995010 3996909 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 31 31 60 60 EPSG:900913:7 62 62 121 121 EPSG:900913:8 124 124 243 243 EPSG:900913:9 248 248 487 487 EPSG:900913:10 496 497 975 975 EPSG:900913:11 993 994 1950 1951 EPSG:900913:12 1986 1988 3901 3903 EPSG:900913:13 3973 3976 7802 7806 EPSG:900913:14 7946 7952 15605 15612 EPSG:900913:15 15893 15905 31211 31225 EPSG:900913:16 31786 31810 62422 62451 EPSG:900913:17 63572 63621 124844 124903 EPSG:900913:18 127144 127242 249688 249806 EPSG:900913:19 254288 254485 499376 499613 EPSG:900913:20 508577 508971 998752 999227 EPSG:900913:21 1017154 1017942 1997505 1998454 EPSG:900913:22 2034308 2035885 3995010 3996909 EPSG:900913:23 4068617 4071770 7990021 7993819 EPSG:900913:24 8137235 8143540 15980043 15987638 EPSG:900913:25 16274470 16287081 31960087 31975276 EPSG:900913:26 32548940 32574163 63920174 63950553 EPSG:900913:27 65097881 65148327 127840349 127901106 EPSG:900913:28 130195763 130296654 255680698 255802212 EPSG:900913:29 260391527 260593309 511361396 511604425 EPSG:900913:30 520783054 521186619 1022722792 1023208851 MHL_2020_ImageryLae_Sentinel2 This resource contains satellite imagery for Lae Atoll in the Marshall Islands. The imagery was collected on March 18, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200318T233259_N0209_R087_T58PFQ_20200319T005508 165.907527632251 8.049153270568084 166.9086468529447 9.04561414016698 mhl:MHL_2020_ImageryLae_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 61 61 EPSG:4326:6 28 29 122 123 EPSG:4326:7 57 58 245 246 EPSG:4326:8 115 116 491 493 EPSG:4326:9 230 233 983 986 EPSG:4326:10 460 466 1967 1973 EPSG:4326:11 921 932 3935 3947 EPSG:4326:12 1842 1864 7871 7894 EPSG:4326:13 3684 3729 15742 15788 EPSG:4326:14 7368 7459 31485 31576 EPSG:4326:15 14737 14918 62970 63152 EPSG:4326:16 29474 29837 125941 126305 EPSG:4326:17 58949 59674 251882 252611 EPSG:4326:18 117898 119349 503764 505222 EPSG:4326:19 235796 238699 1007528 1010444 EPSG:4326:20 471593 477398 2015057 2020889 EPSG:4326:21 943186 954796 4030114 4041778 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 61 61 EPSG:900913:7 60 61 122 123 EPSG:900913:8 121 122 245 246 EPSG:900913:9 243 244 491 493 EPSG:900913:10 486 489 983 986 EPSG:900913:11 972 978 1967 1973 EPSG:900913:12 1944 1956 3935 3947 EPSG:900913:13 3889 3912 7871 7894 EPSG:900913:14 7778 7824 15742 15788 EPSG:900913:15 15557 15648 31485 31576 EPSG:900913:16 31114 31297 62970 63152 EPSG:900913:17 62228 62595 125941 126305 EPSG:900913:18 124457 125191 251882 252611 EPSG:900913:19 248915 250382 503764 505222 EPSG:900913:20 497830 500765 1007528 1010444 EPSG:900913:21 995661 1001531 2015057 2020889 EPSG:900913:22 1991322 2003062 4030114 4041778 EPSG:900913:23 3982644 4006125 8060229 8083557 EPSG:900913:24 7965289 8012250 16120459 16167114 EPSG:900913:25 15930579 16024500 32240918 32334229 EPSG:900913:26 31861158 32049001 64481836 64668458 EPSG:900913:27 63722317 64098002 128963673 129336917 EPSG:900913:28 127444634 128196004 257927346 258673835 EPSG:900913:29 254889268 256392008 515854693 517347671 EPSG:900913:30 509778536 512784017 1031709387 1034695342 SLB_2019-2020_ImagerySanCristobal_Sentinel2 This resource contains satellite imagery for the San Cristobal in the Solomon Islands. The imagery was collected on September 5, 2019, January 18, 2020, and April 7, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20190905T233821_N0213_R087_T57LYJ_20190906T013545 S2B_MSIL2A_20200118T233809_N0213_R087_T57LZK_20200119T012832 S2B_MSIL2A_20200407T233809_N0214_R087_T57LZJ_20200408T014505 160.81909991169658 -10.938500009049871 162.7475979306164 -9.027228624074892 slb:SLB_2019-2020_ImagerySanCristobal_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 17 17 60 60 EPSG:4326:6 35 35 121 121 EPSG:4326:7 70 71 242 243 EPSG:4326:8 140 143 484 487 EPSG:4326:9 281 287 969 974 EPSG:4326:10 563 574 1938 1949 EPSG:4326:11 1126 1148 3877 3899 EPSG:4326:12 2253 2296 7755 7799 EPSG:4326:13 4506 4593 15511 15598 EPSG:4326:14 9013 9187 31022 31197 EPSG:4326:15 18027 18375 62044 62395 EPSG:4326:16 36054 36750 124088 124790 EPSG:4326:17 72109 73501 248176 249581 EPSG:4326:18 144218 147002 496353 499162 EPSG:4326:19 288437 294004 992707 998324 EPSG:4326:20 576875 588009 1985415 1996649 EPSG:4326:21 1153750 1176018 3970830 3993298 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 33 33 60 60 EPSG:900913:7 67 67 121 121 EPSG:900913:8 134 135 242 243 EPSG:900913:9 268 271 484 487 EPSG:900913:10 537 543 969 974 EPSG:900913:11 1075 1086 1938 1949 EPSG:900913:12 2151 2173 3877 3899 EPSG:900913:13 4302 4346 7755 7799 EPSG:900913:14 8604 8692 15511 15598 EPSG:900913:15 17209 17385 31022 31197 EPSG:900913:16 34418 34771 62044 62395 EPSG:900913:17 68836 69543 124088 124790 EPSG:900913:18 137672 139086 248176 249581 EPSG:900913:19 275345 278172 496353 499162 EPSG:900913:20 550691 556344 992707 998324 EPSG:900913:21 1101382 1112688 1985415 1996649 EPSG:900913:22 2202764 2225376 3970830 3993298 EPSG:900913:23 4405529 4450752 7941660 7986597 EPSG:900913:24 8811058 8901504 15883321 15973195 EPSG:900913:25 17622117 17803008 31766642 31946391 EPSG:900913:26 35244235 35606016 63533285 63892783 EPSG:900913:27 70488470 71212033 127066570 127785566 EPSG:900913:28 140976940 142424067 254133140 255571132 EPSG:900913:29 281953880 284848135 508266280 511142265 EPSG:900913:30 563907761 569696270 1016532561 1022284530 TON_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -177.00013888888898 -23.00013888888877 -172.99986111111124 -14.99986111111107 ton:TON_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 5 0 0 EPSG:4326:4 9 10 0 0 EPSG:4326:5 18 20 0 1 EPSG:4326:6 37 40 1 2 EPSG:4326:7 74 80 2 4 EPSG:4326:8 149 160 4 9 EPSG:4326:9 298 321 8 19 EPSG:4326:10 597 642 17 39 EPSG:4326:11 1194 1285 34 79 EPSG:4326:12 2389 2571 68 159 EPSG:4326:13 4778 5142 136 318 EPSG:4326:14 9557 10285 273 637 EPSG:4326:15 19114 20571 546 1274 EPSG:4326:16 38229 41142 1092 2548 EPSG:4326:17 76458 82284 2184 5097 EPSG:4326:18 152917 164568 4368 10194 EPSG:4326:19 305834 329136 8737 20389 EPSG:4326:20 611668 658273 17475 40778 EPSG:4326:21 1223337 1316547 34950 81557 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 9 0 0 EPSG:900913:5 17 18 0 0 EPSG:900913:6 34 36 0 1 EPSG:900913:7 69 72 1 2 EPSG:900913:8 138 144 2 4 EPSG:900913:9 277 289 4 9 EPSG:900913:10 555 579 8 19 EPSG:900913:11 1110 1158 17 39 EPSG:900913:12 2220 2317 34 79 EPSG:900913:13 4441 4634 68 159 EPSG:900913:14 8882 9268 136 318 EPSG:900913:15 17765 18536 273 637 EPSG:900913:16 35530 37072 546 1274 EPSG:900913:17 71060 74144 1092 2548 EPSG:900913:18 142121 148289 2184 5097 EPSG:900913:19 284243 296578 4368 10194 EPSG:900913:20 568486 593156 8737 20389 EPSG:900913:21 1136972 1186312 17475 40778 EPSG:900913:22 2273944 2372624 34950 81557 EPSG:900913:23 4547888 4745248 69901 163115 EPSG:900913:24 9095776 9490497 139803 326230 EPSG:900913:25 18191553 18980994 279607 652460 EPSG:900913:26 36383107 37961988 559214 1304920 EPSG:900913:27 72766215 75923977 1118429 2609840 EPSG:900913:28 145532431 151847954 2236858 5219681 EPSG:900913:29 291064862 303695909 4473717 10439363 EPSG:900913:30 582129724 607391819 8947434 20878727 Global_2011_Knolls_ZSL This dataset shows the global distribution of knolls identified using global bathymetric data at 30 arc-sec resolution. A total of 138,412 knolls were identified, representing the largest global set of identified knolls to date. Knoll habitat was found to constitute approximately 16.3% of the ocean floor. The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN). Please use the following citation for this dataset: Yesson C, Clark MR, Taylor M, Rogers AD (2011). The global distribution of seamounts based on 30-second bathymetry data. Deep Sea Research Part I: Oceanographic Research Papers 58: 442-453. doi: 10.1016/j.dsr.2011.02.004. Data URL: http://data.unep-wcmc.org/datasets/41 -179.98749999999998 -77.79526367187499 179.98333333333338 84.99223632812505 global:Global_2011_Knolls_ZSL image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 59 0 127 EPSG:4326:7 3 119 0 255 EPSG:4326:8 7 238 0 511 EPSG:4326:9 14 477 0 1023 EPSG:4326:10 28 954 0 2047 EPSG:4326:11 56 1909 0 4095 EPSG:4326:12 113 3818 0 8191 EPSG:4326:13 227 7636 0 16383 EPSG:4326:14 455 15273 1 32766 EPSG:4326:15 911 30546 2 65532 EPSG:4326:16 1823 61092 4 131065 EPSG:4326:17 3646 122184 9 262131 EPSG:4326:18 7293 244369 18 524263 EPSG:4326:19 14586 488739 36 1048527 EPSG:4326:20 29172 977478 72 2097054 EPSG:4326:21 58344 1954956 145 4194109 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 0 54 0 63 EPSG:900913:7 0 109 0 127 EPSG:900913:8 0 219 0 255 EPSG:900913:9 0 438 0 511 EPSG:900913:10 1 876 0 1023 EPSG:900913:11 3 1752 0 2047 EPSG:900913:12 7 3505 0 4095 EPSG:900913:13 15 7010 0 8191 EPSG:900913:14 30 14021 0 16383 EPSG:900913:15 61 28043 1 32766 EPSG:900913:16 123 56087 2 65532 EPSG:900913:17 247 112175 4 131065 EPSG:900913:18 494 224351 9 262131 EPSG:900913:19 988 448702 18 524263 EPSG:900913:20 1976 897404 36 1048527 EPSG:900913:21 3953 1794809 72 2097054 EPSG:900913:22 7906 3589619 145 4194109 EPSG:900913:23 15813 7179239 291 8388219 EPSG:900913:24 31627 14358479 582 16776439 EPSG:900913:25 63255 28716958 1165 33552878 EPSG:900913:26 126511 57433917 2330 67105757 EPSG:900913:27 253022 114867835 4660 134211514 EPSG:900913:28 506044 229735670 9320 268423028 EPSG:900913:29 1012088 459471341 18641 536846056 EPSG:900913:30 2024177 918942682 37282 1073692113 World Database Protected Areas Polygons The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. -180.0 -26.201000213623 180.0 23.8930015563965 pipap:World_Database_Protected_Areas_Polygons text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 2 5 0 15 EPSG:4326:4 5 10 0 31 EPSG:4326:5 11 20 0 63 EPSG:4326:6 23 41 0 127 EPSG:4326:7 47 82 0 255 EPSG:4326:8 94 165 0 511 EPSG:4326:9 188 330 0 1023 EPSG:4326:10 376 661 0 2047 EPSG:4326:11 752 1322 0 4095 EPSG:4326:12 1504 2644 0 8191 EPSG:4326:13 3008 5288 0 16383 EPSG:4326:14 6017 10576 0 32767 EPSG:4326:15 12034 21153 0 65535 EPSG:4326:16 24068 42307 0 131071 EPSG:4326:17 48137 84614 0 262143 EPSG:4326:18 96275 169229 0 524287 EPSG:4326:19 192550 338459 0 1048575 EPSG:4326:20 385101 676919 0 2097151 EPSG:4326:21 770202 1353839 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 6 9 0 15 EPSG:900913:5 13 18 0 31 EPSG:900913:6 27 36 0 63 EPSG:900913:7 55 73 0 127 EPSG:900913:8 110 147 0 255 EPSG:900913:9 220 294 0 511 EPSG:900913:10 441 589 0 1023 EPSG:900913:11 883 1178 0 2047 EPSG:900913:12 1767 2357 0 4095 EPSG:900913:13 3535 4714 0 8191 EPSG:900913:14 7071 9428 0 16383 EPSG:900913:15 14143 18856 0 32767 EPSG:900913:16 28286 37713 0 65535 EPSG:900913:17 56573 75426 0 131071 EPSG:900913:18 113146 150852 0 262143 EPSG:900913:19 226292 301705 0 524287 EPSG:900913:20 452585 603411 0 1048575 EPSG:900913:21 905170 1206823 0 2097151 EPSG:900913:22 1810340 2413647 0 4194303 EPSG:900913:23 3620681 4827295 0 8388607 EPSG:900913:24 7241362 9654590 0 16777215 EPSG:900913:25 14482725 19309180 0 33554431 EPSG:900913:26 28965451 38618360 0 67108863 EPSG:900913:27 57930902 77236720 0 134217727 EPSG:900913:28 115861805 154473440 0 268435455 EPSG:900913:29 231723611 308946881 0 536870911 EPSG:900913:30 463447222 617893763 0 1073741823 Global_2000-2014_SurfaceNitrateMean_BioOracle2 Raster data representing the mean levels of nitrate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceNitrateMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 Global_2013_ShelfClassification_BlueHabitats Global distribution of shelf class seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.9999735907981 -78.6869716641077 179.99998683840715 84.2073540820156 global:Global_2013_ShelfClassification_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 1 29 0 63 EPSG:4326:6 2 59 0 127 EPSG:4326:7 4 119 0 255 EPSG:4326:8 8 239 0 511 EPSG:4326:9 16 479 0 1023 EPSG:4326:10 32 959 0 2047 EPSG:4326:11 65 1919 0 4095 EPSG:4326:12 131 3838 0 8191 EPSG:4326:13 263 7677 0 16383 EPSG:4326:14 527 15354 0 32767 EPSG:4326:15 1054 30708 0 65535 EPSG:4326:16 2109 61417 0 131071 EPSG:4326:17 4218 122834 0 262143 EPSG:4326:18 8436 245668 0 524287 EPSG:4326:19 16872 491336 0 1048575 EPSG:4326:20 33744 982672 0 2097151 EPSG:4326:21 67489 1965345 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 1 55 0 63 EPSG:900913:7 3 111 0 127 EPSG:900913:8 6 222 0 255 EPSG:900913:9 12 444 0 511 EPSG:900913:10 25 888 0 1023 EPSG:900913:11 51 1777 0 2047 EPSG:900913:12 102 3555 0 4095 EPSG:900913:13 205 7110 0 8191 EPSG:900913:14 411 14221 0 16383 EPSG:900913:15 822 28442 0 32767 EPSG:900913:16 1644 56884 0 65535 EPSG:900913:17 3288 113769 0 131071 EPSG:900913:18 6577 227538 0 262143 EPSG:900913:19 13155 455077 0 524287 EPSG:900913:20 26311 910155 0 1048575 EPSG:900913:21 52622 1820311 0 2097151 EPSG:900913:22 105244 3640622 0 4194303 EPSG:900913:23 210489 7281245 0 8388607 EPSG:900913:24 420979 14562491 1 16777215 EPSG:900913:25 841959 29124983 2 33554430 EPSG:900913:26 1683919 58249967 4 67108861 EPSG:900913:27 3367839 116499934 9 134217723 EPSG:900913:28 6735679 232999868 19 268435446 EPSG:900913:29 13471359 465999736 39 536870892 EPSG:900913:30 26942719 931999473 78 1073741784 Global_2011_KnollsBaseArea_ZSL This dataset shows the global distribution of knolls identified using global bathymetric data at 30 arc-sec resolution. A total of 138,412 knolls were identified, representing the largest global set of identified knolls to date. Knoll habitat was found to constitute approximately 16.3% of the ocean floor. The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN). Please use the following citation for this dataset: Yesson C, Clark MR, Taylor M, Rogers AD (2011). The global distribution of seamounts based on 30-second bathymetry data. Deep Sea Research Part I: Oceanographic Research Papers 58: 442-453. doi: 10.1016/j.dsr.2011.02.004. Data URL: http://data.unep-wcmc.org/datasets/41 -180.0 -77.88693033854166 180.0 85.17556966145838 global:Global_2011_KnollsBaseArea_ZSL image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 59 0 127 EPSG:4326:7 3 119 0 255 EPSG:4326:8 6 238 0 511 EPSG:4326:9 13 477 0 1023 EPSG:4326:10 27 955 0 2047 EPSG:4326:11 54 1910 0 4095 EPSG:4326:12 109 3820 0 8191 EPSG:4326:13 219 7640 0 16383 EPSG:4326:14 439 15281 0 32767 EPSG:4326:15 878 30562 0 65535 EPSG:4326:16 1756 61125 0 131071 EPSG:4326:17 3513 122251 0 262143 EPSG:4326:18 7026 244503 0 524287 EPSG:4326:19 14052 489006 0 1048575 EPSG:4326:20 28104 978012 0 2097151 EPSG:4326:21 56208 1956024 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 0 54 0 63 EPSG:900913:7 0 109 0 127 EPSG:900913:8 0 219 0 255 EPSG:900913:9 0 438 0 511 EPSG:900913:10 0 877 0 1023 EPSG:900913:11 0 1755 0 2047 EPSG:900913:12 0 3510 0 4095 EPSG:900913:13 0 7020 0 8191 EPSG:900913:14 0 14041 0 16383 EPSG:900913:15 0 28083 0 32767 EPSG:900913:16 0 56167 0 65535 EPSG:900913:17 0 112334 0 131071 EPSG:900913:18 0 224668 0 262143 EPSG:900913:19 0 449336 0 524287 EPSG:900913:20 0 898672 0 1048575 EPSG:900913:21 0 1797345 0 2097151 EPSG:900913:22 0 3594690 0 4194303 EPSG:900913:23 0 7189381 0 8388607 EPSG:900913:24 0 14378762 0 16777215 EPSG:900913:25 0 28757524 0 33554431 EPSG:900913:26 0 57515048 0 67108863 EPSG:900913:27 0 115030096 0 134217727 EPSG:900913:28 0 230060192 0 268435455 EPSG:900913:29 0 460120384 0 536870911 EPSG:900913:30 0 920240768 0 1073741823 SLB_2020_ImageryGuadalcanalCentralMalaita_Sentinel2 This resource contains satellite imagery for the Guadalcanal, Central, and Malaita Islands in the Solomon Islands. The imagery was collected on January 23, February 22, April 7, June 24, and October 2, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200123T233811_N0213_R087_T57LYK_20200124T013547 S2A_MSIL2A_20200123T233811_N0213_R087_T57LYL_20200124T013547 S2A_MSIL2A_20200123T233811_N0213_R087_T57LXL_20200124T013547 S2A_MSIL2A_20200222T233811_N0214_R087_T57MXM_20200223T013919 S2B_MSIL2A_20200407T233809_N0214_R087_T57LXK_20200408T014505 S2A_MSIL2A_20200624T234751_N0214_R130_T57MVM_20200625T015109 S2A_MSIL1C_20201002T234751_N0209_R130_T57LXL_20201003T012014 S2A_MSIL2A_20201002T234751_N0214_R130_T57LWL_20201003T014939 S2A_MSIL2A_20201002T234751_N0214_R130_T57LVL_20201003T014939 S2A_MSIL2A_20201002T234751_N0214_R130_T57MWM_20201003T014939 158.59098100013645 -10.089736604989515 161.83605906089636 -7.73161744370351 slb:SLB_2020_ImageryGuadalcanalCentralMalaita_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 17 17 60 60 EPSG:4326:6 34 35 120 121 EPSG:4326:7 69 71 240 243 EPSG:4326:8 138 142 481 486 EPSG:4326:9 277 284 963 972 EPSG:4326:10 555 569 1926 1944 EPSG:4326:11 1111 1138 3852 3889 EPSG:4326:12 2223 2277 7704 7778 EPSG:4326:13 4447 4555 15409 15557 EPSG:4326:14 8895 9110 30819 31114 EPSG:4326:15 17791 18220 61638 62229 EPSG:4326:16 35582 36441 123277 124458 EPSG:4326:17 71165 72883 246554 248917 EPSG:4326:18 142331 145766 493108 497834 EPSG:4326:19 284663 291532 986217 995669 EPSG:4326:20 569327 583064 1972435 1991339 EPSG:4326:21 1138655 1166129 3944870 3982678 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 33 33 60 60 EPSG:900913:7 66 67 120 121 EPSG:900913:8 133 135 240 243 EPSG:900913:9 267 270 481 486 EPSG:900913:10 534 540 963 972 EPSG:900913:11 1068 1081 1926 1944 EPSG:900913:12 2136 2163 3852 3889 EPSG:900913:13 4272 4326 7704 7778 EPSG:900913:14 8544 8653 15409 15557 EPSG:900913:15 17089 17307 30819 31114 EPSG:900913:16 34179 34614 61638 62229 EPSG:900913:17 68359 69228 123277 124458 EPSG:900913:18 136719 138457 246554 248917 EPSG:900913:19 273438 276914 493108 497834 EPSG:900913:20 546876 553829 986217 995669 EPSG:900913:21 1093753 1107659 1972435 1991339 EPSG:900913:22 2187506 2215318 3944870 3982678 EPSG:900913:23 4375013 4430636 7889741 7965357 EPSG:900913:24 8750026 8861273 15779483 15930714 EPSG:900913:25 17500052 17722546 31558966 31861429 EPSG:900913:26 35000104 35445092 63117933 63722859 EPSG:900913:27 70000208 70890184 126235867 127445719 EPSG:900913:28 140000416 141780369 252471734 254891439 EPSG:900913:29 280000832 283560739 504943468 509782879 EPSG:900913:30 560001665 567121479 1009886937 1019565759 FSM_2005_DEM10mChuuk_USGS A 10-meter resolution land surface digital elevation model (DEM) for the islands of Chuuk in the Federated States of Micronesia (FSM) from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. 151.4475901388118 7.065092881732372 152.0867596446419 7.680651171571348 fsm:FSM_2005_DEM10mChuuk_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 14 14 EPSG:4326:4 7 7 29 29 EPSG:4326:5 14 14 58 59 EPSG:4326:6 29 29 117 118 EPSG:4326:7 58 58 235 236 EPSG:4326:8 117 117 471 472 EPSG:4326:9 234 235 942 944 EPSG:4326:10 468 471 1885 1889 EPSG:4326:11 936 943 3771 3778 EPSG:4326:12 1873 1887 7542 7556 EPSG:4326:13 3746 3774 15084 15113 EPSG:4326:14 7492 7548 30169 30227 EPSG:4326:15 14985 15097 60338 60454 EPSG:4326:16 29971 30195 120676 120909 EPSG:4326:17 59943 60391 241352 241818 EPSG:4326:18 119886 120782 482705 483636 EPSG:4326:19 239772 241565 965411 967272 EPSG:4326:20 479544 483130 1930822 1934545 EPSG:4326:21 959089 966261 3861644 3869091 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 14 14 EPSG:900913:5 15 15 29 29 EPSG:900913:6 30 30 58 59 EPSG:900913:7 61 61 117 118 EPSG:900913:8 122 122 235 236 EPSG:900913:9 245 245 471 472 EPSG:900913:10 490 491 942 944 EPSG:900913:11 980 983 1885 1889 EPSG:900913:12 1960 1967 3771 3778 EPSG:900913:13 3920 3934 7542 7556 EPSG:900913:14 7841 7869 15084 15113 EPSG:900913:15 15682 15739 30169 30227 EPSG:900913:16 31365 31478 60338 60454 EPSG:900913:17 62731 62957 120676 120909 EPSG:900913:18 125462 125914 241352 241818 EPSG:900913:19 250924 251828 482705 483636 EPSG:900913:20 501849 503657 965411 967272 EPSG:900913:21 1003698 1007314 1930822 1934545 EPSG:900913:22 2007396 2014628 3861644 3869091 EPSG:900913:23 4014793 4029256 7723288 7738182 EPSG:900913:24 8029586 8058513 15446577 15476364 EPSG:900913:25 16059173 16117026 30893154 30952729 EPSG:900913:26 32118347 32234052 61786309 61905458 EPSG:900913:27 64236694 64468105 123572618 123810917 EPSG:900913:28 128473389 128936211 247145236 247621835 EPSG:900913:29 256946778 257872423 494290472 495243670 EPSG:900913:30 513893556 515744846 988580944 990487341 Global_2000-2014_SurfaceCurrentVelocityMean_BioOracle2 Raster data representing the mean levels of current velocities in meters/second for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceCurrentVelocityMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 COK_2019_DEM1arcsecSouthIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -160.000138888889 -22.00013888888884 -156.99986111111127 -17.9998611111111 cok:COK_2019_DEM1arcsecSouthIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 1 EPSG:4326:4 9 9 1 2 EPSG:4326:5 19 19 3 4 EPSG:4326:6 38 39 7 8 EPSG:4326:7 76 79 14 16 EPSG:4326:8 153 159 28 32 EPSG:4326:9 307 318 56 65 EPSG:4326:10 614 637 113 130 EPSG:4326:11 1228 1274 227 261 EPSG:4326:12 2457 2548 455 523 EPSG:4326:13 4915 5097 910 1046 EPSG:4326:14 9830 10194 1820 2093 EPSG:4326:15 19660 20389 3640 4187 EPSG:4326:16 39321 40778 7281 8374 EPSG:4326:17 78643 81556 14563 16748 EPSG:4326:18 157286 163112 29126 33496 EPSG:4326:19 314572 326224 58253 66992 EPSG:4326:20 629144 652448 116507 133985 EPSG:4326:21 1258289 1304896 233015 267971 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 9 0 1 EPSG:900913:5 17 18 1 2 EPSG:900913:6 35 36 3 4 EPSG:900913:7 70 72 7 8 EPSG:900913:8 141 144 14 16 EPSG:900913:9 282 288 28 32 EPSG:900913:10 564 576 56 65 EPSG:900913:11 1128 1152 113 130 EPSG:900913:12 2256 2304 227 261 EPSG:900913:13 4512 4609 455 523 EPSG:900913:14 9025 9218 910 1046 EPSG:900913:15 18050 18437 1820 2093 EPSG:900913:16 36100 36875 3640 4187 EPSG:900913:17 72200 73750 7281 8374 EPSG:900913:18 144400 147500 14563 16748 EPSG:900913:19 288800 295001 29126 33496 EPSG:900913:20 577600 590003 58253 66992 EPSG:900913:21 1155201 1180006 116507 133985 EPSG:900913:22 2310402 2360013 233015 267971 EPSG:900913:23 4620805 4720026 466030 535942 EPSG:900913:24 9241611 9440053 932061 1071884 EPSG:900913:25 18483222 18880106 1864122 2143768 EPSG:900913:26 36966444 37760212 3728244 4287536 EPSG:900913:27 73932889 75520425 7456488 8575073 EPSG:900913:28 147865779 151040850 14912977 17150146 EPSG:900913:29 295731559 302081700 29825954 34300293 EPSG:900913:30 591463119 604163400 59651909 68600586 Global_2013_Hadal_BlueHabitats Global distribution of hadal seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -60.94928014437488 180.0 55.10833333086282 global:Global_2013_Hadal_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 1 6 0 15 EPSG:4326:4 3 13 0 31 EPSG:4326:5 6 26 0 63 EPSG:4326:6 12 53 0 127 EPSG:4326:7 24 107 0 255 EPSG:4326:8 49 214 0 511 EPSG:4326:9 99 429 0 1023 EPSG:4326:10 198 858 0 2047 EPSG:4326:11 396 1717 0 4095 EPSG:4326:12 793 3434 0 8191 EPSG:4326:13 1587 6869 0 16383 EPSG:4326:14 3175 13739 0 32767 EPSG:4326:15 6351 27479 0 65535 EPSG:4326:16 12703 54958 0 131071 EPSG:4326:17 25407 109917 0 262143 EPSG:4326:18 50814 219835 0 524287 EPSG:4326:19 101629 439671 0 1048575 EPSG:4326:20 203258 879343 0 2097151 EPSG:4326:21 406517 1758686 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 2 5 0 7 EPSG:900913:4 5 11 0 15 EPSG:900913:5 10 22 0 31 EPSG:900913:6 20 45 0 63 EPSG:900913:7 40 91 0 127 EPSG:900913:8 80 183 0 255 EPSG:900913:9 161 366 0 511 EPSG:900913:10 323 732 0 1023 EPSG:900913:11 646 1464 0 2047 EPSG:900913:12 1293 2928 0 4095 EPSG:900913:13 2586 5856 0 8191 EPSG:900913:14 5173 11713 0 16383 EPSG:900913:15 10347 23427 0 32767 EPSG:900913:16 20694 46855 0 65535 EPSG:900913:17 41388 93710 0 131071 EPSG:900913:18 82777 187420 0 262143 EPSG:900913:19 165555 374840 0 524287 EPSG:900913:20 331111 749681 0 1048575 EPSG:900913:21 662222 1499362 0 2097151 EPSG:900913:22 1324445 2998724 0 4194303 EPSG:900913:23 2648891 5997448 0 8388607 EPSG:900913:24 5297783 11994896 0 16777215 EPSG:900913:25 10595567 23989792 0 33554431 EPSG:900913:26 21191134 47979585 0 67108863 EPSG:900913:27 42382268 95959171 0 134217727 EPSG:900913:28 84764536 191918342 0 268435455 EPSG:900913:29 169529073 383836684 0 536870911 EPSG:900913:30 339058147 767673368 0 1073741823 Pacific_2000-2004_EarthquakeMag4.5_USGS Earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2000-2004. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks. Fields are defined below: alert Data Type: String Typical Values: “green”, “yellow”, “orange”, “red”. Description: The alert level from the PAGER earthquake impact scale. cdi Data Type: Decimal Typical Values: [0.0, 10.0] Description: The maximum reported intensity for the event. Computed by DYFI. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. code Data Type: String Typical Values: "2013lgaz", "c000f1jy", "71935551" Description: An identifying code assigned by - and unique from - the corresponding source for the event. Depth Data Type: Decimal Typical Values: [0, 1000] Description: Depth of the event in kilometers. Additional Information: The depth where the earthquake begins to rupture. This depth may be relative to the WGS84 geoid, mean sea-level, or the average elevation of the seismic stations which provided arrival-time data for the earthquake location. The choice of reference depth is dependent on the method used to locate the earthquake, which varies by seismic network. Since ComCat includes data from many different seismic networks, the process for determining the depth is different for different events. The depth is the least-constrained parameter in the earthquake location, and the error bars are generally larger than the variation due to different depth determination methods. Sometimes when depth is poorly constrained by available seismic data, the location program will set the depth at a fixed value. For example, 33 km is often used as a default depth for earthquakes determined to be shallow, but whose depth is not satisfactorily determined by the data, whereas default depths of 5 or 10 km are often used in mid-continental areas and on mid-ocean ridges since earthquakes in these areas are usually shallower than 33 km. depthError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported depth of the event in kilometers. Additional Information: The depth error, in km, defined as the largest projection of the three principal errors on a vertical line. detail Data Type: String Description: Link to GeoJSON detail feed from a GeoJSON summary feed. NOTE: When searching and using geojson with callback, no callback is included in the detail url. dmin Data Type: Decimal Typical Values: [0.4, 7.1] Description: Horizontal distance from the epicenter to the nearest station (in degrees). 1 degree is approximately 111.2 kilometers. In general, the smaller this number, the more reliable is the calculated depth of the earthquake. felt Data Type: Integer Typical Values: [44, 843] Description: The total number of felt reports submitted to the DYFI? system. gap Data Type: Decimal Typical Values: [0.0, 180.0] Description: The largest azimuthal gap between azimuthally adjacent stations (in degrees). In general, the smaller this number, the more reliable is the calculated horizontal position of the earthquake. Earthquake locations in which the azimuthal gap exceeds 180 degrees typically have large location and depth uncertainties. horizontalError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported location of the event in kilometers. Additional Information: The horizontal location error, in km, defined as the length of the largest projection of the three principal errors on a horizontal plane. The principal errors are the major axes of the error ellipsoid, and are mutually perpendicular. The horizontal and vertical uncertainties in an event's location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. id Data Type: String Typical Values: A (generally) two-character network identifier with a (generally) eight-character network-assigned code. Description: A unique identifier for the event. This is the current preferred id for the event, and may change over time. See the "ids" GeoJSON format property. ids Data Type: String Typical Values: ",ci15296281,us2013mqbd,at00mji9pf," Description: A comma-separated list of event ids that are associated to an event. latitude Data Type: Decimal Typical Values: [-90.0, 90.0] Description: Decimal degrees latitude. Negative values for southern latitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. locationSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The network that originally authored the reported location of this event. longitude Data Type: Decimal Typical Values: [-180.0, 180.0] Description: Decimal degrees longitude. Negative values for western longitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. mag Data Type: Decimal Typical Values: [-1.0, 10.0] Description: The magnitude for the event. See also magType. Additional Information: The magnitude reported is that which the U.S. Geological Survey considers official for this earthquake, and was the best available estimate of the earthquake’s size, at the time that this page was created. Other magnitudes associated with web pages linked from here are those determined at various times following the earthquake with different types of seismic data. Although they are legitimate estimates of magnitude, the U.S. Geological Survey does not consider them to be the preferred "official" magnitude for the event. Earthquake magnitude is a measure of the size of an earthquake at its source. It is a logarithmic measure. At the same distance from the earthquake, the amplitude of the seismic waves from which the magnitude is determined are approximately 10 times as large during a magnitude 5 earthquake as during a magnitude 4 earthquake. The total amount of energy released by the earthquake usually goes up by a larger factor: for many commonly used magnitude types, the total energy of an average earthquake goes up by a factor of approximately 32 for each unit increase in magnitude. There are various ways that magnitude may be calculated from seismograms. Different methods are effective for different sizes of earthquakes and different distances between the earthquake source and the recording station. The various magnitude types are generally defined so as to yield magnitude values that agree to within a few-tenths of a magnitude-unit for earthquakes in a middle range of recorded-earthquake sizes, but the various magnitude-types may have values that differ by more than a magnitude-unit for very large and very small earthquakes as well as for some specific classes of seismic source. This is because earthquakes are commonly complex events that release energy over a wide range of frequencies and at varying amounts as the faulting or rupture process occurs. The various types of magnitude measure different aspects of the seismic radiation (e.g., low-frequency energy vs. high-frequency energy). The relationship among values of different magnitude types that are assigned to a particular seismic event may enable the seismologist to better understand the processes at the focus of the seismic event. The various magnitude-types are not all available at the same time for a particular earthquake. Preliminary magnitudes based on incomplete but rapidly-available data are sometimes estimated and reported. For example, the Tsunami Warning Centers will calculate a preliminary magnitude and location for an event as soon as sufficient data are available to make an estimate. In this case, time is of the essence in order to broadcast a warning if tsunami waves are likely to be generated by the event. Such preliminary magnitudes are superseded by improved estimates of magnitude as more data become available. For large earthquakes of the present era, the magnitude that is ultimately selected as the preferred magnitude for reporting to the public is commonly a moment magnitude that is based on the scalar seismic-moment of an earthquake determined by calculation of the seismic moment-tensor that best accounts for the character of the seismic waves generated by the earthquake. The scalar seismic-moment, a parameter of the seismic moment-tensor, can also be estimated via the multiplicative product rigidity of faulted rock x area of fault rupture x average fault displacement during the earthquake. magError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported magnitude of the event. The estimated standard error of the magnitude. The uncertainty corresponds to the specific magnitude type being reported and does not take into account magnitude variations and biases between different magnitude scales. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. magNst Data Type: Integer Description: The total number of seismic stations used to calculate the magnitude for this earthquake. magSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: Network that originally authored the reported magnitude for this event. magType Data Type: String Typical Values: “Md”, “Ml”, “Ms”, “Mw”, “Me”, “Mi”, “Mb”, “MLg” Description: The method or algorithm used to calculate the preferred magnitude for the event. Additional Information: See Magnitude Types Table. mmi Data Type: Decimal Typical Values:[0.0, 10.0] Description: The maximum estimated instrumental intensity for the event. Computed by ShakeMap. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. net Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event. nph Data Type: String Description: Number of Phases Used. Number of P and S arrival-time observations used to compute the hypocenter location. Increased numbers of arrival-time observations generally result in improved earthquake locations. nst Data Type: Integer Description: The total number of seismic stations used to determine earthquake location. Additional Information: Number of seismic stations which reported P- and S-arrival times for this earthquake. This number may be larger than the Number of Phases Used if arrival times are rejected because the distance to a seismic station exceeds the maximum allowable distance or because the arrival-time observation is inconsistent with the solution. place Data Type: String Description: Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name. Additional Information: We use a GeoNames dataset to reference populated places that are in close proximity to a seismic event. GeoNames has compiled a list of cities in the United States where the population is 1,000 or greater (cities1000.txt). This is the primary list that we use when selecting nearby places. In order to provide the public with a better understanding for the location of an event we try to list a variety of places in our nearby places list. This includes the closest known populated place in relation to the seismic event (which based on our dataset will have a population of 1,000 or greater). We also include the next 3 closest places that have a population of 10,000 or greater, and finally make sure to include the closest capital city to the seismic event. The reference point for the descriptive locations is usually either the City Hall of the town (or prominent intersection in the middle of town if there is no City Hall), but please refer to the GeoNames website for the most accurate information on their data. If there is no nearby city within 300 kilometers (or if the nearby cities database is unavailable for some reason), the Flinn-Engdahl (F-E) seismic and geographical regionalization scheme is used. The boundaries of these regions are defined at one-degree intervals and therefore differ from irregular political boundaries. For example, F-E region 545 (Northern Italy) also includes small parts of France, Switzerland, Austria and Slovenia and F-E region 493 (Chesapeake Bay Region) includes all of the State of Delaware, plus parts of the District of Columbia, Maryland, New Jersey, Pennsylvania and Virginia. Beginning with January 2000, the 1995 revision to the F-E code has been used in the QED and PDE listings. As an agency of the U.S. Government, we are expected to use the names and spellings approved by the U.S. Board on Geographic Names. Any requests to approve additional names should be made to the U.S. Board on Geographic Names. rms Data Type: Decimal Typical Values: [0.13,1.39] Description: The root-mean-square (RMS) travel time residual, in sec, using all weights. This parameter provides a measure of the fit of the observed arrival times to the predicted arrival times for this location. Smaller numbers reflect a better fit of the data. The value is dependent on the accuracy of the velocity model used to compute the earthquake location, the quality weights assigned to the arrival time data, and the procedure used to locate the earthquake. sig Data Type: Integer Typical Values: [0, 1000] Description: A number describing how significant the event is. Larger numbers indicate a more significant event. This value is determined on a number of factors, including: magnitude, maximum MMI, felt reports, and estimated impact. sources Data Type: String Typical Values: ",us,nc,ci," Description: A comma-separated list of network contributors. status Data Type: String Typical Values: “automatic”, “reviewed”, “deleted” Description: Indicates whether the event has been reviewed by a human. Additional Information Status is either automatic or reviewed. Automatic events are directly posted by automatic processing systems and have not been verified or altered by a human. Reviewed events have been looked at by a human. The level of review can range from a quick validity check to a careful reanalysis of the event. time Data Type: Long Integer Description: Time when the event occurred. Times are reported in milliseconds since the epoch ( 1970-01-01T00:00:00.000Z), and do not include leap seconds. In certain output formats, the date is formatted for readability. Additional Information: We indicate the date and time when the earthquake initiates rupture, which is known as the "origin" time. Note that large earthquakes can continue rupturing for many 10's of seconds. We provide time in UTC (Coordinated Universal Time). Seismologists use UTC to avoid confusion caused by local time zones and daylight savings time. On the individual event pages, times are also provided for the time at the epicenter, and your local time based on the time your computer is set. tsunami Data Type: Integer Description: This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist. If the flag value is "1", the event will include a link to the NOAA Tsunami website for tsunami information. The USGS is not responsible for Tsunami warning; we are simply providing a link to the authoritative NOAA source. See http://www.tsunami.gov/ for all current tsunami alert statuses. type Data Type: String Typical Values: “earthquake”, “quarry” Description: Type of seismic event. types Data Type: String Typical Values: “,cap,dyfi,general-link,origin,p-wave-travel-times,phase-data,” Description: A comma-separated list of product types associated to this event. tz Data Type: Integer Typical Values: [-1200, +1200] Description: Timezone offset from UTC in minutes at the event epicenter. updated Data Type: Long Integer Description: Time when the event was most recently updated. Times are reported in milliseconds since the epoch. In certain output formats, the date is formatted for readability. url Data Type: String Description: Link to USGS Event Page for event. -179.999 -35.149 179.994 28.465 pacific:Pacific_2000-2004_EarthquakeMag4.5_USGS image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 2 5 0 15 EPSG:4326:4 5 11 0 31 EPSG:4326:5 10 22 0 63 EPSG:4326:6 21 44 0 127 EPSG:4326:7 43 88 0 255 EPSG:4326:8 87 177 0 511 EPSG:4326:9 175 355 0 1023 EPSG:4326:10 350 711 0 2047 EPSG:4326:11 700 1423 0 4095 EPSG:4326:12 1400 2847 0 8191 EPSG:4326:13 2800 5695 0 16383 EPSG:4326:14 5601 11391 0 32767 EPSG:4326:15 11202 22782 0 65534 EPSG:4326:16 22404 45565 0 131069 EPSG:4326:17 44808 91130 0 262139 EPSG:4326:18 89616 182261 1 524279 EPSG:4326:19 179233 364522 2 1048558 EPSG:4326:20 358467 729045 5 2097117 EPSG:4326:21 716934 1458091 11 4194234 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 6 9 0 15 EPSG:900913:5 13 19 0 31 EPSG:900913:6 26 38 0 63 EPSG:900913:7 53 77 0 127 EPSG:900913:8 106 154 0 255 EPSG:900913:9 213 309 0 511 EPSG:900913:10 427 618 0 1023 EPSG:900913:11 854 1237 0 2047 EPSG:900913:12 1709 2475 0 4095 EPSG:900913:13 3419 4951 0 8191 EPSG:900913:14 6839 9902 0 16383 EPSG:900913:15 13679 19805 0 32767 EPSG:900913:16 27358 39610 0 65534 EPSG:900913:17 54717 79220 0 131069 EPSG:900913:18 109435 158441 0 262139 EPSG:900913:19 218870 316883 1 524279 EPSG:900913:20 437740 633767 2 1048558 EPSG:900913:21 875480 1267535 5 2097117 EPSG:900913:22 1750960 2535070 11 4194234 EPSG:900913:23 3501921 5070140 23 8388468 EPSG:900913:24 7003843 10140281 46 16776936 EPSG:900913:25 14007687 20280563 93 33553872 EPSG:900913:26 28015374 40561127 186 67107745 EPSG:900913:27 56030749 81122254 372 134215491 EPSG:900913:28 112061498 162244508 745 268430982 EPSG:900913:29 224122997 324489017 1491 536861964 EPSG:900913:30 448245995 648978035 2982 1073723928 WSM_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -173.000138888889 -15.000138888888868 -170.99986111111124 -12.9998611111111 wsm:WSM_2019_Hillshade1arcsec_ASTERv3 text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 18 18 1 1 EPSG:4326:6 36 37 2 3 EPSG:4326:7 73 74 4 6 EPSG:4326:8 146 149 9 12 EPSG:4326:9 292 298 19 25 EPSG:4326:10 585 597 39 51 EPSG:4326:11 1171 1194 79 102 EPSG:4326:12 2343 2389 159 204 EPSG:4326:13 4687 4778 318 409 EPSG:4326:14 9375 9557 637 819 EPSG:4326:15 18750 19114 1274 1638 EPSG:4326:16 37501 38229 2548 3276 EPSG:4326:17 75002 76458 5097 6553 EPSG:4326:18 150004 152917 10194 13107 EPSG:4326:19 300008 305835 20388 26214 EPSG:4326:20 600017 611670 40777 52429 EPSG:4326:21 1200035 1223340 81554 104859 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 34 34 1 1 EPSG:900913:7 68 69 2 3 EPSG:900913:8 137 138 4 6 EPSG:900913:9 274 277 9 12 EPSG:900913:10 549 555 19 25 EPSG:900913:11 1098 1110 39 51 EPSG:900913:12 2197 2220 79 102 EPSG:900913:13 4394 4441 159 204 EPSG:900913:14 8788 8882 318 409 EPSG:900913:15 17577 17765 637 819 EPSG:900913:16 35155 35530 1274 1638 EPSG:900913:17 70310 71060 2548 3276 EPSG:900913:18 140620 142121 5097 6553 EPSG:900913:19 281240 284243 10194 13107 EPSG:900913:20 562481 568486 20388 26214 EPSG:900913:21 1124963 1136973 40777 52429 EPSG:900913:22 2249927 2273947 81554 104859 EPSG:900913:23 4499855 4547895 163108 209718 EPSG:900913:24 8999711 9095790 326217 419436 EPSG:900913:25 17999422 18191580 652434 838873 EPSG:900913:26 35998845 36383161 1304868 1677747 EPSG:900913:27 71997690 72766322 2609737 3355494 EPSG:900913:28 143995381 145532645 5219474 6710989 EPSG:900913:29 287990763 291065290 10438949 13421979 EPSG:900913:30 575981527 582130581 20877898 26843959 MHL_2020_ImageryMalolelapAurImagery_Sentinel2 This resource contains satellite imagery for Maloelap Atoll and Aur Atoll in the Marshall Islands. The imagery was collected on June 25, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200625T231241_N0209_R001_T59PMK_20200626T004801 S2A_MSIL1C_20200625T231241_N0209_R001_T59PNK_20200626T004801 170.08975609329622 8.05235960109292 171.9988573673643 9.046740686671825 mhl:MHL_2020_ImageryMalolelapAurImagery_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 31 31 EPSG:4326:5 14 14 62 62 EPSG:4326:6 28 29 124 125 EPSG:4326:7 57 58 248 250 EPSG:4326:8 115 116 497 500 EPSG:4326:9 230 233 995 1001 EPSG:4326:10 460 466 1991 2002 EPSG:4326:11 921 932 3983 4004 EPSG:4326:12 1842 1864 7966 8009 EPSG:4326:13 3684 3729 15932 16019 EPSG:4326:14 7368 7459 31865 32039 EPSG:4326:15 14737 14918 63731 64079 EPSG:4326:16 29474 29836 127463 128158 EPSG:4326:17 58948 59672 254927 256317 EPSG:4326:18 117896 119344 509855 512635 EPSG:4326:19 235793 238689 1019710 1025270 EPSG:4326:20 471586 477379 2039420 2050541 EPSG:4326:21 943173 954759 4078841 4101083 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 31 31 EPSG:900913:6 30 30 62 62 EPSG:900913:7 60 61 124 125 EPSG:900913:8 121 122 248 250 EPSG:900913:9 243 244 497 500 EPSG:900913:10 486 489 995 1001 EPSG:900913:11 972 978 1991 2002 EPSG:900913:12 1944 1956 3983 4004 EPSG:900913:13 3889 3912 7966 8009 EPSG:900913:14 7778 7824 15932 16019 EPSG:900913:15 15557 15648 31865 32039 EPSG:900913:16 31114 31297 63731 64079 EPSG:900913:17 62228 62594 127463 128158 EPSG:900913:18 124456 125189 254927 256317 EPSG:900913:19 248913 250378 509855 512635 EPSG:900913:20 497827 500756 1019710 1025270 EPSG:900913:21 995654 1001512 2039420 2050541 EPSG:900913:22 1991309 2003024 4078841 4101083 EPSG:900913:23 3982618 4006049 8157682 8202167 EPSG:900913:24 7965236 8012099 16315365 16404335 EPSG:900913:25 15930472 16024198 32630730 32808671 EPSG:900913:26 31860945 32048397 65261460 65617342 EPSG:900913:27 63721891 64096794 130522921 131234685 EPSG:900913:28 127443783 128193589 261045842 262469371 EPSG:900913:29 254887567 256387179 522091685 524938743 EPSG:900913:30 509775134 512774358 1044183370 1049877486 Global_2015_PopulationDensity30sec_GPWv4 The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research communities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions. -180.0 -90.0 180.0 90.0 global:Global_2015_PopulationDensity30sec_GPWv4 text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 TUV_2020_ImageryNiutaoNiu_Sentinel2 This resource contains satellite imagery for Tuvalu. The imagery was collected on July 20, 2020, September 21, 2020, and October 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200921T223641_N0214_R115_T60MVU_20200922T002114 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAK_20200721T002156 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAJ_20200721T002156 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWU_20201012T002111 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWT_20201012T002111 S2A_MSIL2A_20200921T223641_N0214_R115_T60MUU_20200922T002114 176.9717299700276 -7.315548804437126 178.28389620157915 -6.05614412757294 tuv:TUV_2020_ImageryNiutaoNiu_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 31 31 EPSG:4326:5 17 17 63 63 EPSG:4326:6 34 34 126 127 EPSG:4326:7 68 69 253 254 EPSG:4326:8 136 138 507 509 EPSG:4326:9 273 276 1015 1019 EPSG:4326:10 546 553 2030 2038 EPSG:4326:11 1092 1107 4061 4076 EPSG:4326:12 2185 2214 8123 8152 EPSG:4326:13 4371 4428 16246 16305 EPSG:4326:14 8743 8857 32492 32611 EPSG:4326:15 17486 17715 64984 65223 EPSG:4326:16 34972 35431 129969 130447 EPSG:4326:17 69945 70863 259938 260894 EPSG:4326:18 139891 141726 519877 521788 EPSG:4326:19 279783 283452 1039755 1043577 EPSG:4326:20 559567 566904 2079511 2087154 EPSG:4326:21 1119135 1133808 4159022 4174309 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 31 31 EPSG:900913:6 33 33 63 63 EPSG:900913:7 66 66 126 127 EPSG:900913:8 132 133 253 254 EPSG:900913:9 264 266 507 509 EPSG:900913:10 529 532 1015 1019 EPSG:900913:11 1058 1065 2030 2038 EPSG:900913:12 2117 2131 4061 4076 EPSG:900913:13 4234 4262 8123 8152 EPSG:900913:14 8468 8525 16246 16305 EPSG:900913:15 16936 17051 32492 32611 EPSG:900913:16 33872 34103 64984 65223 EPSG:900913:17 67745 68206 129969 130447 EPSG:900913:18 135490 136413 259938 260894 EPSG:900913:19 270980 272827 519877 521788 EPSG:900913:20 541960 545654 1039755 1043577 EPSG:900913:21 1083921 1091308 2079511 2087154 EPSG:900913:22 2167842 2182616 4159022 4174309 EPSG:900913:23 4335685 4365233 8318044 8348619 EPSG:900913:24 8671371 8730467 16636088 16697239 EPSG:900913:25 17342743 17460934 33272176 33394479 EPSG:900913:26 34685487 34921869 66544353 66788959 EPSG:900913:27 69370974 69843739 133088707 133577918 EPSG:900913:28 138741948 139687478 266177414 267155836 EPSG:900913:29 277483897 279374956 532354828 534311672 EPSG:900913:30 554967794 558749913 1064709656 1068623345 Global_2000-2014_SurfaceSilicateMean_BioOracle2 Raster data representing the mean levels of silicate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceSilicateMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 TUV_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -180.0 -9.000425057536336 180.0 4.000095118593062 tuv:TUV_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 3 4 0 15 EPSG:4326:4 7 8 0 31 EPSG:4326:5 15 17 0 63 EPSG:4326:6 30 35 0 127 EPSG:4326:7 61 70 0 255 EPSG:4326:8 122 140 0 511 EPSG:4326:9 244 281 0 1023 EPSG:4326:10 489 563 0 2047 EPSG:4326:11 978 1126 0 4095 EPSG:4326:12 1956 2252 0 8191 EPSG:4326:13 3913 4505 0 16383 EPSG:4326:14 7827 9011 0 32767 EPSG:4326:15 15655 18022 0 65535 EPSG:4326:16 31311 36044 0 131071 EPSG:4326:17 62623 72089 0 262143 EPSG:4326:18 125246 144179 0 524287 EPSG:4326:19 250492 288359 0 1048575 EPSG:4326:20 500985 576719 0 2097151 EPSG:4326:21 1001971 1153438 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 7 8 0 15 EPSG:900913:5 15 16 0 31 EPSG:900913:6 31 33 0 63 EPSG:900913:7 62 67 0 127 EPSG:900913:8 125 134 0 255 EPSG:900913:9 250 268 0 510 EPSG:900913:10 500 537 0 1020 EPSG:900913:11 1001 1075 0 2040 EPSG:900913:12 2002 2150 0 4080 EPSG:900913:13 4004 4301 0 8161 EPSG:900913:14 8009 8603 0 16323 EPSG:900913:15 16019 17206 0 32646 EPSG:900913:16 32039 34413 0 65293 EPSG:900913:17 64078 68826 0 130586 EPSG:900913:18 128156 137653 0 261173 EPSG:900913:19 256313 275306 0 522346 EPSG:900913:20 512627 550612 0 1044692 EPSG:900913:21 1025254 1101224 0 2089385 EPSG:900913:22 2050509 2202448 1 4178770 EPSG:900913:23 4101019 4404897 2 8357540 EPSG:900913:24 8202038 8809794 4 16715080 EPSG:900913:25 16404076 17619588 9 33430161 EPSG:900913:26 32808153 35239176 18 66860323 EPSG:900913:27 65616307 70478352 36 133720647 EPSG:900913:28 131232614 140956704 73 267441294 EPSG:900913:29 262465229 281913408 146 534882589 EPSG:900913:30 524930459 563826816 293 1069765178 Pacific_2010-2014_EarthquakeMag4.5_USGS Earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2010-2014. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks. Fields are defined below: alert Data Type: String Typical Values: “green”, “yellow”, “orange”, “red”. Description: The alert level from the PAGER earthquake impact scale. cdi Data Type: Decimal Typical Values: [0.0, 10.0] Description: The maximum reported intensity for the event. Computed by DYFI. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. code Data Type: String Typical Values: "2013lgaz", "c000f1jy", "71935551" Description: An identifying code assigned by - and unique from - the corresponding source for the event. Depth Data Type: Decimal Typical Values: [0, 1000] Description: Depth of the event in kilometers. Additional Information: The depth where the earthquake begins to rupture. This depth may be relative to the WGS84 geoid, mean sea-level, or the average elevation of the seismic stations which provided arrival-time data for the earthquake location. The choice of reference depth is dependent on the method used to locate the earthquake, which varies by seismic network. Since ComCat includes data from many different seismic networks, the process for determining the depth is different for different events. The depth is the least-constrained parameter in the earthquake location, and the error bars are generally larger than the variation due to different depth determination methods. Sometimes when depth is poorly constrained by available seismic data, the location program will set the depth at a fixed value. For example, 33 km is often used as a default depth for earthquakes determined to be shallow, but whose depth is not satisfactorily determined by the data, whereas default depths of 5 or 10 km are often used in mid-continental areas and on mid-ocean ridges since earthquakes in these areas are usually shallower than 33 km. depthError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported depth of the event in kilometers. Additional Information: The depth error, in km, defined as the largest projection of the three principal errors on a vertical line. detail Data Type: String Description: Link to GeoJSON detail feed from a GeoJSON summary feed. NOTE: When searching and using geojson with callback, no callback is included in the detail url. dmin Data Type: Decimal Typical Values: [0.4, 7.1] Description: Horizontal distance from the epicenter to the nearest station (in degrees). 1 degree is approximately 111.2 kilometers. In general, the smaller this number, the more reliable is the calculated depth of the earthquake. felt Data Type: Integer Typical Values: [44, 843] Description: The total number of felt reports submitted to the DYFI? system. gap Data Type: Decimal Typical Values: [0.0, 180.0] Description: The largest azimuthal gap between azimuthally adjacent stations (in degrees). In general, the smaller this number, the more reliable is the calculated horizontal position of the earthquake. Earthquake locations in which the azimuthal gap exceeds 180 degrees typically have large location and depth uncertainties. horizontalError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported location of the event in kilometers. Additional Information: The horizontal location error, in km, defined as the length of the largest projection of the three principal errors on a horizontal plane. The principal errors are the major axes of the error ellipsoid, and are mutually perpendicular. The horizontal and vertical uncertainties in an event's location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. id Data Type: String Typical Values: A (generally) two-character network identifier with a (generally) eight-character network-assigned code. Description: A unique identifier for the event. This is the current preferred id for the event, and may change over time. See the "ids" GeoJSON format property. ids Data Type: String Typical Values: ",ci15296281,us2013mqbd,at00mji9pf," Description: A comma-separated list of event ids that are associated to an event. latitude Data Type: Decimal Typical Values: [-90.0, 90.0] Description: Decimal degrees latitude. Negative values for southern latitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. locationSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The network that originally authored the reported location of this event. longitude Data Type: Decimal Typical Values: [-180.0, 180.0] Description: Decimal degrees longitude. Negative values for western longitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. mag Data Type: Decimal Typical Values: [-1.0, 10.0] Description: The magnitude for the event. See also magType. Additional Information: The magnitude reported is that which the U.S. Geological Survey considers official for this earthquake, and was the best available estimate of the earthquake’s size, at the time that this page was created. Other magnitudes associated with web pages linked from here are those determined at various times following the earthquake with different types of seismic data. Although they are legitimate estimates of magnitude, the U.S. Geological Survey does not consider them to be the preferred "official" magnitude for the event. Earthquake magnitude is a measure of the size of an earthquake at its source. It is a logarithmic measure. At the same distance from the earthquake, the amplitude of the seismic waves from which the magnitude is determined are approximately 10 times as large during a magnitude 5 earthquake as during a magnitude 4 earthquake. The total amount of energy released by the earthquake usually goes up by a larger factor: for many commonly used magnitude types, the total energy of an average earthquake goes up by a factor of approximately 32 for each unit increase in magnitude. There are various ways that magnitude may be calculated from seismograms. Different methods are effective for different sizes of earthquakes and different distances between the earthquake source and the recording station. The various magnitude types are generally defined so as to yield magnitude values that agree to within a few-tenths of a magnitude-unit for earthquakes in a middle range of recorded-earthquake sizes, but the various magnitude-types may have values that differ by more than a magnitude-unit for very large and very small earthquakes as well as for some specific classes of seismic source. This is because earthquakes are commonly complex events that release energy over a wide range of frequencies and at varying amounts as the faulting or rupture process occurs. The various types of magnitude measure different aspects of the seismic radiation (e.g., low-frequency energy vs. high-frequency energy). The relationship among values of different magnitude types that are assigned to a particular seismic event may enable the seismologist to better understand the processes at the focus of the seismic event. The various magnitude-types are not all available at the same time for a particular earthquake. Preliminary magnitudes based on incomplete but rapidly-available data are sometimes estimated and reported. For example, the Tsunami Warning Centers will calculate a preliminary magnitude and location for an event as soon as sufficient data are available to make an estimate. In this case, time is of the essence in order to broadcast a warning if tsunami waves are likely to be generated by the event. Such preliminary magnitudes are superseded by improved estimates of magnitude as more data become available. For large earthquakes of the present era, the magnitude that is ultimately selected as the preferred magnitude for reporting to the public is commonly a moment magnitude that is based on the scalar seismic-moment of an earthquake determined by calculation of the seismic moment-tensor that best accounts for the character of the seismic waves generated by the earthquake. The scalar seismic-moment, a parameter of the seismic moment-tensor, can also be estimated via the multiplicative product rigidity of faulted rock x area of fault rupture x average fault displacement during the earthquake. magError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported magnitude of the event. The estimated standard error of the magnitude. The uncertainty corresponds to the specific magnitude type being reported and does not take into account magnitude variations and biases between different magnitude scales. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. magNst Data Type: Integer Description: The total number of seismic stations used to calculate the magnitude for this earthquake. magSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: Network that originally authored the reported magnitude for this event. magType Data Type: String Typical Values: “Md”, “Ml”, “Ms”, “Mw”, “Me”, “Mi”, “Mb”, “MLg” Description: The method or algorithm used to calculate the preferred magnitude for the event. Additional Information: See Magnitude Types Table. mmi Data Type: Decimal Typical Values:[0.0, 10.0] Description: The maximum estimated instrumental intensity for the event. Computed by ShakeMap. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. net Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event. nph Data Type: String Description: Number of Phases Used. Number of P and S arrival-time observations used to compute the hypocenter location. Increased numbers of arrival-time observations generally result in improved earthquake locations. nst Data Type: Integer Description: The total number of seismic stations used to determine earthquake location. Additional Information: Number of seismic stations which reported P- and S-arrival times for this earthquake. This number may be larger than the Number of Phases Used if arrival times are rejected because the distance to a seismic station exceeds the maximum allowable distance or because the arrival-time observation is inconsistent with the solution. place Data Type: String Description: Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name. Additional Information: We use a GeoNames dataset to reference populated places that are in close proximity to a seismic event. GeoNames has compiled a list of cities in the United States where the population is 1,000 or greater (cities1000.txt). This is the primary list that we use when selecting nearby places. In order to provide the public with a better understanding for the location of an event we try to list a variety of places in our nearby places list. This includes the closest known populated place in relation to the seismic event (which based on our dataset will have a population of 1,000 or greater). We also include the next 3 closest places that have a population of 10,000 or greater, and finally make sure to include the closest capital city to the seismic event. The reference point for the descriptive locations is usually either the City Hall of the town (or prominent intersection in the middle of town if there is no City Hall), but please refer to the GeoNames website for the most accurate information on their data. If there is no nearby city within 300 kilometers (or if the nearby cities database is unavailable for some reason), the Flinn-Engdahl (F-E) seismic and geographical regionalization scheme is used. The boundaries of these regions are defined at one-degree intervals and therefore differ from irregular political boundaries. For example, F-E region 545 (Northern Italy) also includes small parts of France, Switzerland, Austria and Slovenia and F-E region 493 (Chesapeake Bay Region) includes all of the State of Delaware, plus parts of the District of Columbia, Maryland, New Jersey, Pennsylvania and Virginia. Beginning with January 2000, the 1995 revision to the F-E code has been used in the QED and PDE listings. As an agency of the U.S. Government, we are expected to use the names and spellings approved by the U.S. Board on Geographic Names. Any requests to approve additional names should be made to the U.S. Board on Geographic Names. rms Data Type: Decimal Typical Values: [0.13,1.39] Description: The root-mean-square (RMS) travel time residual, in sec, using all weights. This parameter provides a measure of the fit of the observed arrival times to the predicted arrival times for this location. Smaller numbers reflect a better fit of the data. The value is dependent on the accuracy of the velocity model used to compute the earthquake location, the quality weights assigned to the arrival time data, and the procedure used to locate the earthquake. sig Data Type: Integer Typical Values: [0, 1000] Description: A number describing how significant the event is. Larger numbers indicate a more significant event. This value is determined on a number of factors, including: magnitude, maximum MMI, felt reports, and estimated impact. sources Data Type: String Typical Values: ",us,nc,ci," Description: A comma-separated list of network contributors. status Data Type: String Typical Values: “automatic”, “reviewed”, “deleted” Description: Indicates whether the event has been reviewed by a human. Additional Information Status is either automatic or reviewed. Automatic events are directly posted by automatic processing systems and have not been verified or altered by a human. Reviewed events have been looked at by a human. The level of review can range from a quick validity check to a careful reanalysis of the event. time Data Type: Long Integer Description: Time when the event occurred. Times are reported in milliseconds since the epoch ( 1970-01-01T00:00:00.000Z), and do not include leap seconds. In certain output formats, the date is formatted for readability. Additional Information: We indicate the date and time when the earthquake initiates rupture, which is known as the "origin" time. Note that large earthquakes can continue rupturing for many 10's of seconds. We provide time in UTC (Coordinated Universal Time). Seismologists use UTC to avoid confusion caused by local time zones and daylight savings time. On the individual event pages, times are also provided for the time at the epicenter, and your local time based on the time your computer is set. tsunami Data Type: Integer Description: This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist. If the flag value is "1", the event will include a link to the NOAA Tsunami website for tsunami information. The USGS is not responsible for Tsunami warning; we are simply providing a link to the authoritative NOAA source. See http://www.tsunami.gov/ for all current tsunami alert statuses. type Data Type: String Typical Values: “earthquake”, “quarry” Description: Type of seismic event. types Data Type: String Typical Values: “,cap,dyfi,general-link,origin,p-wave-travel-times,phase-data,” Description: A comma-separated list of product types associated to this event. tz Data Type: Integer Typical Values: [-1200, +1200] Description: Timezone offset from UTC in minutes at the event epicenter. updated Data Type: Long Integer Description: Time when the event was most recently updated. Times are reported in milliseconds since the epoch. In certain output formats, the date is formatted for readability. url Data Type: String Description: Link to USGS Event Page for event. -179.9972 -35.1536 179.9975 28.441 pacific:Pacific_2010-2014_EarthquakeMag4.5_USGS image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 2 5 0 15 EPSG:4326:4 5 11 0 31 EPSG:4326:5 10 22 0 63 EPSG:4326:6 21 44 0 127 EPSG:4326:7 43 88 0 255 EPSG:4326:8 87 177 0 511 EPSG:4326:9 175 355 0 1023 EPSG:4326:10 350 711 0 2047 EPSG:4326:11 700 1423 0 4095 EPSG:4326:12 1400 2847 0 8191 EPSG:4326:13 2801 5695 0 16383 EPSG:4326:14 5603 11391 0 32767 EPSG:4326:15 11206 22783 0 65535 EPSG:4326:16 22412 45567 1 131071 EPSG:4326:17 44825 91134 2 262142 EPSG:4326:18 89651 182268 4 524284 EPSG:4326:19 179303 364536 8 1048568 EPSG:4326:20 358607 729072 16 2097137 EPSG:4326:21 717214 1458145 32 4194274 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 6 9 0 15 EPSG:900913:5 13 19 0 31 EPSG:900913:6 26 38 0 63 EPSG:900913:7 53 77 0 127 EPSG:900913:8 106 154 0 255 EPSG:900913:9 213 309 0 511 EPSG:900913:10 427 618 0 1023 EPSG:900913:11 855 1237 0 2047 EPSG:900913:12 1710 2475 0 4095 EPSG:900913:13 3420 4951 0 8191 EPSG:900913:14 6840 9902 0 16383 EPSG:900913:15 13681 19805 0 32767 EPSG:900913:16 27363 39611 0 65535 EPSG:900913:17 54727 79222 1 131071 EPSG:900913:18 109454 158445 2 262142 EPSG:900913:19 218909 316891 4 524284 EPSG:900913:20 437819 633783 8 1048568 EPSG:900913:21 875639 1267567 16 2097137 EPSG:900913:22 1751278 2535135 32 4194274 EPSG:900913:23 3502557 5070271 65 8388549 EPSG:900913:24 7005115 10140543 130 16777099 EPSG:900913:25 14010231 20281087 260 33554198 EPSG:900913:26 28020463 40562175 521 67108397 EPSG:900913:27 56040926 81124351 1043 134216795 EPSG:900913:28 112081853 162248703 2087 268433591 EPSG:900913:29 224163706 324497407 4175 536867183 EPSG:900913:30 448327413 648994815 8351 1073734367 Global_2013_Fans_BlueHabitats Global distribution of fan seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -176.52427546579818 -76.42115940356986 179.96162990770168 84.56918262932129 global:Global_2013_Fans_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 1 59 1 127 EPSG:4326:7 3 118 2 255 EPSG:4326:8 7 236 4 511 EPSG:4326:9 15 473 9 1023 EPSG:4326:10 30 946 19 2047 EPSG:4326:11 61 1893 39 4095 EPSG:4326:12 123 3787 79 8191 EPSG:4326:13 247 7574 158 16382 EPSG:4326:14 494 15148 316 32764 EPSG:4326:15 988 30296 632 65529 EPSG:4326:16 1977 60592 1265 131058 EPSG:4326:17 3954 121184 2530 262116 EPSG:4326:18 7909 242368 5061 524232 EPSG:4326:19 15818 484736 10123 1048464 EPSG:4326:20 31636 969473 20247 2096928 EPSG:4326:21 63273 1938947 40495 4193856 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 53 0 63 EPSG:900913:7 1 107 1 127 EPSG:900913:8 3 214 2 255 EPSG:900913:9 7 429 4 511 EPSG:900913:10 15 858 9 1023 EPSG:900913:11 30 1717 19 2047 EPSG:900913:12 60 3435 39 4095 EPSG:900913:13 121 6870 79 8191 EPSG:900913:14 242 13741 158 16382 EPSG:900913:15 485 27482 316 32764 EPSG:900913:16 970 54965 632 65529 EPSG:900913:17 1941 109931 1265 131058 EPSG:900913:18 3882 219862 2530 262116 EPSG:900913:19 7764 439724 5061 524232 EPSG:900913:20 15529 879449 10123 1048464 EPSG:900913:21 31059 1758898 20247 2096928 EPSG:900913:22 62119 3517796 40495 4193856 EPSG:900913:23 124239 7035593 80990 8387713 EPSG:900913:24 248479 14071186 161980 16775427 EPSG:900913:25 496958 28142372 323961 33550855 EPSG:900913:26 993917 56284744 647922 67101711 EPSG:900913:27 1987834 112569488 1295844 134203422 EPSG:900913:28 3975668 225138977 2591688 268406845 EPSG:900913:29 7951337 450277955 5183376 536813690 EPSG:900913:30 15902675 900555910 10366752 1073627380 MHL_2020_ImageryMajuroArno_Sentinel2 This resource contains satellite imagery for Majuro Atoll and Arno Atoll in the Marshall Islands. The imagery was collected on January 28, May 18, June 25, and July 17, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200128T233249_N0208_R087_T58PET_20200130T192210 S2B_MSIL1C_20200518T230339_N0209_R101_T59NNH_20200519T002105 S2A_MSIL1C_20200625T231241_N0209_R001_T59NMH_20200626T004801 S2A_MSIL1C_20200625T231241_N0209_R001_T59NNH_20200626T004801 S2B_MSIL1C_20200717T230339_N0209_R101_T59NNJ_20200718T001945 170.73962108817452 6.809064541943613 172.02233703319243 7.614770306777068 mhl:MHL_2020_ImageryMajuroArno_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 31 31 EPSG:4326:5 14 14 62 62 EPSG:4326:6 29 29 124 125 EPSG:4326:7 58 59 249 250 EPSG:4326:8 117 118 498 500 EPSG:4326:9 234 236 997 1001 EPSG:4326:10 468 473 1995 2002 EPSG:4326:11 937 946 3990 4005 EPSG:4326:12 1874 1893 7981 8010 EPSG:4326:13 3749 3786 15962 16020 EPSG:4326:14 7498 7572 31925 32041 EPSG:4326:15 14997 15144 63850 64083 EPSG:4326:16 29995 30288 127700 128167 EPSG:4326:17 59991 60577 255400 256334 EPSG:4326:18 119982 121155 510801 512669 EPSG:4326:19 239964 242311 1021603 1025339 EPSG:4326:20 479928 484622 2043206 2050678 EPSG:4326:21 959857 969244 4086412 4101357 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 31 31 EPSG:900913:6 30 30 62 62 EPSG:900913:7 61 61 124 125 EPSG:900913:8 122 123 249 250 EPSG:900913:9 245 246 498 500 EPSG:900913:10 490 492 997 1001 EPSG:900913:11 980 985 1995 2002 EPSG:900913:12 1961 1970 3990 4005 EPSG:900913:13 3922 3940 7981 8010 EPSG:900913:14 7844 7881 15962 16020 EPSG:900913:15 15688 15762 31925 32041 EPSG:900913:16 31377 31525 63850 64083 EPSG:900913:17 62755 63051 127700 128167 EPSG:900913:18 125510 126102 255400 256334 EPSG:900913:19 251021 252204 510801 512669 EPSG:900913:20 502042 504408 1021603 1025339 EPSG:900913:21 1004085 1008816 2043206 2050678 EPSG:900913:22 2008171 2017633 4086412 4101357 EPSG:900913:23 4016342 4035266 8172825 8202714 EPSG:900913:24 8032684 8070533 16345651 16405429 EPSG:900913:25 16065369 16141066 32691302 32810859 EPSG:900913:26 32130738 32282132 65382604 65621719 EPSG:900913:27 64261477 64564264 130765208 131243439 EPSG:900913:28 128522954 129128528 261530417 262486879 EPSG:900913:29 257045908 258257056 523060834 524973758 EPSG:900913:30 514091817 516514112 1046121668 1049947517 MHL_2020_ImageryBikini_Sentinel2 This resource contains satellite imagery for Bikini Island. The imagery was collected on January 28, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200128T233249_N0208_R087_T58PET_20200130T192210 164.99981643701017 10.76540463017321 166.00752284452162 11.760044027808236 mhl:MHL_2020_ImageryBikini_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 30 30 EPSG:4326:5 13 14 61 61 EPSG:4326:6 27 28 122 123 EPSG:4326:7 55 56 245 246 EPSG:4326:8 111 112 490 492 EPSG:4326:9 222 225 981 984 EPSG:4326:10 445 450 1962 1968 EPSG:4326:11 890 901 3925 3936 EPSG:4326:12 1780 1803 7850 7873 EPSG:4326:13 3560 3606 15701 15747 EPSG:4326:14 7121 7212 31402 31494 EPSG:4326:15 14243 14424 62805 62988 EPSG:4326:16 28486 28848 125610 125977 EPSG:4326:17 56972 57696 251221 251954 EPSG:4326:18 113945 115393 502442 503909 EPSG:4326:19 227890 230787 1004884 1007819 EPSG:4326:20 455780 461574 2009769 2015639 EPSG:4326:21 911561 923149 4019539 4031279 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 30 30 EPSG:900913:6 29 30 61 61 EPSG:900913:7 59 60 122 123 EPSG:900913:8 119 120 245 246 EPSG:900913:9 239 240 490 492 EPSG:900913:10 478 481 981 984 EPSG:900913:11 956 962 1962 1968 EPSG:900913:12 1913 1924 3925 3936 EPSG:900913:13 3826 3849 7850 7873 EPSG:900913:14 7652 7699 15701 15747 EPSG:900913:15 15305 15398 31402 31494 EPSG:900913:16 30611 30796 62805 62988 EPSG:900913:17 61223 61593 125610 125977 EPSG:900913:18 122447 123186 251221 251954 EPSG:900913:19 244895 246372 502442 503909 EPSG:900913:20 489791 492745 1004884 1007819 EPSG:900913:21 979582 985490 2009769 2015639 EPSG:900913:22 1959165 1970981 4019539 4031279 EPSG:900913:23 3918330 3941962 8039078 8062559 EPSG:900913:24 7836661 7883925 16078156 16125119 EPSG:900913:25 15673322 15767850 32156313 32250238 EPSG:900913:26 31346644 31535701 64312627 64500477 EPSG:900913:27 62693288 63071403 128625254 129000954 EPSG:900913:28 125386577 126142807 257250508 258001908 EPSG:900913:29 250773154 252285615 514501016 516003817 EPSG:900913:30 501546309 504571231 1029002033 1032007635 PNG_2018-2020_Imagery_Landsat8 This resource contains 30-meter resolution satellite imagery for Papua New Guinea. The imagery was collected during the years 2018-2020 from the Landsat-8 satellite. Images were selected for their visibility, however there is cloud cover present in the final images due to the size of Papua New Guinea and availability of datasets. This imagery should be used for guidance only and cited as "Landsat-8 image courtesy of the U.S. Geological Survey" if used in any presentations or other work. The image was mosaicked from the following individual Landsat-8 scenes: LC08_L1GT_090068_20191231_20200101_01_RT_B4 LC08_L1GT_091067_20200224_20200225_01_RT_B4 LC08_L1GT_093065_20200223_20200223_01_RT_B4 LC08_L1GT_096063_20200822_20200822_01_RT_B4 LC08_L1TP_090064_20190302_20190309_01_T1_B4 LC08_L1TP_090065_20200624_20200707_01_T1_B4 LC08_L1TP_091063_20181203_20181204_01_RT_B4 LC08_L1TP_091064_20200802_20200807_01_T1_B4 LC08_L1TP_091065_20180829_20180911_01_T1_B4 LC08_L1TP_091066_20200428_20200509_01_T1_B4 LC08_L1TP_091068_20181203_20181211_01_T1_B4 LC08_L1TP_092062_20200910_20200911_01_RT_B4 LC08_L1TP_092063_20190228_20190309_01_T1_B4 LC08_L1TP_092066_20191127_20191203_01_T1_B4 LC08_L1TP_092067_20200302_20200314_01_T1_B4 LC08_L1TP_092068_20201012_20201013_01_RT_B4 LC08_L1TP_093062_20180928_20181009_01_T1_B4 LC08_L1TP_093063_20180929_20181009_01_T1_B4 LC08_L1TP_093064_20180217_20180307_01_T1_B4 LC08_L1TP_093066_20200223_20200225_01_T1_B4 LC08_L1TP_093067_20190511_20190521_01_T1_B4 LC08_L1TP_093068_20200223_20200225_01_T1_B4 LC08_L1TP_094062_20200605_20200608_01_T1_B4 LC08_L1TP_094063_20191126_20191203_01_T1_B4 LC08_L1TP_094064_20200418_20200423_01_T1_B4 LC08_L1TP_094065_20200418_20200423_01_T1_B4 LC08_L1TP_094066_20200418_20200423_01_T1_B4 LC08_L1TP_094067_20181006_20181010_01_T1_B4 LC08_L1TP_095061_20200409_20200409_01_RT_B4 LC08_L1TP_095062_20191203_20191216_01_T1_B4 LC08_L1TP_095063_20190914_20190914_01_RT_B4 LC08_L1TP_095064_20191203_20191216_01_T1_B4 LC08_L1TP_095065_20191203_20191216_01_T1_B4 LC08_L1TP_095066_20190218_20190222_01_T1_B4 LC08_L1TP_095067_20180810_20180815_01_T1_B4 LC08_L1TP_096061_20191210_20191210_01_RT_B4 LC08_L1TP_096062_20190209_20190221_01_T1_B4 LC08_L1TP_096064_20191124_20191203_01_T1_B4 LC08_L1TP_096065_20191124_20191203_01_T1_B4 LC08_L1TP_096066_20191124_20191203_01_T1_B4 LC08_L1TP_096067_20191124_20191203_01_T1_B4 LC08_L1TP_097061_20180621_20180703_01_T1_B4 LC08_L1TP_097062_20180621_20180703_01_T1_B4 LC08_L1TP_097063_20190912_20190917_01_T1_B4 LC08_L1TP_097064_20180723_20180731_01_T1_B4 LC08_L1TP_097065_20181214_20181227_01_T1_B4 LC08_L1TP_097066_20181214_20181227_01_T1_B4 LC08_L1TP_098061_20200125_20200125_01_RT_B4 LC08_L1TP_098062_20190327_20190404_01_T1_B4 LC08_L1TP_098063_20200703_20200708_01_T1_B4 LC08_L1TP_098064_20191208_20191217_01_T1_B4 LC08_L1TP_098065_20180204_20180220_01_T1_B4 LC08_L1TP_098066_20180204_20180220_01_T1_B4 LC08_L1TP_098067_20200820_20200904_01_T1_B4 LC08_L1TP_099061_20200608_20200625_01_T1_B4 LC08_L1TP_099062_20200710_20200721_01_T1_B4 LC08_L1TP_099063_20200710_20200721_01_T1_B4 LC08_L1TP_099064_20200304_20200314_01_T1_B4 LC08_L1TP_099065_20200304_20200314_01_T1_B4 LC08_L1TP_099066_20200405_20200410_01_T1_B4 LC08_L1TP_099067_20200912_20200919_01_T1_B4 LC08_L1TP_100061_20200818_20200823_01_T1_B4 LC08_L1TP_100062_20191019_20191029_01_T1_B4 LC08_L1TP_100063_20191019_20191029_01_T1_B4 LC08_L1TP_100064_20200123_20200128_01_T1_B4 LC08_L1TP_100065_20200818_20200823_01_T1_B4 LC08_L1TP_100066_20180813_20180828_01_T1_B4 140.60039980044704 -12.118261687847301 156.877472616221 -0.8656325134122322 png:PNG_2018-2020_Imagery_Landsat8 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 14 14 EPSG:4326:4 8 9 28 29 EPSG:4326:5 16 18 56 59 EPSG:4326:6 32 36 113 119 EPSG:4326:7 64 72 227 239 EPSG:4326:8 129 145 455 479 EPSG:4326:9 258 290 911 958 EPSG:4326:10 516 580 1823 1916 EPSG:4326:11 1033 1161 3647 3832 EPSG:4326:12 2067 2323 7295 7665 EPSG:4326:13 4135 4647 14590 15331 EPSG:4326:14 8270 9295 29181 30663 EPSG:4326:15 16541 18590 58363 61326 EPSG:4326:16 33083 37180 116727 122653 EPSG:4326:17 66166 74360 233454 245306 EPSG:4326:18 132332 148720 466908 490613 EPSG:4326:19 264665 297440 933816 981226 EPSG:4326:20 529330 594881 1867632 1962453 EPSG:4326:21 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62798512 EPSG:900913:27 67431607 71660945 119528492 125597024 EPSG:900913:28 134863214 143321891 239056984 251194049 EPSG:900913:29 269726429 286643782 478113969 502388099 EPSG:900913:30 539452859 573287565 956227939 1004776199 FJI_2020_ImageryKadavu_Sentinel2 This resource contains satellite imagery for Kadavu in Fiji. The imagery was collected on February 23, March 14, and August 14, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20200223T221939_N0214_R029_T60KXD_20200224T000431 S2B_MSIL2A_20200314T221939_N0214_R029_T60KXE_20200315T002807 S2B_MSIL2A_20200814T223009_N0214_R072_T60KWD_20200814T235803 177.8533159928529 -19.231196050724567 178.69494329254127 -18.565705700998894 fji:FJI_2020_ImageryKadavu_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 31 31 EPSG:4326:5 19 19 63 63 EPSG:4326:6 38 38 127 127 EPSG:4326:7 77 77 254 255 EPSG:4326:8 154 155 508 510 EPSG:4326:9 308 310 1017 1020 EPSG:4326:10 617 621 2035 2040 EPSG:4326:11 1235 1242 4071 4081 EPSG:4326:12 2470 2485 8143 8162 EPSG:4326:13 4940 4971 16286 16324 EPSG:4326:14 9881 9942 32572 32649 EPSG:4326:15 19763 19884 65145 65298 EPSG:4326:16 39527 39769 130290 130596 EPSG:4326:17 79055 79539 260580 261193 EPSG:4326:18 158110 159079 521161 522387 EPSG:4326:19 316220 318158 1042323 1044774 EPSG:4326:20 632441 636317 2084646 2089549 EPSG:4326:21 1264882 1272635 4169293 4179098 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 31 31 EPSG:900913:6 35 35 63 63 EPSG:900913:7 70 70 127 127 EPSG:900913:8 141 141 254 255 EPSG:900913:9 282 283 508 510 EPSG:900913:10 565 567 1017 1020 EPSG:900913:11 1131 1135 2035 2040 EPSG:900913:12 2263 2271 4071 4081 EPSG:900913:13 4526 4542 8143 8162 EPSG:900913:14 9052 9084 16286 16324 EPSG:900913:15 18104 18168 32572 32649 EPSG:900913:16 36208 36336 65145 65298 EPSG:900913:17 72417 72673 130290 130596 EPSG:900913:18 144834 145346 260580 261193 EPSG:900913:19 289668 290692 521161 522387 EPSG:900913:20 579336 581385 1042323 1044774 EPSG:900913:21 1158672 1162770 2084646 2089549 EPSG:900913:22 2317345 2325541 4169293 4179098 EPSG:900913:23 4634691 4651082 8338586 8358197 EPSG:900913:24 9269383 9302165 16677173 16716395 EPSG:900913:25 18538767 18604330 33354346 33432791 EPSG:900913:26 37077534 37208660 66708693 66865583 EPSG:900913:27 74155068 74417320 133417386 133731167 EPSG:900913:28 148310137 148834640 266834772 267462335 EPSG:900913:29 296620275 297669280 533669544 534924670 EPSG:900913:30 593240550 595338561 1067339089 1069849340 PNG_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 139.99986111111102 -12.000138888888836 157.00013888888876 1.388888888889E-4 png:PNG_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 3 3 EPSG:4326:2 1 2 7 7 EPSG:4326:3 3 4 14 14 EPSG:4326:4 7 9 28 29 EPSG:4326:5 15 18 56 59 EPSG:4326:6 31 36 113 119 EPSG:4326:7 63 72 227 239 EPSG:4326:8 127 145 455 479 EPSG:4326:9 255 290 910 958 EPSG:4326:10 511 580 1820 1917 EPSG:4326:11 1023 1160 3640 3834 EPSG:4326:12 2047 2321 7281 7668 EPSG:4326:13 4095 4642 14563 15337 EPSG:4326:14 8191 9284 29127 30674 EPSG:4326:15 16383 18568 58254 61349 EPSG:4326:16 32767 37137 116508 122698 EPSG:4326:17 65535 74274 233016 245396 EPSG:4326:18 131071 148548 466033 490792 EPSG:4326:19 262143 297096 932067 981584 EPSG:4326:20 524287 594193 1864134 1963168 EPSG:4326:21 1048574 1188387 3728268 3926336 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 3 3 EPSG:900913:3 3 4 7 7 EPSG:900913:4 7 8 14 14 EPSG:900913:5 15 17 28 29 EPSG:900913:6 31 34 56 59 EPSG:900913:7 63 68 113 119 EPSG:900913:8 127 136 227 239 EPSG:900913:9 255 273 455 479 EPSG:900913:10 511 546 910 958 EPSG:900913:11 1023 1092 1820 1917 EPSG:900913:12 2047 2185 3640 3834 EPSG:900913:13 4095 4371 7281 7668 EPSG:900913:14 8191 8742 14563 15337 EPSG:900913:15 16383 17484 29127 30674 EPSG:900913:16 32767 34968 58254 61349 EPSG:900913:17 65535 69937 116508 122698 EPSG:900913:18 131071 139874 233016 245396 EPSG:900913:19 262143 279749 466033 490792 EPSG:900913:20 524287 559499 932067 981584 EPSG:900913:21 1048575 1118998 1864134 1963168 EPSG:900913:22 2097150 2237997 3728268 3926336 EPSG:900913:23 4194300 4475994 7456537 7852672 EPSG:900913:24 8388601 8951989 14913074 15705344 EPSG:900913:25 16777203 17903978 29826148 31410689 EPSG:900913:26 33554406 35807956 59652297 62821379 EPSG:900913:27 67108812 71615912 119304595 125642758 EPSG:900913:28 134217624 143231825 238609190 251285516 EPSG:900913:29 268435248 286463650 477218381 502571033 EPSG:900913:30 536870497 572927300 954436762 1005142066 Pacific_2005-2009_EarthquakeMag4.5_USGS Earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2005-2009. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks. Fields are defined below: alert Data Type: String Typical Values: “green”, “yellow”, “orange”, “red”. Description: The alert level from the PAGER earthquake impact scale. cdi Data Type: Decimal Typical Values: [0.0, 10.0] Description: The maximum reported intensity for the event. Computed by DYFI. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. code Data Type: String Typical Values: "2013lgaz", "c000f1jy", "71935551" Description: An identifying code assigned by - and unique from - the corresponding source for the event. Depth Data Type: Decimal Typical Values: [0, 1000] Description: Depth of the event in kilometers. Additional Information: The depth where the earthquake begins to rupture. This depth may be relative to the WGS84 geoid, mean sea-level, or the average elevation of the seismic stations which provided arrival-time data for the earthquake location. The choice of reference depth is dependent on the method used to locate the earthquake, which varies by seismic network. Since ComCat includes data from many different seismic networks, the process for determining the depth is different for different events. The depth is the least-constrained parameter in the earthquake location, and the error bars are generally larger than the variation due to different depth determination methods. Sometimes when depth is poorly constrained by available seismic data, the location program will set the depth at a fixed value. For example, 33 km is often used as a default depth for earthquakes determined to be shallow, but whose depth is not satisfactorily determined by the data, whereas default depths of 5 or 10 km are often used in mid-continental areas and on mid-ocean ridges since earthquakes in these areas are usually shallower than 33 km. depthError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported depth of the event in kilometers. Additional Information: The depth error, in km, defined as the largest projection of the three principal errors on a vertical line. detail Data Type: String Description: Link to GeoJSON detail feed from a GeoJSON summary feed. NOTE: When searching and using geojson with callback, no callback is included in the detail url. dmin Data Type: Decimal Typical Values: [0.4, 7.1] Description: Horizontal distance from the epicenter to the nearest station (in degrees). 1 degree is approximately 111.2 kilometers. In general, the smaller this number, the more reliable is the calculated depth of the earthquake. felt Data Type: Integer Typical Values: [44, 843] Description: The total number of felt reports submitted to the DYFI? system. gap Data Type: Decimal Typical Values: [0.0, 180.0] Description: The largest azimuthal gap between azimuthally adjacent stations (in degrees). In general, the smaller this number, the more reliable is the calculated horizontal position of the earthquake. Earthquake locations in which the azimuthal gap exceeds 180 degrees typically have large location and depth uncertainties. horizontalError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported location of the event in kilometers. Additional Information: The horizontal location error, in km, defined as the length of the largest projection of the three principal errors on a horizontal plane. The principal errors are the major axes of the error ellipsoid, and are mutually perpendicular. The horizontal and vertical uncertainties in an event's location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. id Data Type: String Typical Values: A (generally) two-character network identifier with a (generally) eight-character network-assigned code. Description: A unique identifier for the event. This is the current preferred id for the event, and may change over time. See the "ids" GeoJSON format property. ids Data Type: String Typical Values: ",ci15296281,us2013mqbd,at00mji9pf," Description: A comma-separated list of event ids that are associated to an event. latitude Data Type: Decimal Typical Values: [-90.0, 90.0] Description: Decimal degrees latitude. Negative values for southern latitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. locationSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The network that originally authored the reported location of this event. longitude Data Type: Decimal Typical Values: [-180.0, 180.0] Description: Decimal degrees longitude. Negative values for western longitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. mag Data Type: Decimal Typical Values: [-1.0, 10.0] Description: The magnitude for the event. See also magType. Additional Information: The magnitude reported is that which the U.S. Geological Survey considers official for this earthquake, and was the best available estimate of the earthquake’s size, at the time that this page was created. Other magnitudes associated with web pages linked from here are those determined at various times following the earthquake with different types of seismic data. Although they are legitimate estimates of magnitude, the U.S. Geological Survey does not consider them to be the preferred "official" magnitude for the event. Earthquake magnitude is a measure of the size of an earthquake at its source. It is a logarithmic measure. At the same distance from the earthquake, the amplitude of the seismic waves from which the magnitude is determined are approximately 10 times as large during a magnitude 5 earthquake as during a magnitude 4 earthquake. The total amount of energy released by the earthquake usually goes up by a larger factor: for many commonly used magnitude types, the total energy of an average earthquake goes up by a factor of approximately 32 for each unit increase in magnitude. There are various ways that magnitude may be calculated from seismograms. Different methods are effective for different sizes of earthquakes and different distances between the earthquake source and the recording station. The various magnitude types are generally defined so as to yield magnitude values that agree to within a few-tenths of a magnitude-unit for earthquakes in a middle range of recorded-earthquake sizes, but the various magnitude-types may have values that differ by more than a magnitude-unit for very large and very small earthquakes as well as for some specific classes of seismic source. This is because earthquakes are commonly complex events that release energy over a wide range of frequencies and at varying amounts as the faulting or rupture process occurs. The various types of magnitude measure different aspects of the seismic radiation (e.g., low-frequency energy vs. high-frequency energy). The relationship among values of different magnitude types that are assigned to a particular seismic event may enable the seismologist to better understand the processes at the focus of the seismic event. The various magnitude-types are not all available at the same time for a particular earthquake. Preliminary magnitudes based on incomplete but rapidly-available data are sometimes estimated and reported. For example, the Tsunami Warning Centers will calculate a preliminary magnitude and location for an event as soon as sufficient data are available to make an estimate. In this case, time is of the essence in order to broadcast a warning if tsunami waves are likely to be generated by the event. Such preliminary magnitudes are superseded by improved estimates of magnitude as more data become available. For large earthquakes of the present era, the magnitude that is ultimately selected as the preferred magnitude for reporting to the public is commonly a moment magnitude that is based on the scalar seismic-moment of an earthquake determined by calculation of the seismic moment-tensor that best accounts for the character of the seismic waves generated by the earthquake. The scalar seismic-moment, a parameter of the seismic moment-tensor, can also be estimated via the multiplicative product rigidity of faulted rock x area of fault rupture x average fault displacement during the earthquake. magError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported magnitude of the event. The estimated standard error of the magnitude. The uncertainty corresponds to the specific magnitude type being reported and does not take into account magnitude variations and biases between different magnitude scales. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. magNst Data Type: Integer Description: The total number of seismic stations used to calculate the magnitude for this earthquake. magSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: Network that originally authored the reported magnitude for this event. magType Data Type: String Typical Values: “Md”, “Ml”, “Ms”, “Mw”, “Me”, “Mi”, “Mb”, “MLg” Description: The method or algorithm used to calculate the preferred magnitude for the event. Additional Information: See Magnitude Types Table. mmi Data Type: Decimal Typical Values:[0.0, 10.0] Description: The maximum estimated instrumental intensity for the event. Computed by ShakeMap. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. net Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event. nph Data Type: String Description: Number of Phases Used. Number of P and S arrival-time observations used to compute the hypocenter location. Increased numbers of arrival-time observations generally result in improved earthquake locations. nst Data Type: Integer Description: The total number of seismic stations used to determine earthquake location. Additional Information: Number of seismic stations which reported P- and S-arrival times for this earthquake. This number may be larger than the Number of Phases Used if arrival times are rejected because the distance to a seismic station exceeds the maximum allowable distance or because the arrival-time observation is inconsistent with the solution. place Data Type: String Description: Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name. Additional Information: We use a GeoNames dataset to reference populated places that are in close proximity to a seismic event. GeoNames has compiled a list of cities in the United States where the population is 1,000 or greater (cities1000.txt). This is the primary list that we use when selecting nearby places. In order to provide the public with a better understanding for the location of an event we try to list a variety of places in our nearby places list. This includes the closest known populated place in relation to the seismic event (which based on our dataset will have a population of 1,000 or greater). We also include the next 3 closest places that have a population of 10,000 or greater, and finally make sure to include the closest capital city to the seismic event. The reference point for the descriptive locations is usually either the City Hall of the town (or prominent intersection in the middle of town if there is no City Hall), but please refer to the GeoNames website for the most accurate information on their data. If there is no nearby city within 300 kilometers (or if the nearby cities database is unavailable for some reason), the Flinn-Engdahl (F-E) seismic and geographical regionalization scheme is used. The boundaries of these regions are defined at one-degree intervals and therefore differ from irregular political boundaries. For example, F-E region 545 (Northern Italy) also includes small parts of France, Switzerland, Austria and Slovenia and F-E region 493 (Chesapeake Bay Region) includes all of the State of Delaware, plus parts of the District of Columbia, Maryland, New Jersey, Pennsylvania and Virginia. Beginning with January 2000, the 1995 revision to the F-E code has been used in the QED and PDE listings. As an agency of the U.S. Government, we are expected to use the names and spellings approved by the U.S. Board on Geographic Names. Any requests to approve additional names should be made to the U.S. Board on Geographic Names. rms Data Type: Decimal Typical Values: [0.13,1.39] Description: The root-mean-square (RMS) travel time residual, in sec, using all weights. This parameter provides a measure of the fit of the observed arrival times to the predicted arrival times for this location. Smaller numbers reflect a better fit of the data. The value is dependent on the accuracy of the velocity model used to compute the earthquake location, the quality weights assigned to the arrival time data, and the procedure used to locate the earthquake. sig Data Type: Integer Typical Values: [0, 1000] Description: A number describing how significant the event is. Larger numbers indicate a more significant event. This value is determined on a number of factors, including: magnitude, maximum MMI, felt reports, and estimated impact. sources Data Type: String Typical Values: ",us,nc,ci," Description: A comma-separated list of network contributors. status Data Type: String Typical Values: “automatic”, “reviewed”, “deleted” Description: Indicates whether the event has been reviewed by a human. Additional Information Status is either automatic or reviewed. Automatic events are directly posted by automatic processing systems and have not been verified or altered by a human. Reviewed events have been looked at by a human. The level of review can range from a quick validity check to a careful reanalysis of the event. time Data Type: Long Integer Description: Time when the event occurred. Times are reported in milliseconds since the epoch ( 1970-01-01T00:00:00.000Z), and do not include leap seconds. In certain output formats, the date is formatted for readability. Additional Information: We indicate the date and time when the earthquake initiates rupture, which is known as the "origin" time. Note that large earthquakes can continue rupturing for many 10's of seconds. We provide time in UTC (Coordinated Universal Time). Seismologists use UTC to avoid confusion caused by local time zones and daylight savings time. On the individual event pages, times are also provided for the time at the epicenter, and your local time based on the time your computer is set. tsunami Data Type: Integer Description: This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist. If the flag value is "1", the event will include a link to the NOAA Tsunami website for tsunami information. The USGS is not responsible for Tsunami warning; we are simply providing a link to the authoritative NOAA source. See http://www.tsunami.gov/ for all current tsunami alert statuses. type Data Type: String Typical Values: “earthquake”, “quarry” Description: Type of seismic event. types Data Type: String Typical Values: “,cap,dyfi,general-link,origin,p-wave-travel-times,phase-data,” Description: A comma-separated list of product types associated to this event. tz Data Type: Integer Typical Values: [-1200, +1200] Description: Timezone offset from UTC in minutes at the event epicenter. updated Data Type: Long Integer Description: Time when the event was most recently updated. Times are reported in milliseconds since the epoch. In certain output formats, the date is formatted for readability. url Data Type: String Description: Link to USGS Event Page for event. -179.998 -35.161 180.0 28.417 pacific:Pacific_2005-2009_EarthquakeMag4.5_USGS image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 1 2 0 7 EPSG:4326:3 2 5 0 15 EPSG:4326:4 5 11 0 31 EPSG:4326:5 10 22 0 63 EPSG:4326:6 21 44 0 127 EPSG:4326:7 43 89 0 255 EPSG:4326:8 87 178 0 511 EPSG:4326:9 175 356 0 1023 EPSG:4326:10 350 712 0 2047 EPSG:4326:11 700 1424 0 4095 EPSG:4326:12 1401 2848 0 8191 EPSG:4326:13 2802 5696 0 16383 EPSG:4326:14 5605 11392 0 32767 EPSG:4326:15 11210 22784 0 65535 EPSG:4326:16 22421 45569 0 131071 EPSG:4326:17 44843 91139 1 262143 EPSG:4326:18 89686 182278 2 524287 EPSG:4326:19 179373 364557 5 1048575 EPSG:4326:20 358746 729115 11 2097151 EPSG:4326:21 717493 1458231 23 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 3 4 0 7 EPSG:900913:4 6 9 0 15 EPSG:900913:5 13 19 0 31 EPSG:900913:6 26 38 0 63 EPSG:900913:7 53 77 0 127 EPSG:900913:8 106 154 0 255 EPSG:900913:9 213 309 0 511 EPSG:900913:10 427 618 0 1023 EPSG:900913:11 855 1237 0 2047 EPSG:900913:12 1710 2475 0 4095 EPSG:900913:13 3421 4951 0 8191 EPSG:900913:14 6842 9903 0 16383 EPSG:900913:15 13684 19806 0 32767 EPSG:900913:16 27368 39613 0 65535 EPSG:900913:17 54737 79226 0 131071 EPSG:900913:18 109474 158452 1 262143 EPSG:900913:19 218949 316905 2 524287 EPSG:900913:20 437899 633810 5 1048575 EPSG:900913:21 875798 1267620 11 2097151 EPSG:900913:22 1751596 2535241 23 4194303 EPSG:900913:23 3503193 5070482 46 8388607 EPSG:900913:24 7006387 10140965 93 16777215 EPSG:900913:25 14012775 20281931 186 33554431 EPSG:900913:26 28025550 40563863 372 67108863 EPSG:900913:27 56051101 81127726 745 134217727 EPSG:900913:28 112102203 162255452 1491 268435455 EPSG:900913:29 224204406 324510905 2982 536870911 EPSG:900913:30 448408812 649021811 5965 1073741823 VUT_2020_ImageryTorba_Sentinel2 This resource contains satellite imagery for the Torba Province in Vanuatu. The imagery was collected on March 9 and March 22, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200508T230909_N0209_R101_T58LGK_20200509T002230 S2B_MSIL1C_20200508T230909_N0209_R101_T58LGL_20200509T002230 S2B_MSIL2A_20200508T230909_N0214_R101_T58LHK_20200509T005531 S2B_MSIL1C_20200521T231859_N0209_R001_T58LFL_20200522T002935 166.31896950296337 -14.645794171858123 168.1312126572804 -12.938737093398082 vut:VUT_2020_ImageryTorba_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 30 30 EPSG:4326:5 18 18 61 61 EPSG:4326:6 36 37 123 123 EPSG:4326:7 73 74 246 247 EPSG:4326:8 146 148 492 495 EPSG:4326:9 292 297 985 990 EPSG:4326:10 585 595 1970 1980 EPSG:4326:11 1171 1190 3940 3960 EPSG:4326:12 2342 2381 7880 7921 EPSG:4326:13 4684 4762 15761 15843 EPSG:4326:14 9369 9525 31522 31687 EPSG:4326:15 18739 19050 63045 63375 EPSG:4326:16 37478 38100 126090 126750 EPSG:4326:17 74957 76200 252181 253501 EPSG:4326:18 149915 152401 504363 507002 EPSG:4326:19 299830 304802 1008727 1014005 EPSG:4326:20 599661 609605 2017454 2028011 EPSG:4326:21 1199323 1219211 4034908 4056022 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 30 EPSG:900913:6 34 34 61 61 EPSG:900913:7 68 69 123 123 EPSG:900913:8 137 138 246 247 EPSG:900913:9 274 277 492 495 EPSG:900913:10 549 554 985 990 EPSG:900913:11 1098 1108 1970 1980 EPSG:900913:12 2196 2216 3940 3960 EPSG:900913:13 4392 4432 7880 7921 EPSG:900913:14 8785 8865 15761 15843 EPSG:900913:15 17571 17731 31522 31687 EPSG:900913:16 35143 35463 63045 63375 EPSG:900913:17 70287 70927 126090 126750 EPSG:900913:18 140574 141854 252181 253501 EPSG:900913:19 281149 283709 504363 507002 EPSG:900913:20 562299 567419 1008727 1014005 EPSG:900913:21 1124598 1134838 2017454 2028011 EPSG:900913:22 2249197 2269677 4034908 4056022 EPSG:900913:23 4498394 4539354 8069816 8112045 EPSG:900913:24 8996788 9078708 16139633 16224090 EPSG:900913:25 17993576 18157416 32279267 32448180 EPSG:900913:26 35987152 36314832 64558535 64896361 EPSG:900913:27 71974305 72629665 129117070 129792723 EPSG:900913:28 143948611 145259330 258234140 259585446 EPSG:900913:29 287897222 290518661 516468280 519170893 EPSG:900913:30 575794445 581037323 1032936561 1038341786 Global_2013_Trenches_BlueHabitats Global distribution of trench seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -61.06267903428227 180.0 55.52645152623984 global:Global_2013_Trenches_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 1 6 0 15 EPSG:4326:4 3 13 0 31 EPSG:4326:5 6 26 0 63 EPSG:4326:6 12 53 0 127 EPSG:4326:7 24 107 0 255 EPSG:4326:8 49 214 0 511 EPSG:4326:9 98 429 0 1023 EPSG:4326:10 196 859 0 2047 EPSG:4326:11 392 1718 0 4095 EPSG:4326:12 784 3437 0 8191 EPSG:4326:13 1568 6875 0 16383 EPSG:4326:14 3137 13750 0 32767 EPSG:4326:15 6275 27500 0 65535 EPSG:4326:16 12551 55000 0 131071 EPSG:4326:17 25102 110000 0 262143 EPSG:4326:18 50205 220000 0 524287 EPSG:4326:19 100411 440001 0 1048575 EPSG:4326:20 200822 880003 0 2097151 EPSG:4326:21 401645 1760007 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 0 3 EPSG:900913:3 2 5 0 7 EPSG:900913:4 5 11 0 15 EPSG:900913:5 10 22 0 31 EPSG:900913:6 20 45 0 63 EPSG:900913:7 40 91 0 127 EPSG:900913:8 80 183 0 255 EPSG:900913:9 160 366 0 511 EPSG:900913:10 321 732 0 1023 EPSG:900913:11 642 1465 0 2047 EPSG:900913:12 1285 2931 0 4095 EPSG:900913:13 2570 5862 0 8191 EPSG:900913:14 5140 11724 0 16383 EPSG:900913:15 10280 23448 0 32767 EPSG:900913:16 20560 46897 0 65535 EPSG:900913:17 41121 93795 0 131071 EPSG:900913:18 82242 187590 0 262143 EPSG:900913:19 164485 375181 0 524287 EPSG:900913:20 328971 750362 0 1048575 EPSG:900913:21 657942 1500724 0 2097151 EPSG:900913:22 1315884 3001449 0 4194303 EPSG:900913:23 2631769 6002899 0 8388607 EPSG:900913:24 5263539 12005799 0 16777215 EPSG:900913:25 10527078 24011598 0 33554431 EPSG:900913:26 21054157 48023196 0 67108863 EPSG:900913:27 42108315 96046393 0 134217727 EPSG:900913:28 84216630 192092786 0 268435455 EPSG:900913:29 168433261 384185573 0 536870911 EPSG:900913:30 336866522 768371146 0 1073741823 FJI_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -180.0 -22.000354229559466 180.0 -11.999861111110276 fji:FJI_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 1 1 0 3 EPSG:4326:2 2 2 0 7 EPSG:4326:3 4 4 0 15 EPSG:4326:4 9 9 0 31 EPSG:4326:5 18 19 0 63 EPSG:4326:6 36 39 0 127 EPSG:4326:7 72 79 0 255 EPSG:4326:8 145 159 0 511 EPSG:4326:9 290 318 0 1023 EPSG:4326:10 580 637 0 2047 EPSG:4326:11 1160 1274 0 4095 EPSG:4326:12 2321 2548 0 8191 EPSG:4326:13 4642 5097 0 16383 EPSG:4326:14 9284 10194 0 32767 EPSG:4326:15 18568 20389 0 65535 EPSG:4326:16 37137 40778 0 131071 EPSG:4326:17 74274 81556 0 262143 EPSG:4326:18 148548 163112 0 524287 EPSG:4326:19 297096 326224 0 1048575 EPSG:4326:20 594192 652449 0 2097151 EPSG:4326:21 1188384 1304898 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 1 EPSG:900913:2 2 2 0 3 EPSG:900913:3 4 4 0 7 EPSG:900913:4 8 9 0 15 EPSG:900913:5 17 18 0 31 EPSG:900913:6 34 36 0 63 EPSG:900913:7 68 72 0 127 EPSG:900913:8 136 144 0 255 EPSG:900913:9 273 288 0 510 EPSG:900913:10 546 576 0 1021 EPSG:900913:11 1092 1152 0 2042 EPSG:900913:12 2185 2304 0 4084 EPSG:900913:13 4371 4609 0 8169 EPSG:900913:14 8742 9218 0 16338 EPSG:900913:15 17484 18437 0 32676 EPSG:900913:16 34968 36875 0 65353 EPSG:900913:17 69937 73750 0 130707 EPSG:900913:18 139874 147500 0 261415 EPSG:900913:19 279749 295001 0 522831 EPSG:900913:20 559498 590003 0 1045663 EPSG:900913:21 1118996 1180007 0 2091326 EPSG:900913:22 2237993 2360015 1 4182653 EPSG:900913:23 4475987 4720031 2 8365307 EPSG:900913:24 8951975 9440063 4 16730614 EPSG:900913:25 17903951 18880127 8 33461228 EPSG:900913:26 35807903 37760255 17 66922457 EPSG:900913:27 71615806 75520511 35 133844914 EPSG:900913:28 143231613 151041023 70 267689828 EPSG:900913:29 286463226 302082046 141 535379657 EPSG:900913:30 572926453 604164093 282 1070759315 SLB_2019-2020_ImageryRennell_Sentinel2 This resource contains satellite imagery for the Rennell Island in the Solomon Islands. The imagery was collected on December 29, 2019, March 3, 2020, and May 2, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20191229T233809_N0213_R087_T57LXH_20191230T012549 S2A_MSIL2A_20200303T233811_N0214_R087_T57LWH_20200304T014717 S2A_MSIL2A_20200502T233821_N0214_R087_T57LXG_20200503T013522 159.55414054119154 -12.402175247689925 160.77989109027692 -11.235923649498009 slb:SLB_2019-2020_ImageryRennell_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 9 30 30 EPSG:4326:5 17 18 60 60 EPSG:4326:6 35 36 120 121 EPSG:4326:7 71 72 241 242 EPSG:4326:8 143 145 482 484 EPSG:4326:9 287 291 965 969 EPSG:4326:10 575 582 1931 1938 EPSG:4326:11 1151 1165 3863 3877 EPSG:4326:12 2303 2330 7726 7754 EPSG:4326:13 4607 4660 15453 15509 EPSG:4326:14 9214 9320 30906 31018 EPSG:4326:15 18429 18641 61813 62037 EPSG:4326:16 36858 37283 123627 124074 EPSG:4326:17 73717 74566 247255 248148 EPSG:4326:18 147435 149133 494511 496296 EPSG:4326:19 294870 298267 989023 992593 EPSG:4326:20 589741 596535 1978046 1985186 EPSG:4326:21 1179483 1193071 3956092 3970373 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 30 EPSG:900913:6 34 34 60 60 EPSG:900913:7 68 68 120 121 EPSG:900913:8 136 136 241 242 EPSG:900913:9 272 273 482 484 EPSG:900913:10 544 547 965 969 EPSG:900913:11 1088 1095 1931 1938 EPSG:900913:12 2176 2190 3863 3877 EPSG:900913:13 4353 4380 7726 7754 EPSG:900913:14 8706 8760 15453 15509 EPSG:900913:15 17413 17521 30906 31018 EPSG:900913:16 34826 35043 61813 62037 EPSG:900913:17 69653 70087 123627 124074 EPSG:900913:18 139306 140174 247255 248148 EPSG:900913:19 278613 280348 494511 496296 EPSG:900913:20 557226 560697 989023 992593 EPSG:900913:21 1114453 1121394 1978046 1985186 EPSG:900913:22 2228907 2242789 3956092 3970373 EPSG:900913:23 4457814 4485579 7912184 7940747 EPSG:900913:24 8915628 8971158 15824369 15881494 EPSG:900913:25 17831257 17942316 31648739 31762988 EPSG:900913:26 35662515 35884633 63297479 63525976 EPSG:900913:27 71325030 71769266 126594959 127051952 EPSG:900913:28 142650061 143538533 253189918 254103904 EPSG:900913:29 285300122 287077067 506379836 508207808 EPSG:900913:30 570600244 574154135 1012759672 1016415616 Marshall Islands 2019-2020 Sentinel-2 Imagery This resource contains satellite imagery the Marshall Islands. The imagery was collected from 2019 through 2020. More specially, this resource contains a raster file of Sentinel-2 RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The SENTINEL-2 Multispectral Instrument (MSI) samples 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution. The acquired data, mission coverage and high revisit frequency provides for the generation of geoinformation at local, regional, national and international scales. The data is designed to be modified and adapted by users interested in thematic areas such as: • spatial planning • agro-environmental monitoring • water monitoring • forest and vegetation monitoring • land carbon, natural resource monitoring • global crop monitoring 159.65113827039903 4.35048564345048 172.95809186230989 15.387462713675648 mhl:Marshall Islands 2019-2020 Sentinel-2 Imagery image/png text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 30 31 EPSG:4326:5 13 15 60 62 EPSG:4326:6 26 30 120 125 EPSG:4326:7 53 60 241 250 EPSG:4326:8 106 121 483 501 EPSG:4326:9 212 243 966 1003 EPSG:4326:10 424 487 1932 2007 EPSG:4326:11 848 974 3864 4015 EPSG:4326:12 1697 1949 7728 8031 EPSG:4326:13 3395 3898 15457 16063 EPSG:4326:14 6791 7796 30915 32127 EPSG:4326:15 13582 15592 61831 64254 EPSG:4326:16 27165 31184 123663 128508 EPSG:4326:17 54331 62368 247326 257016 EPSG:4326:18 108662 124736 494652 514032 EPSG:4326:19 217324 249472 989305 1028064 EPSG:4326:20 434649 498944 1978611 2056129 EPSG:4326:21 869299 997889 3957222 4112259 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 30 31 EPSG:900913:6 29 31 60 62 EPSG:900913:7 58 62 120 125 EPSG:900913:8 116 124 241 250 EPSG:900913:9 233 249 483 501 EPSG:900913:10 467 499 966 1003 EPSG:900913:11 935 999 1932 2007 EPSG:900913:12 1870 1998 3864 4015 EPSG:900913:13 3741 3996 7728 8031 EPSG:900913:14 7483 7993 15457 16063 EPSG:900913:15 14966 15987 30915 32127 EPSG:900913:16 29932 31975 61831 64254 EPSG:900913:17 59865 63950 123663 128508 EPSG:900913:18 119730 127901 247326 257016 EPSG:900913:19 239460 255802 494652 514032 EPSG:900913:20 478920 511604 989305 1028064 EPSG:900913:21 957840 1023208 1978611 2056129 EPSG:900913:22 1915680 2046416 3957222 4112259 EPSG:900913:23 3831360 4092832 7914445 8224519 EPSG:900913:24 7662721 8185665 15828890 16449039 EPSG:900913:25 15325442 16371331 31657780 32898078 EPSG:900913:26 30650884 32742662 63315561 65796157 EPSG:900913:27 61301769 65485324 126631122 131592314 EPSG:900913:28 122603539 130970649 253262244 263184628 EPSG:900913:29 245207078 261941298 506524489 526369257 EPSG:900913:30 490414156 523882596 1013048979 1052738514 Global_2000-2014_SurfaceTemperatureMean_BioOracle2 Raster data representing the mean levels of temperature in degrees Celsius (°C) for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Raster data representing the mean levels of temperature in degrees Celsius (°C) for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceTemperatureMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 Global_2013_Bridges_BlueHabitats Global distribution of bridge seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -178.46229435696867 -69.18571478490048 178.03710848253218 83.11178958991215 global:Global_2013_Bridges_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 1 28 0 63 EPSG:4326:6 2 56 0 127 EPSG:4326:7 4 113 1 254 EPSG:4326:8 9 226 2 509 EPSG:4326:9 19 452 4 1018 EPSG:4326:10 39 905 8 2036 EPSG:4326:11 78 1811 17 4073 EPSG:4326:12 156 3622 34 8147 EPSG:4326:13 313 7244 69 16294 EPSG:4326:14 626 14489 139 32589 EPSG:4326:15 1253 28978 279 65178 EPSG:4326:16 2507 57957 559 130357 EPSG:4326:17 5015 115915 1119 260714 EPSG:4326:18 10031 231831 2239 521429 EPSG:4326:19 20063 463662 4478 1042858 EPSG:4326:20 40126 927324 8957 2085717 EPSG:4326:21 80253 1854648 17915 4171434 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 12 0 15 EPSG:900913:5 1 24 0 31 EPSG:900913:6 3 49 0 63 EPSG:900913:7 6 98 0 127 EPSG:900913:8 13 197 1 254 EPSG:900913:9 26 394 2 509 EPSG:900913:10 53 788 4 1018 EPSG:900913:11 107 1576 8 2036 EPSG:900913:12 215 3152 17 4073 EPSG:900913:13 431 6305 34 8147 EPSG:900913:14 863 12610 69 16294 EPSG:900913:15 1727 25221 139 32589 EPSG:900913:16 3454 50443 279 65178 EPSG:900913:17 6909 100887 559 130357 EPSG:900913:18 13819 201775 1119 260714 EPSG:900913:19 27639 403550 2239 521429 EPSG:900913:20 55278 807101 4478 1042858 EPSG:900913:21 110557 1614203 8957 2085717 EPSG:900913:22 221114 3228406 17915 4171434 EPSG:900913:23 442228 6456813 35831 8342869 EPSG:900913:24 884456 12913627 71662 16685738 EPSG:900913:25 1768913 25827254 143324 33371477 EPSG:900913:26 3537827 51654509 286649 66742954 EPSG:900913:27 7075654 103309019 573298 133485909 EPSG:900913:28 14151308 206618039 1146596 266971818 EPSG:900913:29 28302617 413236078 2293192 533943636 EPSG:900913:30 56605234 826472156 4586385 1067887272 Global_2013_Sills_BlueHabitats Global distribution of sill seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -176.84064404861644 -76.75350550123694 178.68167396082617 88.4415965946489 global:Global_2013_Sills_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 1 127 EPSG:4326:7 1 118 2 255 EPSG:4326:8 2 237 4 510 EPSG:4326:9 4 474 8 1020 EPSG:4326:10 8 948 17 2040 EPSG:4326:11 17 1897 35 4081 EPSG:4326:12 35 3794 71 8162 EPSG:4326:13 70 7589 143 16324 EPSG:4326:14 141 15178 287 32648 EPSG:4326:15 283 30356 575 65296 EPSG:4326:16 567 60713 1150 130592 EPSG:4326:17 1134 121426 2300 261184 EPSG:4326:18 2269 242852 4601 522368 EPSG:4326:19 4539 485704 9202 1044736 EPSG:4326:20 9078 971409 18404 2089472 EPSG:4326:21 18156 1942819 36809 4178944 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 53 0 63 EPSG:900913:7 0 107 1 127 EPSG:900913:8 0 215 2 255 EPSG:900913:9 0 431 4 510 EPSG:900913:10 0 862 8 1020 EPSG:900913:11 0 1725 17 2040 EPSG:900913:12 0 3451 35 4081 EPSG:900913:13 0 6903 71 8162 EPSG:900913:14 0 13806 143 16324 EPSG:900913:15 0 27613 287 32648 EPSG:900913:16 0 55226 575 65296 EPSG:900913:17 0 110452 1150 130592 EPSG:900913:18 0 220905 2300 261184 EPSG:900913:19 0 441811 4601 522368 EPSG:900913:20 0 883622 9202 1044736 EPSG:900913:21 0 1767245 18404 2089472 EPSG:900913:22 0 3534490 36809 4178944 EPSG:900913:23 0 7068980 73618 8357888 EPSG:900913:24 0 14137960 147236 16715777 EPSG:900913:25 0 28275921 294473 33431555 EPSG:900913:26 0 56551842 588946 66863110 EPSG:900913:27 0 113103685 1177893 133726220 EPSG:900913:28 0 226207371 2355786 267452440 EPSG:900913:29 0 452414742 4711573 534904881 EPSG:900913:30 0 904829484 9423146 1069809763 FJI_2019-2020_ImageryVanuaLevuTaveuni_Sentinel2 This resource contains satellite imagery for the Vavua Levu and Taveuni islands in Fiji. The imagery was collected on June 8 , 2019, January 4, 2020, February 3, 2020, February 23, 2020, July 22, 2020, August 9, 2020, and August 21, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20190608T221949_N0212_R029_T01LAC_20190609T000519 S2B_MSIL2A_20200104T221939_N0213_R029_T60KYG_20200105T000555 S2B_MSIL2A_20200203T221929_N0213_R029_T60KXG_20200204T000453 S2B_MSIL2A_20200223T221939_N0214_R029_T01KBB_20200224T000431 S2B_MSIL2A_20200223T221939_N0214_R029_T01LBC_20200224T000431 S2B_MSIL2A_20200722T221939_N0214_R029_T60LYH_20200722T235608 S2A_MSIL2A_20200809T223021_N0214_R072_T60KXG_20200810T002802 S2B_MSIL2A_20200821T221939_N0214_R029_T60LXH_20200821T235025 -180.0 -17.312822267495616 180.0 -15.70327852362702 fji:FJI_2019-2020_ImageryVanuaLevuTaveuni_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 1 1 0 3 EPSG:4326:2 2 2 0 7 EPSG:4326:3 4 4 0 15 EPSG:4326:4 9 9 0 31 EPSG:4326:5 18 19 0 63 EPSG:4326:6 37 38 0 127 EPSG:4326:7 75 76 0 255 EPSG:4326:8 150 152 0 511 EPSG:4326:9 300 305 0 1023 EPSG:4326:10 601 610 0 2047 EPSG:4326:11 1202 1220 0 4095 EPSG:4326:12 2405 2441 0 8191 EPSG:4326:13 4810 4883 0 16383 EPSG:4326:14 9621 9767 0 32767 EPSG:4326:15 19242 19535 0 65535 EPSG:4326:16 38485 39071 0 131071 EPSG:4326:17 76970 78142 0 262143 EPSG:4326:18 153941 156285 0 524287 EPSG:4326:19 307883 312571 0 1048575 EPSG:4326:20 615766 625142 0 2097151 EPSG:4326:21 1231532 1250284 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 1 EPSG:900913:2 2 2 0 3 EPSG:900913:3 4 4 0 7 EPSG:900913:4 8 8 0 15 EPSG:900913:5 17 17 0 31 EPSG:900913:6 34 35 0 63 EPSG:900913:7 69 70 0 127 EPSG:900913:8 139 140 0 255 EPSG:900913:9 278 281 0 511 EPSG:900913:10 557 562 0 1023 EPSG:900913:11 1114 1124 0 2047 EPSG:900913:12 2228 2248 0 4095 EPSG:900913:13 4457 4496 0 8191 EPSG:900913:14 8915 8992 0 16382 EPSG:900913:15 17831 17984 0 32765 EPSG:900913:16 35663 35968 0 65531 EPSG:900913:17 71326 71937 0 131063 EPSG:900913:18 142652 143875 1 262127 EPSG:900913:19 285305 287750 2 524254 EPSG:900913:20 570610 575500 4 1048509 EPSG:900913:21 1141221 1151001 9 2097019 EPSG:900913:22 2282442 2302002 18 4194039 EPSG:900913:23 4564885 4604004 37 8388079 EPSG:900913:24 9129771 9208009 74 16776159 EPSG:900913:25 18259543 18416019 148 33552319 EPSG:900913:26 36519087 36832039 297 67104639 EPSG:900913:27 73038174 73664078 595 134209279 EPSG:900913:28 146076348 147328157 1191 268418559 EPSG:900913:29 292152696 294656314 2383 536837118 EPSG:900913:30 584305392 589312628 4767 1073674237 TON_2020_ImageryVavauGroup_Sentinel2 This resource contains satellite imagery for the Vavau Group in Tonga. The imagery was collected from August 11, 2019, August 21, 2019, September 10, 2019, January 20, 2020, and February 19, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20190811T215919_N0213_R086_T01KGA_20190811T232418 S2B_MSIL2A_20190821T215919_N0213_R086_T01KGV_20190821T232737 S2B_MSIL2A_20190910T215919_N0213_R086_T01KGV_20190910T234012 S2A_MSIL2A_20200219T214901_N0214_R043_T01KGV_20200219T233738 S2A_MSIL2A_20200120T214901_N0213_R043_T01KHV_20200120T232609 -174.97785620448772 -18.979937987051816 -173.59993522973463 -17.920248858944024 ton:TON_2020_ImageryVavauGroup_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 19 19 0 1 EPSG:4326:6 38 38 1 2 EPSG:4326:7 76 77 3 4 EPSG:4326:8 153 154 7 9 EPSG:4326:9 306 309 14 18 EPSG:4326:10 613 619 28 36 EPSG:4326:11 1227 1239 57 72 EPSG:4326:12 2455 2479 114 145 EPSG:4326:13 4911 4959 228 291 EPSG:4326:14 9823 9919 457 582 EPSG:4326:15 19646 19839 914 1165 EPSG:4326:16 39292 39678 1828 2330 EPSG:4326:17 78585 79356 3657 4660 EPSG:4326:18 157170 158713 7314 9320 EPSG:4326:19 314340 317427 14628 18641 EPSG:4326:20 628681 634854 29256 37283 EPSG:4326:21 1257362 1269708 58512 74566 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 35 35 0 1 EPSG:900913:7 70 70 1 2 EPSG:900913:8 140 141 3 4 EPSG:900913:9 281 283 7 9 EPSG:900913:10 563 567 14 18 EPSG:900913:11 1127 1134 28 36 EPSG:900913:12 2255 2268 57 72 EPSG:900913:13 4510 4536 114 145 EPSG:900913:14 9021 9072 228 291 EPSG:900913:15 18042 18144 457 582 EPSG:900913:16 36084 36288 914 1165 EPSG:900913:17 72169 72576 1828 2330 EPSG:900913:18 144339 145152 3657 4660 EPSG:900913:19 288678 290305 7314 9320 EPSG:900913:20 577356 580610 14628 18641 EPSG:900913:21 1154713 1161221 29256 37283 EPSG:900913:22 2309427 2322443 58512 74566 EPSG:900913:23 4618855 4644886 117024 149132 EPSG:900913:24 9237710 9289772 234048 298264 EPSG:900913:25 18475421 18579545 468097 596529 EPSG:900913:26 36950843 37159091 936195 1193058 EPSG:900913:27 73901687 74318183 1872390 2386117 EPSG:900913:28 147803375 148636367 3744781 4772234 EPSG:900913:29 295606751 297272734 7489563 9544468 EPSG:900913:30 591213503 594545468 14979127 19088936 Global_2000_PopulationDensity30sec_GPWv4 The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research communities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions. -180.0 -90.0 180.0 90.0 global:Global_2000_PopulationDensity30sec_GPWv4 text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 MHL_2020_ImageryEbon_Sentinel2 This resource contains satellite imagery for Ebon Atoll in the Marshall Islands. The imagery was collected on February 16, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200216T231231_N0209_R001_T59NKF_20200217T003721 168.2927551124814 4.429955960885932 169.28570048658304 5.425787018836145 mhl:MHL_2020_ImageryEbon_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 31 EPSG:4326:5 15 15 61 62 EPSG:4326:6 30 30 123 124 EPSG:4326:7 60 60 247 248 EPSG:4326:8 120 121 495 496 EPSG:4326:9 240 243 990 993 EPSG:4326:10 481 486 1981 1987 EPSG:4326:11 962 973 3962 3974 EPSG:4326:12 1924 1947 7925 7948 EPSG:4326:13 3849 3894 15851 15896 EPSG:4326:14 7698 7788 31702 31792 EPSG:4326:15 15396 15577 63404 63585 EPSG:4326:16 30792 31155 126809 127171 EPSG:4326:17 61585 62310 253619 254342 EPSG:4326:18 123170 124620 507238 508684 EPSG:4326:19 246340 249240 1014476 1017368 EPSG:4326:20 492680 498481 2028952 2034736 EPSG:4326:21 985360 996963 4057904 4069473 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 31 EPSG:900913:6 31 31 61 62 EPSG:900913:7 62 62 123 124 EPSG:900913:8 124 124 247 248 EPSG:900913:9 248 249 495 496 EPSG:900913:10 496 499 990 993 EPSG:900913:11 993 998 1981 1987 EPSG:900913:12 1986 1997 3962 3974 EPSG:900913:13 3972 3995 7925 7948 EPSG:900913:14 7944 7990 15851 15896 EPSG:900913:15 15889 15980 31702 31792 EPSG:900913:16 31778 31960 63404 63585 EPSG:900913:17 63557 63921 126809 127171 EPSG:900913:18 127115 127842 253619 254342 EPSG:900913:19 254230 255685 507238 508684 EPSG:900913:20 508460 511371 1014476 1017368 EPSG:900913:21 1016921 1022743 2028952 2034736 EPSG:900913:22 2033842 2045487 4057904 4069473 EPSG:900913:23 4067684 4090975 8115809 8138946 EPSG:900913:24 8135369 8181951 16231618 16277893 EPSG:900913:25 16270738 16363902 32463237 32555786 EPSG:900913:26 32541476 32727804 64926475 65111573 EPSG:900913:27 65082953 65455608 129852950 130223147 EPSG:900913:28 130165907 130911217 259705901 260446295 EPSG:900913:29 260331815 261822434 519411803 520892590 EPSG:900913:30 520663630 523644869 1038823606 1041785181 Global_2000-2014_SurfacepHMean_BioOracle2 Raster data representing the mean levels of pH for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfacepHMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 KIR_2019_Hillshade30mPhoenixIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -175.00013888888898 -5.000138888888858 -169.99986111111124 -1.9998611111111035 kir:KIR_2019_Hillshade30mPhoenixIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 8 8 0 0 EPSG:4326:5 16 16 0 1 EPSG:4326:6 32 33 1 3 EPSG:4326:7 65 67 3 7 EPSG:4326:8 130 135 7 14 EPSG:4326:9 261 270 14 28 EPSG:4326:10 523 540 28 56 EPSG:4326:11 1046 1080 56 113 EPSG:4326:12 2093 2161 113 227 EPSG:4326:13 4187 4323 227 455 EPSG:4326:14 8374 8647 455 910 EPSG:4326:15 16748 17294 910 1820 EPSG:4326:16 33496 34588 1820 3640 EPSG:4326:17 66992 69176 3640 7281 EPSG:4326:18 133984 138353 7281 14563 EPSG:4326:19 267969 276707 14563 29127 EPSG:4326:20 535938 553415 29126 58255 EPSG:4326:21 1071876 1106831 58252 116510 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 16 16 0 0 EPSG:900913:6 32 32 0 1 EPSG:900913:7 64 65 1 3 EPSG:900913:8 129 131 3 7 EPSG:900913:9 258 263 7 14 EPSG:900913:10 517 526 14 28 EPSG:900913:11 1035 1052 28 56 EPSG:900913:12 2070 2104 56 113 EPSG:900913:13 4141 4209 113 227 EPSG:900913:14 8283 8419 227 455 EPSG:900913:15 16566 16839 455 910 EPSG:900913:16 33132 33679 910 1820 EPSG:900913:17 66264 67358 1820 3640 EPSG:900913:18 132528 134717 3640 7281 EPSG:900913:19 265057 269435 7281 14563 EPSG:900913:20 530114 538870 14563 29127 EPSG:900913:21 1060228 1077740 29126 58255 EPSG:900913:22 2120456 2155481 58252 116510 EPSG:900913:23 4240913 4310963 116505 233020 EPSG:900913:24 8481827 8621927 233010 466040 EPSG:900913:25 16963654 17243855 466020 932080 EPSG:900913:26 33927308 34487710 932041 1864160 EPSG:900913:27 67854617 68975421 1864083 3728321 EPSG:900913:28 135709235 137950843 3728166 7456643 EPSG:900913:29 271418470 275901686 7456333 14913287 EPSG:900913:30 542836941 551803373 14912666 29826575 MHL_2020_ImageryUterikTaka_Sentinel2 This resource contains satellite imagery for the Utirik Atoll and Taka Atoll in Marshall Islands. The imagery was collected on May 31, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200531T231239_N0209_R001_T59PLN_20200601T003233_RGB.tif 169.16469901832585 10.761637470721952 170.1749949473096 11.758843009779822 mhl:MHL_2020_ImageryUterikTaka_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 31 31 EPSG:4326:5 13 14 62 62 EPSG:4326:6 27 28 124 124 EPSG:4326:7 55 56 248 249 EPSG:4326:8 111 112 496 498 EPSG:4326:9 222 225 993 996 EPSG:4326:10 445 450 1986 1992 EPSG:4326:11 890 901 3972 3984 EPSG:4326:12 1780 1803 7945 7968 EPSG:4326:13 3560 3606 15890 15936 EPSG:4326:14 7121 7212 31781 31873 EPSG:4326:15 14243 14424 63563 63747 EPSG:4326:16 28486 28849 127126 127494 EPSG:4326:17 56973 57699 254253 254989 EPSG:4326:18 113946 115399 508507 509979 EPSG:4326:19 227893 230798 1017015 1019958 EPSG:4326:20 455787 461596 2034031 2039917 EPSG:4326:21 911575 923193 4068063 4079834 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 31 31 EPSG:900913:6 29 30 62 62 EPSG:900913:7 59 60 124 124 EPSG:900913:8 119 120 248 249 EPSG:900913:9 239 240 496 498 EPSG:900913:10 478 481 993 996 EPSG:900913:11 956 962 1986 1992 EPSG:900913:12 1913 1924 3972 3984 EPSG:900913:13 3826 3849 7945 7968 EPSG:900913:14 7653 7699 15890 15936 EPSG:900913:15 15306 15398 31781 31873 EPSG:900913:16 30612 30797 63563 63747 EPSG:900913:17 61224 61594 127126 127494 EPSG:900913:18 122448 123189 254253 254989 EPSG:900913:19 244897 246378 508507 509979 EPSG:900913:20 489794 492756 1017015 1019958 EPSG:900913:21 979589 985513 2034031 2039917 EPSG:900913:22 1959179 1971026 4068063 4079834 EPSG:900913:23 3918359 3942052 8136127 8159668 EPSG:900913:24 7836718 7884104 16272254 16319337 EPSG:900913:25 15673436 15768208 32544508 32638675 EPSG:900913:26 31346873 31536416 65089017 65277350 EPSG:900913:27 62693746 63072833 130178035 130554700 EPSG:900913:28 125387492 126145667 260356070 261109401 EPSG:900913:29 250774984 252291334 520712140 522218802 EPSG:900913:30 501549968 504582668 1041424280 1044437605 SLB_2019-2020_ImageryOntongJava_Sentinel2 This resource contains satellite imagery for the Ontong Java Atoll in the Solomon Islands. The imagery was collected on December 2, 2019 and March 16, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20191202T234739_N0213_R130_T57MWP_20191203T013156 S2A_MSIL1C_20200316T234741_N0209_R130_T57MWQ_20200317T011621 158.99981913784433 -6.42151393209642 159.99270175480942 -4.522705300445328 slb:SLB_2019-2020_ImageryOntongJava_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 16 17 60 60 EPSG:4326:6 33 34 120 120 EPSG:4326:7 67 68 241 241 EPSG:4326:8 134 137 482 483 EPSG:4326:9 268 274 964 967 EPSG:4326:10 537 548 1928 1934 EPSG:4326:11 1075 1097 3857 3868 EPSG:4326:12 2150 2194 7714 7736 EPSG:4326:13 4301 4388 15428 15473 EPSG:4326:14 8603 8776 30856 30946 EPSG:4326:15 17207 17553 61713 61893 EPSG:4326:16 34414 35106 123426 123787 EPSG:4326:17 68829 70212 246852 247575 EPSG:4326:18 137658 140424 493704 495150 EPSG:4326:19 275317 280848 987408 990300 EPSG:4326:20 550634 561696 1974817 1980601 EPSG:4326:21 1101269 1123392 3949634 3961202 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 32 33 60 60 EPSG:900913:7 65 66 120 120 EPSG:900913:8 131 132 241 241 EPSG:900913:9 262 265 482 483 EPSG:900913:10 524 530 964 967 EPSG:900913:11 1049 1060 1928 1934 EPSG:900913:12 2099 2121 3857 3868 EPSG:900913:13 4199 4242 7714 7736 EPSG:900913:14 8398 8484 15428 15473 EPSG:900913:15 16796 16969 30856 30946 EPSG:900913:16 33592 33939 61713 61893 EPSG:900913:17 67184 67878 123426 123787 EPSG:900913:18 134368 135757 246852 247575 EPSG:900913:19 268737 271515 493704 495150 EPSG:900913:20 537475 543031 987408 990300 EPSG:900913:21 1074950 1086062 1974817 1980601 EPSG:900913:22 2149900 2172125 3949634 3961202 EPSG:900913:23 4299800 4344250 7899268 7922404 EPSG:900913:24 8599600 8688500 15798536 15844808 EPSG:900913:25 17199201 17377001 31597073 31689616 EPSG:900913:26 34398402 34754002 63194146 63379233 EPSG:900913:27 68796804 69508005 126388293 126758466 EPSG:900913:28 137593609 139016011 252776586 253516933 EPSG:900913:29 275187218 278032023 505553172 507033866 EPSG:900913:30 550374436 556064046 1011106344 1014067732 Global_2005_PopulationDensity30sec_GPWv4 The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research communities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions. -180.0 -90.0 180.0 90.0 global:Global_2005_PopulationDensity30sec_GPWv4 text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 MHL_2020_ImageryAilinginaeRongelapRongerik_Sentinel2 This resource contains satellite imagery for Ailinginae Atoll, Rongerik Atoll, and Rongelap Atoll in the Marshall Islands. The imagery was collected on May 22, June 26, and July 8, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200522T233301_N0209_R087_T58PGT_20200523T004504 S2B_MSIL1C_20200626T233259_N0209_R087_T58PFT_20200627T005656 S2A_MSIL1C_20200708T232211_N0209_R044_T58PGT_20200709T005058 165.91463220910538 10.754102422534078 167.84180206915926 11.758567886482854 mhl:MHL_2020_ImageryAilinginaeRongelapRongerik_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 30 30 EPSG:4326:5 13 14 61 61 EPSG:4326:6 27 28 122 123 EPSG:4326:7 55 56 245 247 EPSG:4326:8 111 112 491 494 EPSG:4326:9 222 225 983 989 EPSG:4326:10 445 450 1967 1978 EPSG:4326:11 890 901 3935 3957 EPSG:4326:12 1780 1803 7871 7915 EPSG:4326:13 3560 3606 15742 15830 EPSG:4326:14 7121 7213 31485 31661 EPSG:4326:15 14243 14426 62971 63322 EPSG:4326:16 28486 28852 125943 126645 EPSG:4326:17 56973 57705 251887 253290 EPSG:4326:18 113947 115410 503774 506581 EPSG:4326:19 227894 230820 1007549 1013162 EPSG:4326:20 455789 461640 2015098 2026325 EPSG:4326:21 911578 923281 4030197 4052650 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 30 30 EPSG:900913:6 29 30 61 61 EPSG:900913:7 59 60 122 123 EPSG:900913:8 119 120 245 247 EPSG:900913:9 239 240 491 494 EPSG:900913:10 478 481 983 989 EPSG:900913:11 956 962 1967 1978 EPSG:900913:12 1913 1924 3935 3957 EPSG:900913:13 3826 3849 7871 7915 EPSG:900913:14 7653 7699 15742 15830 EPSG:900913:15 15306 15399 31485 31661 EPSG:900913:16 30612 30798 62971 63322 EPSG:900913:17 61224 61597 125943 126645 EPSG:900913:18 122448 123194 251887 253290 EPSG:900913:19 244897 246389 503774 506581 EPSG:900913:20 489795 492778 1007549 1013162 EPSG:900913:21 979591 985557 2015098 2026325 EPSG:900913:22 1959182 1971115 4030197 4052650 EPSG:900913:23 3918365 3942230 8060395 8105301 EPSG:900913:24 7836731 7884461 16120790 16210602 EPSG:900913:25 15673462 15768923 32241580 32421205 EPSG:900913:26 31346925 31537846 64483161 64842411 EPSG:900913:27 62693850 63075693 128966322 129684823 EPSG:900913:28 125387701 126151386 257932644 259369646 EPSG:900913:29 250775403 252302772 515865289 518739293 EPSG:900913:30 501550806 504605544 1031730578 1037478586 NRU_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 166.82712639366704 -0.6086172905911807 167.05684861588927 -0.4422284017022935 nru:NRU_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 16 16 61 61 EPSG:4326:6 32 32 123 123 EPSG:4326:7 64 64 246 246 EPSG:4326:8 128 128 493 493 EPSG:4326:9 257 257 986 987 EPSG:4326:10 514 515 1973 1974 EPSG:4326:11 1029 1030 3946 3948 EPSG:4326:12 2058 2061 7892 7897 EPSG:4326:13 4116 4123 15784 15794 EPSG:4326:14 8232 8247 31568 31589 EPSG:4326:15 16464 16494 63137 63179 EPSG:4326:16 32929 32989 126275 126359 EPSG:4326:17 65858 65979 252551 252719 EPSG:4326:18 131716 131958 505103 505438 EPSG:4326:19 263432 263916 1010207 1010876 EPSG:4326:20 526864 527833 2020414 2021752 EPSG:4326:21 1053728 1055666 4040828 4043505 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 32 32 61 61 EPSG:900913:7 64 64 123 123 EPSG:900913:8 128 128 246 246 EPSG:900913:9 256 256 493 493 EPSG:900913:10 513 513 986 987 EPSG:900913:11 1026 1027 1973 1974 EPSG:900913:12 2053 2054 3946 3948 EPSG:900913:13 4106 4109 7892 7897 EPSG:900913:14 8212 8219 15784 15794 EPSG:900913:15 16424 16439 31568 31589 EPSG:900913:16 32848 32878 63137 63179 EPSG:900913:17 65697 65757 126275 126359 EPSG:900913:18 131394 131515 252551 252719 EPSG:900913:19 262788 263030 505103 505438 EPSG:900913:20 525576 526060 1010207 1010876 EPSG:900913:21 1051152 1052121 2020414 2021752 EPSG:900913:22 2102304 2104243 4040828 4043505 EPSG:900913:23 4204608 4208486 8081657 8087010 EPSG:900913:24 8409217 8416972 16163315 16174021 EPSG:900913:25 16818435 16833944 32326631 32348042 EPSG:900913:26 33636870 33667888 64653262 64696085 EPSG:900913:27 67273740 67335777 129306524 129392171 EPSG:900913:28 134547480 134671554 258613049 258784342 EPSG:900913:29 269094961 269343108 517226099 517568685 EPSG:900913:30 538189922 538686217 1034452198 1035137371 Global_2020_PopulationDensity30sec_GPWv4 The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research communities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions. -180.0 -90.0 180.0 90.0 global:Global_2020_PopulationDensity30sec_GPWv4 xml image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 MHL_2019_DEM1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 159.9998611111111 2.999861111111123 174.00013888888876 15.000138888888785 mhl:MHL_2019_DEM1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 6 7 30 31 EPSG:4326:5 13 15 60 62 EPSG:4326:6 26 30 120 125 EPSG:4326:7 53 61 241 251 EPSG:4326:8 106 123 483 503 EPSG:4326:9 213 247 967 1006 EPSG:4326:10 426 494 1934 2013 EPSG:4326:11 853 989 3868 4027 EPSG:4326:12 1706 1979 7736 8055 EPSG:4326:13 3413 3959 15473 16110 EPSG:4326:14 6826 7918 30947 32221 EPSG:4326:15 13653 15837 61895 64443 EPSG:4326:16 27306 31675 123790 128887 EPSG:4326:17 54613 63351 247580 257775 EPSG:4326:18 109226 126703 495160 515550 EPSG:4326:19 218452 253406 990321 1031100 EPSG:4326:20 436905 506812 1980642 2062200 EPSG:4326:21 873811 1013625 3961285 4124400 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 14 15 30 31 EPSG:900913:6 29 31 60 62 EPSG:900913:7 58 62 120 125 EPSG:900913:8 117 125 241 251 EPSG:900913:9 234 251 483 503 EPSG:900913:10 468 503 967 1006 EPSG:900913:11 937 1006 1934 2013 EPSG:900913:12 1875 2013 3868 4027 EPSG:900913:13 3750 4027 7736 8055 EPSG:900913:14 7501 8055 15473 16110 EPSG:900913:15 15002 16110 30947 32221 EPSG:900913:16 30005 32221 61895 64443 EPSG:900913:17 60011 64443 123790 128887 EPSG:900913:18 120022 128886 247580 257775 EPSG:900913:19 240044 257773 495160 515550 EPSG:900913:20 480089 515546 990321 1031100 EPSG:900913:21 960178 1031092 1980642 2062200 EPSG:900913:22 1920356 2062185 3961285 4124400 EPSG:900913:23 3840712 4124370 7922570 8248801 EPSG:900913:24 7681425 8248740 15845141 16497602 EPSG:900913:25 15362851 16497480 31690283 32995204 EPSG:900913:26 30725702 32994961 63380567 65990408 EPSG:900913:27 61451405 65989923 126761135 131980817 EPSG:900913:28 122902810 131979846 253522271 263961635 EPSG:900913:29 245805621 263959693 507044543 527923270 EPSG:900913:30 491611242 527919386 1014089086 1055846541 MHL_2020_ImageryLikiep_Sentinel2 This resource contains satellite imagery for Likiep Atoll in the Marshall Islands. The imagery was collected on December 3, 2019, February 6, 2020, May 14, 2020, and June 13, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20191203T231229_N0208_R001_T59PLL_20191204T003038 S2A_MSIL1C_20200206T231221_N0209_R001_T59PLM_20200207T003700 S2B_MSIL1C_20200514T232209_N0209_R044_T59PKL_20200515T004614 S2B_MSIL1C_20200613T232209_N0209_R044_T59PKM_20200614T020555 168.25608845340207 8.948227359323448 170.1794810112384 10.85437483653782 mhl:MHL_2020_ImageryLikiep_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 31 EPSG:4326:5 14 14 61 62 EPSG:4326:6 28 28 123 124 EPSG:4326:7 56 57 247 249 EPSG:4326:8 112 115 495 498 EPSG:4326:9 225 230 990 996 EPSG:4326:10 450 461 1981 1992 EPSG:4326:11 900 922 3962 3984 EPSG:4326:12 1801 1844 7924 7968 EPSG:4326:13 3602 3688 15849 15937 EPSG:4326:14 7204 7377 31699 31874 EPSG:4326:15 14408 14755 63398 63748 EPSG:4326:16 28816 29510 126796 127496 EPSG:4326:17 57632 59020 253592 254992 EPSG:4326:18 115264 118040 507184 509985 EPSG:4326:19 230528 236080 1014369 1019971 EPSG:4326:20 461056 472160 2028738 2039943 EPSG:4326:21 922113 944321 4057477 4079886 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 31 EPSG:900913:6 30 30 61 62 EPSG:900913:7 60 60 123 124 EPSG:900913:8 120 121 247 249 EPSG:900913:9 240 243 495 498 EPSG:900913:10 480 486 990 996 EPSG:900913:11 961 972 1981 1992 EPSG:900913:12 1923 1945 3962 3984 EPSG:900913:13 3847 3891 7924 7968 EPSG:900913:14 7695 7783 15849 15937 EPSG:900913:15 15390 15566 31699 31874 EPSG:900913:16 30780 31132 63398 63748 EPSG:900913:17 61560 62264 126796 127496 EPSG:900913:18 123120 124529 253592 254992 EPSG:900913:19 246240 249058 507184 509985 EPSG:900913:20 492481 498117 1014369 1019971 EPSG:900913:21 984963 996235 2028738 2039943 EPSG:900913:22 1969926 1992471 4057477 4079886 EPSG:900913:23 3939852 3984942 8114955 8159773 EPSG:900913:24 7879704 7969884 16229910 16319546 EPSG:900913:25 15759408 15939769 32459820 32639093 EPSG:900913:26 31518817 31879538 64919640 65278186 EPSG:900913:27 63037634 63759077 129839280 130556373 EPSG:900913:28 126075268 127518155 259678560 261112746 EPSG:900913:29 252150536 255036311 519357121 522225492 EPSG:900913:30 504301073 510072622 1038714243 1044450985 VUT_2020_ImageryPenama_Sentinel2 This resource contains satellite imagery for the Penama Province in Vanuatu. The imagery was collected on February 13, March 8, September 9, September 10, and October 15, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200213T230901_N0209_R101_T58LGH_20200214T002904 S2B_MSIL1C_20200508T230909_N0209_R101_T58LGJ_20200509T002230 S2A_MSIL2A_20200910T230911_N0214_R101_T58LHJ_20200911T010839 S2A_MSIL2A_20200910T230911_N0214_R101_T58LHH_20200911T010839 S2B_MSIL2A_20201015T230909_N0214_R101_T58LHJ_20201016T005507 167.3661221833348 -16.122519602706816 168.69580404257442 -14.77602784496261 vut:VUT_2020_ImageryPenama_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 30 30 EPSG:4326:5 18 18 61 61 EPSG:4326:6 37 37 123 123 EPSG:4326:7 74 75 247 247 EPSG:4326:8 149 150 494 495 EPSG:4326:9 298 301 988 991 EPSG:4326:10 596 603 1976 1983 EPSG:4326:11 1192 1207 3952 3967 EPSG:4326:12 2384 2414 7904 7934 EPSG:4326:13 4768 4829 15809 15869 EPSG:4326:14 9536 9659 31618 31739 EPSG:4326:15 19073 19319 63236 63478 EPSG:4326:16 38147 38638 126472 126956 EPSG:4326:17 76295 77276 252944 253912 EPSG:4326:18 152591 154552 505888 507825 EPSG:4326:19 305182 309104 1011777 1015650 EPSG:4326:20 610364 618208 2023554 2031300 EPSG:4326:21 1220729 1236416 4047108 4062600 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 30 30 EPSG:900913:6 34 34 61 61 EPSG:900913:7 69 69 123 123 EPSG:900913:8 138 139 247 247 EPSG:900913:9 277 279 494 495 EPSG:900913:10 554 558 988 991 EPSG:900913:11 1109 1116 1976 1983 EPSG:900913:12 2218 2233 3952 3967 EPSG:900913:13 4436 4467 7904 7934 EPSG:900913:14 8872 8935 15809 15869 EPSG:900913:15 17744 17871 31618 31739 EPSG:900913:16 35488 35742 63236 63478 EPSG:900913:17 70976 71485 126472 126956 EPSG:900913:18 141952 142970 252944 253912 EPSG:900913:19 283905 285940 505888 507825 EPSG:900913:20 567811 571880 1011777 1015650 EPSG:900913:21 1135622 1143761 2023554 2031300 EPSG:900913:22 2271245 2287522 4047108 4062600 EPSG:900913:23 4542491 4575044 8094217 8125201 EPSG:900913:24 9084983 9150088 16188434 16250402 EPSG:900913:25 18169966 18300176 32376869 32500804 EPSG:900913:26 36339932 36600353 64753738 65001609 EPSG:900913:27 72679865 73200707 129507476 130003218 EPSG:900913:28 145359731 146401414 259014953 260006436 EPSG:900913:29 290719462 292802828 518029907 520012873 EPSG:900913:30 581438924 585605657 1036059815 1040025746 MHL_2020_ImageryKwajaleinLib_Sentinel2 This resource contains satellite imagery for Kwajalein Atoll and Lib Island in the Marshall Islands. The imagery was collected on January 15 and June 28, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200115T232159_N0208_R044_T58PGQ_20200116T004824 S2A_MSIL1C_20200628T232211_N0209_R044_T58PFR_20200629T004925 S2A_MSIL1C_20200628T232211_N0209_R044_T58PGR_20200629T004925 165.907527632251 8.043948211356259 167.8247878523012 9.950163774005182 mhl:MHL_2020_ImageryKwajaleinLib_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 14 14 61 61 EPSG:4326:6 28 29 122 123 EPSG:4326:7 56 58 245 247 EPSG:4326:8 113 116 491 494 EPSG:4326:9 227 233 983 989 EPSG:4326:10 455 466 1967 1978 EPSG:4326:11 910 932 3935 3957 EPSG:4326:12 1821 1864 7871 7914 EPSG:4326:13 3643 3729 15742 15829 EPSG:4326:14 7286 7459 31485 31659 EPSG:4326:15 14572 14919 62970 63319 EPSG:4326:16 29145 29839 125941 126639 EPSG:4326:17 58290 59678 251882 253278 EPSG:4326:18 116581 119357 503764 506556 EPSG:4326:19 233162 238714 1007528 1013113 EPSG:4326:20 466324 477428 2015057 2026226 EPSG:4326:21 932648 954857 4030114 4052452 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 30 30 61 61 EPSG:900913:7 60 61 122 123 EPSG:900913:8 120 122 245 247 EPSG:900913:9 241 244 491 494 EPSG:900913:10 483 489 983 989 EPSG:900913:11 967 978 1967 1978 EPSG:900913:12 1934 1956 3935 3957 EPSG:900913:13 3868 3912 7871 7914 EPSG:900913:14 7736 7824 15742 15829 EPSG:900913:15 15473 15649 31485 31659 EPSG:900913:16 30947 31298 62970 63319 EPSG:900913:17 61894 62597 125941 126639 EPSG:900913:18 123789 125195 251882 253278 EPSG:900913:19 247579 250390 503764 506556 EPSG:900913:20 495159 500780 1007528 1013113 EPSG:900913:21 990318 1001561 2015057 2026226 EPSG:900913:22 1980637 2003123 4030114 4052452 EPSG:900913:23 3961274 4006247 8060229 8104904 EPSG:900913:24 7922548 8012495 16120459 16209809 EPSG:900913:25 15845096 16024990 32240918 32419619 EPSG:900913:26 31690192 32049981 64481836 64839239 EPSG:900913:27 63380385 64099962 128963673 129678479 EPSG:900913:28 126760771 128199924 257927346 259356959 EPSG:900913:29 253521542 256399848 515854693 518713919 EPSG:900913:30 507043084 512799696 1031709387 1037427839 SLB_2020_ImageryChoiseul_Sentinel2 This resource contains satellite imagery for the Choiseul Island in the Solomon Islands. The imagery was collected on October 25, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20201025T235751_N0214_R030_T57MTM_20201026T020108 S2A_MSIL2A_20201025T235751_N0214_R030_T57MTN_20201026T020108 S2A_MSIL2A_20201025T235751_N0214_R030_T57MUM_20201026T020108 S2A_MSIL2A_20201025T235751_N0214_R030_T57MUN_20201026T020108 156.27429025110555 -7.830012720813741 158.0022167616971 -6.332592668117481 slb:SLB_2020_ImageryChoiseul_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 14 15 EPSG:4326:4 8 8 29 30 EPSG:4326:5 17 17 59 60 EPSG:4326:6 34 34 119 120 EPSG:4326:7 68 69 239 240 EPSG:4326:8 137 139 478 480 EPSG:4326:9 274 278 956 961 EPSG:4326:10 548 556 1913 1922 EPSG:4326:11 1096 1113 3826 3845 EPSG:4326:12 2192 2226 7652 7691 EPSG:4326:13 4384 4452 15304 15382 EPSG:4326:14 8768 8904 30608 30765 EPSG:4326:15 17536 17809 61216 61531 EPSG:4326:16 35073 35618 122433 123062 EPSG:4326:17 70147 71237 244867 246125 EPSG:4326:18 140294 142475 489734 492251 EPSG:4326:19 280589 284950 979469 984502 EPSG:4326:20 561178 569901 1958939 1969005 EPSG:4326:21 1122356 1139802 3917879 3938011 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 14 15 EPSG:900913:5 16 16 29 30 EPSG:900913:6 33 33 59 60 EPSG:900913:7 66 66 119 120 EPSG:900913:8 132 133 239 240 EPSG:900913:9 265 267 478 480 EPSG:900913:10 530 534 956 961 EPSG:900913:11 1060 1068 1913 1922 EPSG:900913:12 2120 2137 3826 3845 EPSG:900913:13 4240 4274 7652 7691 EPSG:900913:14 8480 8549 15304 15382 EPSG:900913:15 16961 17098 30608 30765 EPSG:900913:16 33923 34197 61216 61531 EPSG:900913:17 67846 68395 122433 123062 EPSG:900913:18 135692 136791 244867 246125 EPSG:900913:19 271385 273582 489734 492251 EPSG:900913:20 542770 547165 979469 984502 EPSG:900913:21 1085541 1094331 1958939 1969005 EPSG:900913:22 2171082 2188663 3917879 3938011 EPSG:900913:23 4342165 4377327 7835758 7876022 EPSG:900913:24 8684330 8754654 15671517 15752044 EPSG:900913:25 17368661 17509308 31343035 31504089 EPSG:900913:26 34737323 35018616 62686071 63008179 EPSG:900913:27 69474647 70037233 125372142 126016359 EPSG:900913:28 138949294 140074467 250744284 252032719 EPSG:900913:29 277898588 280148934 501488569 504065439 EPSG:900913:30 555797177 560297868 1002977138 1008130879 Global_2013_Abyss_BlueHabitats Global distribution of abyss seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -76.42115940356985 180.0 89.99999999999994 global:Global_2013_Abyss_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 0 127 EPSG:4326:7 0 118 0 255 EPSG:4326:8 0 236 0 511 EPSG:4326:9 0 473 0 1023 EPSG:4326:10 0 946 0 2047 EPSG:4326:11 0 1893 0 4095 EPSG:4326:12 0 3787 0 8191 EPSG:4326:13 0 7574 0 16383 EPSG:4326:14 0 15148 0 32767 EPSG:4326:15 0 30296 0 65535 EPSG:4326:16 0 60592 0 131071 EPSG:4326:17 0 121184 0 262143 EPSG:4326:18 0 242368 0 524287 EPSG:4326:19 0 484736 0 1048575 EPSG:4326:20 0 969473 0 2097151 EPSG:4326:21 0 1938947 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 53 0 63 EPSG:900913:7 0 107 0 127 EPSG:900913:8 0 214 0 255 EPSG:900913:9 0 429 0 511 EPSG:900913:10 0 858 0 1023 EPSG:900913:11 0 1717 0 2047 EPSG:900913:12 0 3435 0 4095 EPSG:900913:13 0 6870 0 8191 EPSG:900913:14 0 13741 0 16383 EPSG:900913:15 0 27482 0 32767 EPSG:900913:16 0 54965 0 65535 EPSG:900913:17 0 109931 0 131071 EPSG:900913:18 0 219862 0 262143 EPSG:900913:19 0 439724 0 524287 EPSG:900913:20 0 879449 0 1048575 EPSG:900913:21 0 1758898 0 2097151 EPSG:900913:22 0 3517796 0 4194303 EPSG:900913:23 0 7035593 0 8388607 EPSG:900913:24 0 14071186 0 16777215 EPSG:900913:25 0 28142372 0 33554431 EPSG:900913:26 0 56284744 0 67108863 EPSG:900913:27 0 112569488 0 134217727 EPSG:900913:28 0 225138977 0 268435455 EPSG:900913:29 0 450277955 0 536870911 EPSG:900913:30 0 900555910 0 1073741823 PLW_2005_DEM10m_USGS A 10-meter resolution land surface digital elevation model (DEM) and for the islands of Palau from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. 134.09684827229006 6.874718731620753 134.64972131020784 7.754260012341108 plw:PLW_2005_DEM10m_USGS text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 6 6 EPSG:4326:3 3 3 13 13 EPSG:4326:4 7 7 27 27 EPSG:4326:5 14 14 55 55 EPSG:4326:6 29 29 111 111 EPSG:4326:7 58 59 223 223 EPSG:4326:8 116 118 446 447 EPSG:4326:9 233 236 893 895 EPSG:4326:10 467 472 1786 1790 EPSG:4326:11 935 945 3573 3580 EPSG:4326:12 1871 1891 7147 7160 EPSG:4326:13 3743 3783 14294 14320 EPSG:4326:14 7486 7566 28589 28640 EPSG:4326:15 14972 15132 57179 57280 EPSG:4326:16 29944 30264 114359 114560 EPSG:4326:17 59889 60529 228718 229120 EPSG:4326:18 119779 121059 457436 458241 EPSG:4326:19 239558 242119 914873 916483 EPSG:4326:20 479116 484239 1829746 1832967 EPSG:4326:21 958232 968479 3659493 3665934 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 6 6 EPSG:900913:4 7 7 13 13 EPSG:900913:5 15 15 27 27 EPSG:900913:6 30 30 55 55 EPSG:900913:7 61 61 111 111 EPSG:900913:8 122 123 223 223 EPSG:900913:9 244 246 446 447 EPSG:900913:10 489 492 893 895 EPSG:900913:11 979 984 1786 1790 EPSG:900913:12 1959 1969 3573 3580 EPSG:900913:13 3919 3939 7147 7160 EPSG:900913:14 7838 7878 14294 14320 EPSG:900913:15 15676 15756 28589 28640 EPSG:900913:16 31352 31513 57179 57280 EPSG:900913:17 62704 63026 114359 114560 EPSG:900913:18 125408 126053 228718 229120 EPSG:900913:19 250816 252107 457436 458241 EPSG:900913:20 501632 504215 914873 916483 EPSG:900913:21 1003265 1008431 1829746 1832967 EPSG:900913:22 2006531 2016862 3659493 3665934 EPSG:900913:23 4013062 4033725 7318987 7331869 EPSG:900913:24 8026125 8067451 14637974 14663739 EPSG:900913:25 16052250 16134902 29275948 29327479 EPSG:900913:26 32104500 32269805 58551896 58654959 EPSG:900913:27 64209000 64539610 117103792 117309918 EPSG:900913:28 128418000 129079221 234207585 234619837 EPSG:900913:29 256836001 258158443 468415170 469239674 EPSG:900913:30 513672002 516316886 936830341 938479349 TUV_2020_ImageryNanumeaNanumanga_Sentinel2 This resource contains satellite imagery for Tuvalu. The imagery was collected on July 20, 2020, September 21, 2020, and October 11, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200921T223641_N0214_R115_T60MVU_20200922T002114 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAK_20200721T002156 S2A_MSIL2A_20200720T222801_N0214_R072_T01LAJ_20200721T002156 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWU_20201012T002111 S2A_MSIL2A_20201011T223641_N0214_R115_T60MWT_20201012T002111 S2A_MSIL2A_20200921T223641_N0214_R115_T60MUU_20200922T002114 175.71364282593638 -6.426652380974976 176.72196793794393 -5.457216020493958 tuv:TUV_2020_ImageryNanumeaNanumanga_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 31 31 EPSG:4326:5 16 17 63 63 EPSG:4326:6 33 34 126 126 EPSG:4326:7 67 68 252 253 EPSG:4326:8 135 137 505 507 EPSG:4326:9 271 274 1011 1014 EPSG:4326:10 543 548 2023 2029 EPSG:4326:11 1086 1097 4047 4058 EPSG:4326:12 2172 2194 8094 8117 EPSG:4326:13 4344 4388 16188 16234 EPSG:4326:14 8688 8776 32377 32469 EPSG:4326:15 17377 17553 64755 64939 EPSG:4326:16 34754 35107 129511 129878 EPSG:4326:17 69509 70215 259022 259757 EPSG:4326:18 139019 140431 518045 519514 EPSG:4326:19 278039 280862 1036091 1039028 EPSG:4326:20 556078 561725 2072182 2078056 EPSG:4326:21 1112157 1123451 4144364 4156112 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 31 31 EPSG:900913:6 32 33 63 63 EPSG:900913:7 65 66 126 126 EPSG:900913:8 131 132 252 253 EPSG:900913:9 263 265 505 507 EPSG:900913:10 527 530 1011 1014 EPSG:900913:11 1055 1060 2023 2029 EPSG:900913:12 2110 2121 4047 4058 EPSG:900913:13 4220 4242 8094 8117 EPSG:900913:14 8440 8485 16188 16234 EPSG:900913:15 16881 16970 32377 32469 EPSG:900913:16 33762 33940 64755 64939 EPSG:900913:17 67525 67880 129511 129878 EPSG:900913:18 135051 135761 259022 259757 EPSG:900913:19 270103 271523 518045 519514 EPSG:900913:20 540207 543046 1036091 1039028 EPSG:900913:21 1080414 1086092 2072182 2078056 EPSG:900913:22 2160829 2172185 4144364 4156112 EPSG:900913:23 4321659 4344370 8288728 8312224 EPSG:900913:24 8643318 8688741 16577457 16624448 EPSG:900913:25 17286636 17377483 33154914 33248897 EPSG:900913:26 34573272 34754966 66309829 66497794 EPSG:900913:27 69146544 69509933 132619658 132995589 EPSG:900913:28 138293089 139019867 265239316 265991178 EPSG:900913:29 276586179 278039734 530478632 531982356 EPSG:900913:30 553172358 556079469 1060957265 1063964712 Global_2013_Canyons_BlueHabitats Global distribution of canyon seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99998386345104 -76.54034688798612 180.0 89.66331039344334 global:Global_2013_Canyons_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 0 127 EPSG:4326:7 0 118 0 255 EPSG:4326:8 0 236 0 511 EPSG:4326:9 0 473 0 1023 EPSG:4326:10 1 947 0 2047 EPSG:4326:11 3 1894 0 4095 EPSG:4326:12 7 3789 0 8191 EPSG:4326:13 15 7579 0 16383 EPSG:4326:14 30 15158 0 32767 EPSG:4326:15 61 30317 0 65535 EPSG:4326:16 122 60635 0 131071 EPSG:4326:17 245 121270 0 262143 EPSG:4326:18 490 242541 0 524287 EPSG:4326:19 980 485083 0 1048575 EPSG:4326:20 1961 970167 0 2097151 EPSG:4326:21 3922 1940335 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 26 0 31 EPSG:900913:6 0 53 0 63 EPSG:900913:7 0 107 0 127 EPSG:900913:8 0 215 0 255 EPSG:900913:9 0 430 0 511 EPSG:900913:10 0 860 0 1023 EPSG:900913:11 0 1720 0 2047 EPSG:900913:12 0 3441 0 4095 EPSG:900913:13 0 6882 0 8191 EPSG:900913:14 0 13764 0 16383 EPSG:900913:15 0 27529 0 32767 EPSG:900913:16 0 55058 0 65535 EPSG:900913:17 0 110116 0 131071 EPSG:900913:18 0 220233 0 262143 EPSG:900913:19 0 440467 0 524287 EPSG:900913:20 0 880934 0 1048575 EPSG:900913:21 0 1761868 0 2097151 EPSG:900913:22 0 3523736 0 4194303 EPSG:900913:23 0 7047473 0 8388607 EPSG:900913:24 0 14094946 0 16777215 EPSG:900913:25 0 28189893 1 33554431 EPSG:900913:26 0 56379786 3 67108863 EPSG:900913:27 0 112759573 6 134217727 EPSG:900913:28 0 225519147 12 268435455 EPSG:900913:29 0 451038295 24 536870911 EPSG:900913:30 0 902076591 48 1073741823 FJI_2019-2020_ImageryVitiLevu_Sentinel2 This resource contains satellite imagery for Viti Levu in Fiji. The imagery was collected on September 5, 2019, September 7, 2019, March 15, 2020, and July 6, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20190904T223011_N0213_R072_T60KXF_20190905T001810 S2B_MSIL2A_20190906T221939_N0213_R029_T60KXF_20190907T002727 S2B_MSIL2A_20200314T221939_N0214_R029_T60KXE_20200315T002807 S2B_MSIL2A_20200705T223009_N0214_R072_T60KWE_20200706T001130 S2B_MSIL2A_20200705T223009_N0214_R072_T60KWF_20200706T001130 176.77719022180642 -18.636905572367567 178.9897609933347 -17.173793171008448 fji:FJI_2019-2020_ImageryVitiLevu_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 9 9 31 31 EPSG:4326:5 19 19 63 63 EPSG:4326:6 38 38 126 127 EPSG:4326:7 76 77 253 255 EPSG:4326:8 152 154 507 510 EPSG:4326:9 304 309 1014 1021 EPSG:4326:10 609 618 2029 2042 EPSG:4326:11 1219 1236 4059 4084 EPSG:4326:12 2438 2472 8118 8169 EPSG:4326:13 4877 4944 16237 16338 EPSG:4326:14 9755 9888 32474 32676 EPSG:4326:15 19510 19776 64949 65352 EPSG:4326:16 39020 39553 129898 130704 EPSG:4326:17 78041 79106 259797 261408 EPSG:4326:18 156083 158213 519594 522816 EPSG:4326:19 312166 316427 1039188 1045633 EPSG:4326:20 624332 632855 2078377 2091266 EPSG:4326:21 1248665 1265711 4156755 4182533 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 17 17 31 31 EPSG:900913:6 35 35 63 63 EPSG:900913:7 70 70 126 127 EPSG:900913:8 140 141 253 255 EPSG:900913:9 280 282 507 510 EPSG:900913:10 561 565 1014 1021 EPSG:900913:11 1123 1131 2029 2042 EPSG:900913:12 2246 2263 4059 4084 EPSG:900913:13 4492 4527 8118 8169 EPSG:900913:14 8985 9055 16237 16338 EPSG:900913:15 17971 18111 32474 32676 EPSG:900913:16 35942 36222 64949 65352 EPSG:900913:17 71884 72444 129898 130704 EPSG:900913:18 143769 144888 259797 261408 EPSG:900913:19 287538 289777 519594 522816 EPSG:900913:20 575076 579555 1039188 1045633 EPSG:900913:21 1150153 1159110 2078377 2091266 EPSG:900913:22 2300306 2318221 4156755 4182533 EPSG:900913:23 4600612 4636442 8313511 8365067 EPSG:900913:24 9201225 9272884 16627022 16730135 EPSG:900913:25 18402451 18545769 33254044 33460270 EPSG:900913:26 36804902 37091538 66508088 66920541 EPSG:900913:27 73609805 74183077 133016177 133841083 EPSG:900913:28 147219610 148366154 266032354 267682167 EPSG:900913:29 294439221 296732308 532064709 535364334 EPSG:900913:30 588878443 593464617 1064129419 1070728668 Global_2013_Troughs_BlueHabitats Global distribution of trough seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -179.99999999999997 -71.9051387451247 180.0 89.04938205712966 global:Global_2013_Troughs_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 28 0 63 EPSG:4326:6 0 57 0 127 EPSG:4326:7 0 115 0 255 EPSG:4326:8 1 230 0 511 EPSG:4326:9 2 460 0 1023 EPSG:4326:10 5 921 0 2047 EPSG:4326:11 10 1842 0 4095 EPSG:4326:12 21 3684 0 8191 EPSG:4326:13 43 7368 0 16383 EPSG:4326:14 86 14736 0 32767 EPSG:4326:15 173 29473 0 65535 EPSG:4326:16 346 58947 0 131071 EPSG:4326:17 692 117895 0 262143 EPSG:4326:18 1384 235791 0 524287 EPSG:4326:19 2768 471582 0 1048575 EPSG:4326:20 5537 943165 0 2097151 EPSG:4326:21 11075 1886331 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 12 0 15 EPSG:900913:5 0 25 0 31 EPSG:900913:6 0 50 0 63 EPSG:900913:7 0 101 0 127 EPSG:900913:8 0 202 0 255 EPSG:900913:9 0 405 0 511 EPSG:900913:10 0 811 0 1023 EPSG:900913:11 0 1622 0 2047 EPSG:900913:12 0 3245 0 4095 EPSG:900913:13 0 6491 0 8191 EPSG:900913:14 0 12983 0 16383 EPSG:900913:15 0 25966 0 32767 EPSG:900913:16 0 51932 0 65535 EPSG:900913:17 0 103865 0 131071 EPSG:900913:18 0 207730 0 262143 EPSG:900913:19 0 415461 0 524287 EPSG:900913:20 0 830922 0 1048575 EPSG:900913:21 0 1661844 0 2097151 EPSG:900913:22 0 3323688 0 4194303 EPSG:900913:23 0 6647376 0 8388607 EPSG:900913:24 0 13294753 0 16777215 EPSG:900913:25 0 26589506 0 33554431 EPSG:900913:26 0 53179012 0 67108863 EPSG:900913:27 0 106358025 0 134217727 EPSG:900913:28 0 212716051 0 268435455 EPSG:900913:29 0 425432103 0 536870911 EPSG:900913:30 0 850864206 0 1073741823 MHL_2020_ImageryNamuAilinglapalap_Sentinel2 This resource contains satellite imagery for Namu Atoll, Jabat Island, and Ailinglaplap Atoll in the Marshall Islands. The imagery was collected on July 3 and 25, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL1C_20200703T232209_N0209_R044_T59NKJ_20200704T004810 S2B_MSIL1C_20200703T232209_N0209_R044_T58NHP_20200704T004810 S2B_MSIL1C_20200703T232209_N0209_R044_T58PHQ_20200704T004810 S2A_MSIL1C_20200725T231241_N0209_R001_T59NKJ_20200726T004604 167.70038121281524 7.127907512828487 169.277536962805 9.047088580113945 mhl:MHL_2020_ImageryNamuAilinglapalap_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 31 EPSG:4326:5 14 14 61 62 EPSG:4326:6 28 29 123 124 EPSG:4326:7 57 58 247 248 EPSG:4326:8 115 117 494 496 EPSG:4326:9 230 235 989 993 EPSG:4326:10 460 471 1978 1987 EPSG:4326:11 921 942 3956 3974 EPSG:4326:12 1842 1885 7912 7948 EPSG:4326:13 3684 3771 15824 15896 EPSG:4326:14 7368 7543 31648 31792 EPSG:4326:15 14737 15086 63296 63584 EPSG:4326:16 29474 30172 126593 127168 EPSG:4326:17 58948 60345 253187 254336 EPSG:4326:18 117896 120691 506375 508672 EPSG:4326:19 235792 241382 1012750 1017344 EPSG:4326:20 471584 482764 2025501 2034689 EPSG:4326:21 943169 965529 4051003 4069378 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 31 EPSG:900913:6 30 30 61 62 EPSG:900913:7 60 61 123 124 EPSG:900913:8 121 122 247 248 EPSG:900913:9 243 245 494 496 EPSG:900913:10 486 491 989 993 EPSG:900913:11 972 983 1978 1987 EPSG:900913:12 1944 1966 3956 3974 EPSG:900913:13 3889 3933 7912 7948 EPSG:900913:14 7778 7866 15824 15896 EPSG:900913:15 15557 15733 31648 31792 EPSG:900913:16 31114 31467 63296 63584 EPSG:900913:17 62228 62934 126593 127168 EPSG:900913:18 124456 125868 253187 254336 EPSG:900913:19 248913 251736 506375 508672 EPSG:900913:20 497826 503472 1012750 1017344 EPSG:900913:21 995652 1006945 2025501 2034689 EPSG:900913:22 1991305 2013890 4051003 4069378 EPSG:900913:23 3982610 4027781 8102006 8138756 EPSG:900913:24 7965220 8055563 16204012 16277513 EPSG:900913:25 15930440 16111126 32408024 32555026 EPSG:900913:26 31860880 32222252 64816048 65110052 EPSG:900913:27 63721760 64444505 129632097 130220104 EPSG:900913:28 127443520 128889011 259264195 260440208 EPSG:900913:29 254887041 257778023 518528391 520880416 EPSG:900913:30 509774083 515556047 1037056782 1041760832 Pacific_2020_GriddedBathymetricData_GEBCO2020 GEBCO’s gridded bathymetric data set, the GEBCO_2020 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2020 Grid is based. If the data sets are used in a presentation or publication then we ask that you acknowledge the source.This should be of the form: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9) The GEBCO Grid is placed in the public domain and may be used free of charge. Use of the GEBCO Grid indicates that the user accepts the conditions of use and disclaimer information. 130.77916666666667 -32.608333333333334 180.0 29.620833333333326 pacific:Pacific_2020_GriddedBathymetricData_GEBCO2020 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 3 3 EPSG:4326:2 1 2 6 7 EPSG:4326:3 2 5 13 15 EPSG:4326:4 5 10 27 31 EPSG:4326:5 10 21 55 63 EPSG:4326:6 21 43 110 127 EPSG:4326:7 42 87 220 255 EPSG:4326:8 85 174 441 511 EPSG:4326:9 171 348 883 1023 EPSG:4326:10 343 697 1767 2047 EPSG:4326:11 686 1395 3535 4095 EPSG:4326:12 1373 2790 7071 8191 EPSG:4326:13 2747 5580 14143 16383 EPSG:4326:14 5495 11160 28287 32767 EPSG:4326:15 10991 22320 56575 65535 EPSG:4326:16 21983 44640 113151 131071 EPSG:4326:17 43966 89280 226302 262143 EPSG:4326:18 87933 178561 452604 524287 EPSG:4326:19 175867 357122 905209 1048575 EPSG:4326:20 351734 714245 1810419 2097151 EPSG:4326:21 703468 1428490 3620839 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 3 3 EPSG:900913:3 3 4 6 7 EPSG:900913:4 6 9 13 15 EPSG:900913:5 13 19 27 31 EPSG:900913:6 26 38 55 63 EPSG:900913:7 52 76 110 127 EPSG:900913:8 105 152 220 255 EPSG:900913:9 211 305 441 511 EPSG:900913:10 423 610 883 1023 EPSG:900913:11 847 1220 1767 2047 EPSG:900913:12 1694 2440 3535 4095 EPSG:900913:13 3389 4881 7071 8191 EPSG:900913:14 6779 9763 14143 16383 EPSG:900913:15 13559 19526 28287 32767 EPSG:900913:16 27118 39053 56575 65535 EPSG:900913:17 54236 78106 113151 131071 EPSG:900913:18 108472 156213 226302 262143 EPSG:900913:19 216944 312426 452604 524287 EPSG:900913:20 433889 624852 905209 1048575 EPSG:900913:21 867778 1249705 1810419 2097151 EPSG:900913:22 1735557 2499410 3620839 4194303 EPSG:900913:23 3471114 4998821 7241679 8388607 EPSG:900913:24 6942228 9997642 14483358 16777215 EPSG:900913:25 13884457 19995284 28966717 33554431 EPSG:900913:26 27768915 39990569 57933435 67108863 EPSG:900913:27 55537830 79981138 115866871 134217727 EPSG:900913:28 111075660 159962277 231733742 268435455 EPSG:900913:29 222151321 319924555 463467485 536870911 EPSG:900913:30 444302642 639849111 926934970 1073741823 Global_2013_Plateaus_BlueHabitats Global distribution of plateau seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -180.0 -73.32857808874456 180.0 89.6167513120335 global:Global_2013_Plateaus_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 58 0 127 EPSG:4326:7 0 116 0 255 EPSG:4326:8 0 232 0 511 EPSG:4326:9 1 464 0 1023 EPSG:4326:10 2 929 0 2047 EPSG:4326:11 4 1858 0 4095 EPSG:4326:12 8 3716 0 8191 EPSG:4326:13 17 7433 0 16383 EPSG:4326:14 34 14866 0 32767 EPSG:4326:15 69 29733 0 65535 EPSG:4326:16 139 59466 0 131071 EPSG:4326:17 279 118932 0 262143 EPSG:4326:18 558 237864 0 524287 EPSG:4326:19 1116 475728 0 1048575 EPSG:4326:20 2232 951457 0 2097151 EPSG:4326:21 4465 1902915 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 12 0 15 EPSG:900913:5 0 25 0 31 EPSG:900913:6 0 51 0 63 EPSG:900913:7 0 103 0 127 EPSG:900913:8 0 206 0 255 EPSG:900913:9 0 412 0 511 EPSG:900913:10 0 825 0 1023 EPSG:900913:11 0 1650 0 2047 EPSG:900913:12 0 3300 0 4095 EPSG:900913:13 0 6600 0 8191 EPSG:900913:14 0 13200 0 16383 EPSG:900913:15 0 26400 0 32767 EPSG:900913:16 0 52800 0 65535 EPSG:900913:17 0 105600 0 131071 EPSG:900913:18 0 211201 0 262143 EPSG:900913:19 0 422403 0 524287 EPSG:900913:20 0 844807 0 1048575 EPSG:900913:21 0 1689614 0 2097151 EPSG:900913:22 0 3379229 0 4194303 EPSG:900913:23 0 6758458 0 8388607 EPSG:900913:24 0 13516916 0 16777215 EPSG:900913:25 0 27033833 0 33554431 EPSG:900913:26 0 54067667 0 67108863 EPSG:900913:27 0 108135335 0 134217727 EPSG:900913:28 0 216270671 0 268435455 EPSG:900913:29 0 432541342 0 536870911 EPSG:900913:30 0 865082685 0 1073741823 Global_2000-2014_SurfacePhosphateMean_BioOracle2 Raster data representing the mean levels of phosphate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfacePhosphateMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 Global_2013_PleistoceneVolcanoes_SmithsonianVOTW The Global Volcanism Program database currently contains 1242 volcanoes thought to have been active during the Pleistocene period (approximately the last 2.5 million years); volcanoes active in the past approximately 10,000 years are on the Holocene list and are not duplicated here. This resource contains the mapped locations of the Pleistocene volcanoes thoughout the world in shapefile format. The Smithsonian Institution's Global Volcanism Program (GVP) is housed in the Department of Mineral Sciences, National Museum of Natural History, in Washington D.C. We are devoted to a better understanding of Earth's active volcanoes and their eruptions during the last 10,000 years. The mission of GVP is to document, understand, and disseminate information about global volcanic activity. We do this through four core functions: reporting, archiving, research, and outreach. The data systems that lie at our core have been in development since 1968 when GVP began documenting the eruptive histories of volcanoes. Reporting. GVP is unique in its documentation of current and past activity for all volcanoes on the planet active during the last 10,000 years. During the early stages of an eruption anywhere in the world we act as a clearinghouse of reports, data, and imagery. Reports are released in two formats. The Smithsonian / USGS Weekly Volcanic Activity Report provides timely information vetted by GVP staff about current eruptions. The Bulletin of the Global Volcanism Network provides comprehensive reporting on recent eruptions on a longer time horizon to allow incorporation of peer-reviewed literature and observatory reports. Archiving. Complementing our effort toward reporting of current eruptive activity is our database of volcanoes and eruptions that documents the last 10,000 years of Earth's volcanism. These databases and interpretations based on them were published in three editions of the book "Volcanoes of the World". Research. GVP researchers are curators in the Department of Mineral Sciences and maintain active research programs on volcanic products, processes, and the deep Earth that is the ultimate source of volcanism. Outreach. This website presents more than 7,000 reports on volcanic activity, provides access to the baseline data and eruptive histories of Holocene volcanoes, and makes available other resources to our international partners, scientists, civil-authorities, and the public. The Global Volcanism Program relies on an international network of collaborating individuals, programs and organizations, many of which are listed below: United States Geological Survey Volcano Hazards Program (USA). The Volcano Hazards Program monitors active and potentially active volcanoes, assesses their hazards, responds to volcanic crises, and conducts research on volcanoes. The Volcano Disaster Assistance Program (VDAP) (with the U.S. Office of Foreign Disaster Assistance) works to reduce fatalities and economic losses in countries experiencing a volcano emergency. Global Volcano Model (Bristol University and the British Geological Survey, UK). GVM is a growing international network that aims to create a sustainable, accessible information platform on volcanic hazard and risk. WOVOdat (Earth Observatory of Singapore). A collective record of volcano monitoring, worldwide - brought to you by the WOVO (World Organization of Volcano Observatories). Integrated Earth Data Applications (Lamont-Doherty Earth Observatory of Columbia University, USA). A community-based data facility to support, sustain, and advance the geosciences by providing data services for observational solid earth data from the Ocean, Earth, and Polar Sciences. VHub (The State University of New York at Buffalo, USA). An online resource for collaboration in volcanology research and risk mitigation. International Association of Volcanology and Chemistry of the Earth's Interior (IAVCEI). IAVCEI represents the primary international focus for: (1) research in volcanology, (2) efforts to mitigate volcanic disasters, and (3) research into closely related disciplines, such as igneous geochemistry and petrology, geochronology, volcanogenic mineral deposits, and the physics of the generation and ascent of magmas in the upper mantle and crust. IAVCEI has charged GVP with providing the official names and unique identifier numbers for the world's volcanoes. National Oceanographic and Atmospheric Administration (NOAA). Volcanic Ash Advisory Centers (VAACs) The International Civil Aviation Organization (ICAO) has established nine Volcanic Ash Advisory Centers tasked with monitoring Volcanic Ash plumes within their assigned airspace. -179.957 -78.58 179.953 79.43 global:Global_2013_PleistoceneVolcanoes_SmithsonianVOTW image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 1 29 0 63 EPSG:4326:6 3 59 0 127 EPSG:4326:7 7 119 0 255 EPSG:4326:8 15 239 0 511 EPSG:4326:9 30 479 0 1023 EPSG:4326:10 60 959 0 2047 EPSG:4326:11 120 1918 0 4095 EPSG:4326:12 240 3836 0 8190 EPSG:4326:13 481 7672 1 16381 EPSG:4326:14 962 15344 3 32763 EPSG:4326:15 1924 30689 7 65527 EPSG:4326:16 3848 61378 15 131054 EPSG:4326:17 7696 122756 31 262109 EPSG:4326:18 15393 245512 62 524219 EPSG:4326:19 30787 491024 125 1048439 EPSG:4326:20 61574 982049 250 2096878 EPSG:4326:21 123149 1964099 500 4193756 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 1 13 0 15 EPSG:900913:5 3 27 0 31 EPSG:900913:6 7 55 0 63 EPSG:900913:7 15 110 0 127 EPSG:900913:8 31 221 0 255 EPSG:900913:9 62 443 0 511 EPSG:900913:10 124 887 0 1023 EPSG:900913:11 248 1774 0 2047 EPSG:900913:12 496 3549 0 4095 EPSG:900913:13 992 7098 0 8190 EPSG:900913:14 1984 14196 1 16381 EPSG:900913:15 3969 28392 3 32763 EPSG:900913:16 7938 56785 7 65527 EPSG:900913:17 15876 113571 15 131054 EPSG:900913:18 31753 227143 31 262109 EPSG:900913:19 63506 454287 62 524219 EPSG:900913:20 127013 908574 125 1048439 EPSG:900913:21 254027 1817149 250 2096878 EPSG:900913:22 508054 3634299 500 4193756 EPSG:900913:23 1016109 7268598 1001 8387512 EPSG:900913:24 2032218 14537196 2003 16775025 EPSG:900913:25 4064436 29074393 4007 33550051 EPSG:900913:26 8128873 58148786 8015 67100102 EPSG:900913:27 16257746 116297573 16031 134200205 EPSG:900913:28 32515493 232595146 32063 268400410 EPSG:900913:29 65030987 465190292 64126 536800820 EPSG:900913:30 130061975 930380584 128252 1073601641 TON_2020_ImageryTongatapuGroup_Sentinel2 This resource contains satellite imagery for the Tongatapu Group in Tonga. The imagery was collected on May 23, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL2A_20200522T215921_N0214_R086_T01KFS_20200523T015205 S2A_MSIL2A_20200522T215921_N0214_R086_T01KGS_20200523T015205 -175.62412691347544 -21.620831197539747 -174.50445881543482 -20.775762540714986 ton:TON_2020_ImageryTongatapuGroup_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 19 19 0 0 EPSG:4326:6 39 39 1 1 EPSG:4326:7 78 79 3 3 EPSG:4326:8 157 158 6 7 EPSG:4326:9 315 317 12 15 EPSG:4326:10 630 634 24 31 EPSG:4326:11 1260 1269 49 62 EPSG:4326:12 2520 2539 99 125 EPSG:4326:13 5041 5079 199 250 EPSG:4326:14 10083 10159 398 500 EPSG:4326:15 20166 20319 796 1000 EPSG:4326:16 40332 40639 1593 2000 EPSG:4326:17 80664 81279 3186 4001 EPSG:4326:18 161328 162559 6372 8003 EPSG:4326:19 322657 325119 12745 16006 EPSG:4326:20 645315 650238 25491 32013 EPSG:4326:21 1290631 1300476 50982 64027 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 35 35 0 0 EPSG:900913:7 71 71 1 1 EPSG:900913:8 143 143 3 3 EPSG:900913:9 286 287 6 7 EPSG:900913:10 572 575 12 15 EPSG:900913:11 1144 1150 24 31 EPSG:900913:12 2289 2300 49 62 EPSG:900913:13 4579 4600 99 125 EPSG:900913:14 9158 9200 199 250 EPSG:900913:15 18317 18400 398 500 EPSG:900913:16 36635 36800 796 1000 EPSG:900913:17 73271 73601 1593 2000 EPSG:900913:18 146543 147203 3186 4001 EPSG:900913:19 293086 294406 6372 8003 EPSG:900913:20 586173 588813 12745 16006 EPSG:900913:21 1172346 1177626 25491 32013 EPSG:900913:22 2344692 2355253 50982 64027 EPSG:900913:23 4689385 4710506 101965 128055 EPSG:900913:24 9378771 9421013 203930 256110 EPSG:900913:25 18757542 18842026 407860 512221 EPSG:900913:26 37515085 37684052 815721 1024443 EPSG:900913:27 75030170 75368105 1631443 2048886 EPSG:900913:28 150060341 150736210 3262887 4097772 EPSG:900913:29 300120682 301472420 6525774 8195544 EPSG:900913:30 600241364 602944841 13051549 16391089 MHL_2020_ImageryMeijit_Sentinel2 This resource contains satellite imagery for Mejit Island in the Marshall Islands. The imagery was collected on February 6, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20200206T231221_N0209_R001_T59PMM_20200207T003700 170.08473397417777 9.861175024224776 171.08929816523272 10.855471303126196 mhl:MHL_2020_ImageryMeijit_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 31 31 EPSG:4326:5 14 14 62 62 EPSG:4326:6 28 28 124 124 EPSG:4326:7 56 56 248 249 EPSG:4326:8 112 113 497 499 EPSG:4326:9 225 227 995 998 EPSG:4326:10 450 455 1991 1997 EPSG:4326:11 900 911 3983 3994 EPSG:4326:12 1800 1823 7966 7989 EPSG:4326:13 3601 3647 15932 15978 EPSG:4326:14 7203 7294 31865 31956 EPSG:4326:15 14407 14588 63730 63913 EPSG:4326:16 28815 29177 127461 127827 EPSG:4326:17 57631 58355 254923 255655 EPSG:4326:18 115262 116710 509847 511310 EPSG:4326:19 230525 233421 1019695 1022621 EPSG:4326:20 461050 466842 2039391 2045243 EPSG:4326:21 922100 933684 4078782 4090486 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 31 31 EPSG:900913:6 30 30 62 62 EPSG:900913:7 60 60 124 124 EPSG:900913:8 120 120 248 249 EPSG:900913:9 240 241 497 499 EPSG:900913:10 480 483 995 998 EPSG:900913:11 961 967 1991 1997 EPSG:900913:12 1923 1935 3983 3994 EPSG:900913:13 3847 3870 7966 7989 EPSG:900913:14 7694 7740 15932 15978 EPSG:900913:15 15389 15481 31865 31956 EPSG:900913:16 30779 30963 63730 63913 EPSG:900913:17 61559 61927 127461 127827 EPSG:900913:18 123119 123855 254923 255655 EPSG:900913:19 246239 247711 509847 511310 EPSG:900913:20 492478 495422 1019695 1022621 EPSG:900913:21 984956 990844 2039391 2045243 EPSG:900913:22 1969913 1981689 4078782 4090486 EPSG:900913:23 3939826 3963379 8157565 8180973 EPSG:900913:24 7879652 7926758 16315131 16361947 EPSG:900913:25 15759304 15853516 32630262 32723894 EPSG:900913:26 31518608 31707032 65260524 65447788 EPSG:900913:27 63037217 63414065 130521048 130895577 EPSG:900913:28 126074435 126828130 261042097 261791155 EPSG:900913:29 252148871 253656260 522084195 523582310 EPSG:900913:30 504297743 507312520 1044168391 1047164620 NIU_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -170.2976891177109 -19.203724554258542 -169.63296689548866 -18.89261344314743 niu:NIU_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 9 9 0 0 EPSG:4326:5 19 19 1 1 EPSG:4326:6 38 38 3 3 EPSG:4326:7 77 77 6 7 EPSG:4326:8 154 155 13 14 EPSG:4326:9 309 310 27 29 EPSG:4326:10 619 621 55 58 EPSG:4326:11 1238 1242 110 117 EPSG:4326:12 2477 2484 220 235 EPSG:4326:13 4955 4969 441 471 EPSG:4326:14 9911 9939 883 943 EPSG:4326:15 19823 19879 1766 1887 EPSG:4326:16 39646 39759 3532 3774 EPSG:4326:17 79293 79519 7065 7549 EPSG:4326:18 158586 159039 14130 15098 EPSG:4326:19 317172 318078 28260 30196 EPSG:4326:20 634345 636157 56520 60392 EPSG:4326:21 1268690 1272315 113040 120784 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 17 17 0 0 EPSG:900913:6 35 35 1 1 EPSG:900913:7 70 70 3 3 EPSG:900913:8 141 141 6 7 EPSG:900913:9 283 283 13 14 EPSG:900913:10 566 567 27 29 EPSG:900913:11 1133 1135 55 58 EPSG:900913:12 2266 2270 110 117 EPSG:900913:13 4533 4541 220 235 EPSG:900913:14 9067 9082 441 471 EPSG:900913:15 18135 18165 883 943 EPSG:900913:16 36271 36331 1766 1887 EPSG:900913:17 72542 72662 3532 3774 EPSG:900913:18 145085 145325 7065 7549 EPSG:900913:19 290170 290650 14130 15098 EPSG:900913:20 580341 581300 28260 30196 EPSG:900913:21 1160683 1162601 56520 60392 EPSG:900913:22 2321367 2325202 113040 120784 EPSG:900913:23 4642735 4650404 226080 241569 EPSG:900913:24 9285470 9300809 452160 483138 EPSG:900913:25 18570940 18601618 904320 966277 EPSG:900913:26 37141881 37203236 1808641 1932555 EPSG:900913:27 74283763 74406473 3617283 3865110 EPSG:900913:28 148567527 148812947 7234567 7730220 EPSG:900913:29 297135055 297625894 14469134 15460440 EPSG:900913:30 594270110 595251789 28938269 30920880 FSM_2005_Hillshade10mKosrae_USGS Hillsahde for Kosrae derived from USGS 10-meter DEM. 162.89453656857302 5.251201849722848 163.05750054896657 5.385924913059566 fsm:FSM_2005_Hillshade10mKosrae_USGS image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 30 EPSG:4326:5 15 15 60 60 EPSG:4326:6 30 30 121 121 EPSG:4326:7 60 60 243 243 EPSG:4326:8 120 120 487 487 EPSG:4326:9 240 241 975 975 EPSG:4326:10 481 482 1950 1951 EPSG:4326:11 962 964 3901 3903 EPSG:4326:12 1925 1928 7802 7806 EPSG:4326:13 3850 3857 15605 15612 EPSG:4326:14 7701 7714 31211 31225 EPSG:4326:15 15403 15428 62422 62451 EPSG:4326:16 30807 30856 124844 124903 EPSG:4326:17 61614 61712 249688 249806 EPSG:4326:18 123228 123424 499376 499613 EPSG:4326:19 246456 246848 998752 999227 EPSG:4326:20 492912 493697 1997505 1998454 EPSG:4326:21 985825 987395 3995010 3996909 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 30 EPSG:900913:6 31 31 60 60 EPSG:900913:7 62 62 121 121 EPSG:900913:8 124 124 243 243 EPSG:900913:9 248 248 487 487 EPSG:900913:10 496 497 975 975 EPSG:900913:11 993 994 1950 1951 EPSG:900913:12 1986 1988 3901 3903 EPSG:900913:13 3973 3976 7802 7806 EPSG:900913:14 7946 7952 15605 15612 EPSG:900913:15 15893 15905 31211 31225 EPSG:900913:16 31786 31810 62422 62451 EPSG:900913:17 63572 63621 124844 124903 EPSG:900913:18 127144 127242 249688 249806 EPSG:900913:19 254288 254485 499376 499613 EPSG:900913:20 508577 508971 998752 999227 EPSG:900913:21 1017154 1017942 1997505 1998454 EPSG:900913:22 2034308 2035885 3995010 3996909 EPSG:900913:23 4068617 4071770 7990021 7993819 EPSG:900913:24 8137235 8143540 15980043 15987638 EPSG:900913:25 16274470 16287081 31960087 31975276 EPSG:900913:26 32548940 32574163 63920174 63950553 EPSG:900913:27 65097881 65148327 127840349 127901106 EPSG:900913:28 130195763 130296654 255680698 255802212 EPSG:900913:29 260391527 260593309 511361396 511604425 EPSG:900913:30 520783054 521186619 1022722792 1023208851 Global_2010_PopulationDensity30sec_GPWv4 The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2010. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. Recommended Citation(s)*: Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H49C6VHW. Accessed DAY MONTH YEAR. -180.0 -90.0 180.0 90.0 global:Global_2010_PopulationDensity30sec_GPWv4 text/plain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 Global_2013_Escarpments_BlueHabitats Global distribution of escarpment seafloor geomorphic features. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains. A detailed description and analysis of the global geomorphic features map can be found in in the scientific paper published in Marine Geology (http://dx.doi.org/10.1016/j.margeo.2014.01.011). The map and the underlying spatial data can be accessed from http://www.bluehabitats.org/ Seafloor Geomorphic Features Map by Harris, P.T., Macmillan-Lawler, M., Rupp, J. and Baker, E.K. 2014. Geomorphology of the oceans. Marine Geology, 352: 4-24. is licensed under a Creative Commons Attribution 4.0 International License. -180.0 -76.98917898581297 180.0 89.60219984768582 global:Global_2013_Escarpments_BlueHabitats image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 0 127 EPSG:4326:7 0 118 0 255 EPSG:4326:8 0 237 0 511 EPSG:4326:9 1 474 0 1023 EPSG:4326:10 2 949 0 2047 EPSG:4326:11 4 1899 0 4095 EPSG:4326:12 9 3799 0 8191 EPSG:4326:13 18 7599 0 16383 EPSG:4326:14 36 15199 0 32767 EPSG:4326:15 72 30399 0 65535 EPSG:4326:16 144 60798 0 131071 EPSG:4326:17 289 121597 0 262143 EPSG:4326:18 579 243195 0 524287 EPSG:4326:19 1158 486391 0 1048575 EPSG:4326:20 2317 972782 0 2097151 EPSG:4326:21 4634 1945564 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 0 54 0 63 EPSG:900913:7 0 108 0 127 EPSG:900913:8 0 216 0 255 EPSG:900913:9 0 432 0 511 EPSG:900913:10 0 865 0 1023 EPSG:900913:11 0 1731 0 2047 EPSG:900913:12 0 3463 0 4095 EPSG:900913:13 0 6926 0 8191 EPSG:900913:14 0 13853 0 16383 EPSG:900913:15 0 27707 0 32767 EPSG:900913:16 0 55415 0 65535 EPSG:900913:17 0 110830 0 131071 EPSG:900913:18 0 221661 0 262143 EPSG:900913:19 0 443322 0 524287 EPSG:900913:20 0 886644 0 1048575 EPSG:900913:21 0 1773289 0 2097151 EPSG:900913:22 0 3546579 0 4194303 EPSG:900913:23 0 7093158 0 8388607 EPSG:900913:24 0 14186316 0 16777215 EPSG:900913:25 0 28372633 0 33554431 EPSG:900913:26 0 56745266 0 67108863 EPSG:900913:27 0 113490532 0 134217727 EPSG:900913:28 0 226981064 0 268435455 EPSG:900913:29 0 453962129 0 536870911 EPSG:900913:30 0 907924259 0 1073741823 NRU_2019_Hillshade1arcsec_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. 166.82712639366704 -0.6086172905911807 167.05684861588927 -0.4422284017022922 nru:NRU_2019_Hillshade1arcsec_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 16 16 61 61 EPSG:4326:6 32 32 123 123 EPSG:4326:7 64 64 246 246 EPSG:4326:8 128 128 493 493 EPSG:4326:9 257 257 986 987 EPSG:4326:10 514 515 1973 1974 EPSG:4326:11 1029 1030 3946 3948 EPSG:4326:12 2058 2061 7892 7897 EPSG:4326:13 4116 4123 15784 15794 EPSG:4326:14 8232 8247 31568 31589 EPSG:4326:15 16464 16494 63137 63179 EPSG:4326:16 32929 32989 126275 126359 EPSG:4326:17 65858 65979 252551 252719 EPSG:4326:18 131716 131958 505103 505438 EPSG:4326:19 263432 263916 1010207 1010876 EPSG:4326:20 526864 527833 2020414 2021752 EPSG:4326:21 1053728 1055666 4040828 4043505 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 32 32 61 61 EPSG:900913:7 64 64 123 123 EPSG:900913:8 128 128 246 246 EPSG:900913:9 256 256 493 493 EPSG:900913:10 513 513 986 987 EPSG:900913:11 1026 1027 1973 1974 EPSG:900913:12 2053 2054 3946 3948 EPSG:900913:13 4106 4109 7892 7897 EPSG:900913:14 8212 8219 15784 15794 EPSG:900913:15 16424 16439 31568 31589 EPSG:900913:16 32848 32878 63137 63179 EPSG:900913:17 65697 65757 126275 126359 EPSG:900913:18 131394 131515 252551 252719 EPSG:900913:19 262788 263030 505103 505438 EPSG:900913:20 525576 526060 1010207 1010876 EPSG:900913:21 1051152 1052121 2020414 2021752 EPSG:900913:22 2102304 2104243 4040828 4043505 EPSG:900913:23 4204608 4208486 8081657 8087010 EPSG:900913:24 8409217 8416972 16163315 16174021 EPSG:900913:25 16818435 16833944 32326631 32348042 EPSG:900913:26 33636870 33667888 64653262 64696085 EPSG:900913:27 67273740 67335777 129306524 129392171 EPSG:900913:28 134547480 134671554 258613049 258784342 EPSG:900913:29 269094961 269343108 517226099 517568685 EPSG:900913:30 538189922 538686217 1034452198 1035137371 MHL_2020_ImageryJaluitKili_Sentinel2 This resource contains satellite imagery for Jaluit Atoll and Kili Island in the Marshall Islands. The imagery was collected on November 11, 2019 and June 15, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2A_MSIL1C_20191108T231231_N0208_R001_T59NKG_20191109T003629 S2A_MSIL1C_20200615T231241_N0209_R001_T59NLG_20200616T004800 168.28838370505312 5.3337873775074085 170.18591373088213 6.332401637137316 mhl:MHL_2020_ImageryJaluitKili_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 15 15 EPSG:4326:4 7 7 30 31 EPSG:4326:5 14 15 61 62 EPSG:4326:6 29 30 123 124 EPSG:4326:7 59 60 247 249 EPSG:4326:8 118 120 495 498 EPSG:4326:9 237 240 990 996 EPSG:4326:10 475 481 1981 1992 EPSG:4326:11 951 963 3962 3984 EPSG:4326:12 1903 1926 7925 7968 EPSG:4326:13 3807 3853 15850 15937 EPSG:4326:14 7615 7706 31701 31874 EPSG:4326:15 15231 15413 63403 63749 EPSG:4326:16 30462 30826 126807 127498 EPSG:4326:17 60924 61652 253615 254997 EPSG:4326:18 121849 123304 507231 509995 EPSG:4326:19 243699 246608 1014463 1019990 EPSG:4326:20 487399 493216 2028926 2039980 EPSG:4326:21 974798 986432 4057853 4079961 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 15 15 EPSG:900913:5 15 15 30 31 EPSG:900913:6 30 31 61 62 EPSG:900913:7 61 62 123 124 EPSG:900913:8 123 124 247 249 EPSG:900913:9 246 248 495 498 EPSG:900913:10 493 496 990 996 EPSG:900913:11 987 993 1981 1992 EPSG:900913:12 1975 1987 3962 3984 EPSG:900913:13 3951 3974 7925 7968 EPSG:900913:14 7903 7948 15850 15937 EPSG:900913:15 15806 15897 31701 31874 EPSG:900913:16 31612 31795 63403 63749 EPSG:900913:17 63225 63591 126807 127498 EPSG:900913:18 126451 127182 253615 254997 EPSG:900913:19 252902 254364 507231 509995 EPSG:900913:20 505805 508729 1014463 1019990 EPSG:900913:21 1011611 1017459 2028926 2039980 EPSG:900913:22 2023223 2034918 4057853 4079961 EPSG:900913:23 4046447 4069837 8115707 8159923 EPSG:900913:24 8092894 8139675 16231415 16319846 EPSG:900913:25 16185788 16279351 32462830 32639692 EPSG:900913:26 32371576 32558702 64925660 65279385 EPSG:900913:27 64743152 65117405 129851320 130558771 EPSG:900913:28 129486304 130234810 259702641 261117542 EPSG:900913:29 258972609 260469621 519405283 522235085 EPSG:900913:30 517945219 520939243 1038810567 1044470171 FSM_2019_ImageryYap_Sentinel2 This resource contains satellite imagery for Yap. The imagery was collected on April 12, 2019. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. 137.79964223596693 9.254576445451201 138.46088824575165 9.785971476256643 fsm:FSM_2019_ImageryYap_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 3 3 EPSG:4326:2 1 1 7 7 EPSG:4326:3 3 3 14 14 EPSG:4326:4 7 7 28 28 EPSG:4326:5 14 14 56 56 EPSG:4326:6 28 28 112 113 EPSG:4326:7 57 57 225 226 EPSG:4326:8 114 114 451 452 EPSG:4326:9 228 229 903 905 EPSG:4326:10 456 459 1807 1811 EPSG:4326:11 912 918 3615 3623 EPSG:4326:12 1825 1837 7231 7246 EPSG:4326:13 3650 3674 14463 14493 EPSG:4326:14 7301 7349 28926 28987 EPSG:4326:15 14602 14699 57853 57974 EPSG:4326:16 29205 29398 115707 115948 EPSG:4326:17 58410 58797 231414 231896 EPSG:4326:18 116820 117594 462829 463792 EPSG:4326:19 233640 235188 925658 927584 EPSG:4326:20 467280 470376 1851317 1855169 EPSG:4326:21 934561 940752 3702634 3710338 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 3 3 EPSG:900913:3 3 3 7 7 EPSG:900913:4 7 7 14 14 EPSG:900913:5 15 15 28 28 EPSG:900913:6 30 30 56 56 EPSG:900913:7 60 60 112 113 EPSG:900913:8 121 121 225 226 EPSG:900913:9 242 242 451 452 EPSG:900913:10 484 485 903 905 EPSG:900913:11 968 971 1807 1811 EPSG:900913:12 1936 1942 3615 3623 EPSG:900913:13 3872 3884 7231 7246 EPSG:900913:14 7744 7768 14463 14493 EPSG:900913:15 15488 15537 28926 28987 EPSG:900913:16 30977 31075 57853 57974 EPSG:900913:17 61955 62151 115707 115948 EPSG:900913:18 123911 124303 231414 231896 EPSG:900913:19 247822 248607 462829 463792 EPSG:900913:20 495644 497214 925658 927584 EPSG:900913:21 991289 994428 1851317 1855169 EPSG:900913:22 1982578 1988856 3702634 3710338 EPSG:900913:23 3965157 3977712 7405268 7420676 EPSG:900913:24 7930315 7955425 14810536 14841353 EPSG:900913:25 15860630 15910851 29621073 29682706 EPSG:900913:26 31721260 31821703 59242147 59365412 EPSG:900913:27 63442520 63643406 118484294 118730824 EPSG:900913:28 126885040 127286812 236968588 237461649 EPSG:900913:29 253770080 254573624 473937177 474923298 EPSG:900913:30 507540161 509147249 947874354 949846597 Global_2020_MarineSpeciesRichness_AquaMaps Raster depicting species richness values for marine species (with a probability of occurrence > 0.5) derived from AquaMaps. A total of 33,512 species were used in the generation of this file. AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These 'environmental envelopes' are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species. Maps show the color-coded likelihood of a species to occur in a half-degree cell, with about 50 km side length near the equator. Experts are able to review, modify and approve maps. Environmental envelopes are created in part (FAO areas, bounding boxes, depth ranges) from respective information in species databases such as FishBase and in part from occurrence records available from OBIS or GBIF. AquaMaps predictions have been validated successfully for a number of species using independent data sets and the model was shown to perform equally well or better than other standard species distribution models, when faced with the currently existing suboptimal input data sets (Ready et al. 2010). The creation of AquaMaps is supported by the following projects: MARA, Pew Fellows Program in Marine Conservation, INCOFISH, Sea Around Us, and Biogeoinformatics of Hexacorals. Kaschner, K., D.P. Tittensor, J. Ready, T Gerrodette and B. Worm (2011). Current and Future Patterns of Global Marine Mammal Biodiversity. PLoS ONE 6(5): e19653. PDF Ready, J., K. Kaschner, A.B. South, P.D Eastwood, T. Rees, J. Rius, E. Agbayani, S. Kullander and R. Froese (2010). Predicting the distributions of marine organisms at the global scale. Ecological Modelling 221(3): 467-478. PDF Copyright Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. (CC-BY-NC) You are welcome to include maps from www.aquamaps.org in your own web sites for non-commercial use, given that such inserts are clearly identified as coming from AquaMaps, with a backward link to the respective source page. Contacts Rainer Froese, GEOMAR, Coordinator rfroese@geomar.de Kristin Kaschner, Uni Freiburg, model development Kristin.Kaschner@biologie.uni-freiburg.de Ma. Lourdes D. Palomares, UBC, extension to non-fish marine organisms m.palomares@fisheries.ubc.ca Sven Kullander, NRM, extension to freshwater ve-sven@nrm.se Jonathan Ready, NRM, implementation jonathan.ready@gmail.com Tony Rees, formerly with CSIRO, mapping tools Tony.Rees@marinespecies.org Paul Eastwood, SOPAC, validation Paul.Eastwood@sopac.org Andy South, CEFAS, validation andy.south@cefas.co.uk Josephine Rius-Barile, Q-quatics, database programming / data collection j.barile@q-quatics.org Cristina Garilao, GEOMAR, web programming cgarilao@geomar.de Kathleen Kesner-Reyes, Q-quatics, map validation k.reyes@q-quatics.org Elizabeth Bato, Q-quatics, map validation (non-fish) e.david@q-quatics.org Citing AquaMaps General citation Kaschner, K., K. Kesner-Reyes, C. Garilao, J. Rius-Barile, T. Rees, and R. Froese. 2019. AquaMaps: Predicted range maps for aquatic species. World wide web electronic publication, www.aquamaps.org, version 10/2019. Cite individual maps as, e.g., Computer Generated Map for Gadus morhua (Atlantic cod). www.aquamaps.org, version 10/2019 (accessed 01 Oct 2019). Reviewed Native Distribution Map for Gadus morhua (Atlantic cod). www.aquamaps.org, version 10/2019 (accessed 01 Oct 2019). Cite biodiversity maps as, e.g., Shark and Ray Biodiversity Map. www.aquamaps.org, version 10/2019 (accessed 01 Oct 2019). Cite the environmental dataset as, e.g., Kesner-Reyes, K., Segschneider, J., Garilao, C., Schneider, B., Rius-Barile, J., Kaschner, K., and Froese, R.(editors). AquaMaps Environmental Dataset: Half-Degree Cells Authority File (HCAF). World Wide Web electronic publication, www.aquamaps.org/main/envt_main.php, ver. 7, 10/2019. Using Full or Large Sets of AquaMaps Data We encourage partnering with the AquaMaps team for larger research projects or publications that would make intensive use of AquaMaps to ensure that you have access to the latest version and/or reviewed maps, the limitations of the data set are clearly understood and addressed, and that critical maps and/or unlikely results are recognized as such and double-checked for correctness prior to drawing conclusions and/or subsequent publication. The AquaMaps team can be contacted through Rainer Froese (rfroese@geomar.de) or Kristin Kaschner (Kristin.Kaschner@biologie.uni-freiburg.de). Privacy Policy AquaMaps uses log data generate usage statistics. Like most websites, AquMaps gathers information about internet protocol (IP) addresses, browser, referring pages, operating system, date/time, clicks, and visited pages, and store it in log files. This information is used to find errors in our website, analyze trends, and determine country of origin of our users. The log files are stored indefinitely. Only the administrators of the AquaMaps server has direct access to the log files. The information is used to inform further development of AquaMaps. Usage statistics may be shared with third parties for non-commercial purposes. Disclaimer AquaMaps generates standardized computer-generated and fairly reliable large scale predictions of marine and freshwater species. Although the AquaMaps team and their collaborators have obtained data from sources believed to be reliable and have made every reasonable effort to ensure its accuracy, many maps have not yet been verified by experts and we strongly suggest you verify species occurrences with independent sources before usage. We will not be held responsible for any consequence from the use or misuse of these data and/or maps by any organization or individual. Copyright This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License (CC-BY-NC). You are welcome to include text, numbers and maps from AquaMaps in your own web sites for non-commercial use, given that such inserts are clearly identified as coming from AquaMaps, with a backward link to the respective source page. Note that although species photos and drawings draw mainly from FishBase and SeaLifeBase, they belong to the indicated persons or organizations and have their own copyright statements. -180.0 -78.5 180.0 90.0 global:Global_2020_MarineSpeciesRichness_AquaMaps image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 0 3 EPSG:4326:2 0 3 0 7 EPSG:4326:3 0 7 0 15 EPSG:4326:4 0 14 0 31 EPSG:4326:5 0 29 0 63 EPSG:4326:6 0 59 0 127 EPSG:4326:7 0 119 0 255 EPSG:4326:8 0 239 0 511 EPSG:4326:9 0 479 0 1023 EPSG:4326:10 0 958 0 2047 EPSG:4326:11 0 1917 0 4095 EPSG:4326:12 0 3834 0 8191 EPSG:4326:13 0 7668 0 16383 EPSG:4326:14 0 15337 0 32767 EPSG:4326:15 0 30674 0 65535 EPSG:4326:16 0 61348 0 131071 EPSG:4326:17 0 122697 0 262143 EPSG:4326:18 0 245395 0 524287 EPSG:4326:19 0 490791 0 1048575 EPSG:4326:20 0 981583 0 2097151 EPSG:4326:21 0 1963167 0 4194303 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 0 3 0 3 EPSG:900913:3 0 6 0 7 EPSG:900913:4 0 13 0 15 EPSG:900913:5 0 27 0 31 EPSG:900913:6 0 55 0 63 EPSG:900913:7 0 110 0 127 EPSG:900913:8 0 221 0 255 EPSG:900913:9 0 443 0 511 EPSG:900913:10 0 886 0 1023 EPSG:900913:11 0 1772 0 2047 EPSG:900913:12 0 3544 0 4095 EPSG:900913:13 0 7089 0 8191 EPSG:900913:14 0 14178 0 16383 EPSG:900913:15 0 28356 0 32767 EPSG:900913:16 0 56712 0 65535 EPSG:900913:17 0 113425 0 131071 EPSG:900913:18 0 226850 0 262143 EPSG:900913:19 0 453700 0 524287 EPSG:900913:20 0 907401 0 1048575 EPSG:900913:21 0 1814803 0 2097151 EPSG:900913:22 0 3629607 0 4194303 EPSG:900913:23 0 7259215 0 8388607 EPSG:900913:24 0 14518431 0 16777215 EPSG:900913:25 0 29036863 0 33554431 EPSG:900913:26 0 58073726 0 67108863 EPSG:900913:27 0 116147453 0 134217727 EPSG:900913:28 0 232294907 0 268435455 EPSG:900913:29 0 464589814 0 536870911 EPSG:900913:30 0 929179629 0 1073741823 Global_2000-2014_SurfaceDissolvedOxygenMean_BioOracle2 Raster data representing the mean levels of dissolved oxygen in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator). Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation. Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask. The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. -180.0 -90.0 180.0 90.0 global:Global_2000-2014_SurfaceDissolvedOxygenMean_BioOracle2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 SLB_2019-2020_ImagerySantaIsabel_Sentinel2 This resource contains satellite imagery for Santa Isabel Island in the Solomon Islands. The imagery was collected on September 26, 2019, March 16, 2020, June 24, 2020, and October 2, 2020. More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used. The image was mosaicked from the following individual Sentinel-2 scenes: S2B_MSIL2A_20190926T235739_N0213_R030_T57MUM_20190927T015140 S2A_MSIL2A_20200316T234741_N0214_R130_T57LVL_20200317T015924 S2A_MSIL2A_20200624T234751_N0214_R130_T57MVM_20200625T015109 S2A_MSIL2A_20201002T234751_N0214_R130_T57MWM_20201003T014939 S2A_MSIL2A_20201002T234751_N0214_R130_T57LVL_20201003T014939 S2A_MSIL2A_20201002T234751_N0214_R130_T57LWL_20201003T014939 157.82466830644253 -8.598920865141649 159.99861889558196 -7.232717457881782 slb:SLB_2019-2020_ImagerySantaIsabel_Sentinel2 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 1 1 3 3 EPSG:4326:2 2 2 7 7 EPSG:4326:3 4 4 15 15 EPSG:4326:4 8 8 30 30 EPSG:4326:5 17 17 60 60 EPSG:4326:6 34 35 120 120 EPSG:4326:7 69 70 240 241 EPSG:4326:8 138 140 480 483 EPSG:4326:9 276 280 960 967 EPSG:4326:10 553 560 1921 1934 EPSG:4326:11 1106 1121 3843 3868 EPSG:4326:12 2212 2243 7687 7736 EPSG:4326:13 4425 4487 15374 15473 EPSG:4326:14 8850 8974 30749 30947 EPSG:4326:15 17700 17949 61499 61894 EPSG:4326:16 35401 35898 122998 123789 EPSG:4326:17 70802 71797 245996 247579 EPSG:4326:18 141605 143595 491992 495158 EPSG:4326:19 283210 287190 983985 990317 EPSG:4326:20 566421 574380 1967971 1980635 EPSG:4326:21 1132843 1148760 3935942 3961271 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 1 1 EPSG:900913:2 2 2 3 3 EPSG:900913:3 4 4 7 7 EPSG:900913:4 8 8 15 15 EPSG:900913:5 16 16 30 30 EPSG:900913:6 33 33 60 60 EPSG:900913:7 66 67 120 120 EPSG:900913:8 133 134 240 241 EPSG:900913:9 266 268 480 483 EPSG:900913:10 532 536 960 967 EPSG:900913:11 1065 1073 1921 1934 EPSG:900913:12 2130 2146 3843 3868 EPSG:900913:13 4261 4292 7687 7736 EPSG:900913:14 8522 8584 15374 15473 EPSG:900913:15 17044 17169 30749 30947 EPSG:900913:16 34088 34339 61499 61894 EPSG:900913:17 68176 68678 122998 123789 EPSG:900913:18 136352 137357 245996 247579 EPSG:900913:19 272705 274714 491992 495158 EPSG:900913:20 545410 549428 983985 990317 EPSG:900913:21 1090821 1098857 1967971 1980635 EPSG:900913:22 2181643 2197714 3935942 3961271 EPSG:900913:23 4363287 4395429 7871885 7922542 EPSG:900913:24 8726575 8790859 15743770 15845084 EPSG:900913:25 17453151 17581719 31487541 31690168 EPSG:900913:26 34906303 35163438 62975082 63380336 EPSG:900913:27 69812606 70326877 125950165 126760672 EPSG:900913:28 139625213 140653754 251900330 253521345 EPSG:900913:29 279250427 281307508 503800660 507042690 EPSG:900913:30 558500854 562615017 1007601321 1014085381 KIR_2019_DEM30mPhoenixIslands_ASTERv3 The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1° by 1° tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. -175.00013888888898 -5.000138888888858 -169.99986111111124 -1.9998611111111098 kir:KIR_2019_DEM30mPhoenixIslands_ASTERv3 image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 1 1 0 0 EPSG:4326:2 2 2 0 0 EPSG:4326:3 4 4 0 0 EPSG:4326:4 8 8 0 0 EPSG:4326:5 16 16 0 1 EPSG:4326:6 32 33 1 3 EPSG:4326:7 65 67 3 7 EPSG:4326:8 130 135 7 14 EPSG:4326:9 261 270 14 28 EPSG:4326:10 523 540 28 56 EPSG:4326:11 1046 1080 56 113 EPSG:4326:12 2093 2161 113 227 EPSG:4326:13 4187 4323 227 455 EPSG:4326:14 8374 8647 455 910 EPSG:4326:15 16748 17294 910 1820 EPSG:4326:16 33496 34588 1820 3640 EPSG:4326:17 66992 69176 3640 7281 EPSG:4326:18 133984 138353 7281 14563 EPSG:4326:19 267969 276707 14563 29127 EPSG:4326:20 535938 553415 29126 58255 EPSG:4326:21 1071876 1106831 58252 116510 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 1 1 0 0 EPSG:900913:2 2 2 0 0 EPSG:900913:3 4 4 0 0 EPSG:900913:4 8 8 0 0 EPSG:900913:5 16 16 0 0 EPSG:900913:6 32 32 0 1 EPSG:900913:7 64 65 1 3 EPSG:900913:8 129 131 3 7 EPSG:900913:9 258 263 7 14 EPSG:900913:10 517 526 14 28 EPSG:900913:11 1035 1052 28 56 EPSG:900913:12 2070 2104 56 113 EPSG:900913:13 4141 4209 113 227 EPSG:900913:14 8283 8419 227 455 EPSG:900913:15 16566 16839 455 910 EPSG:900913:16 33132 33679 910 1820 EPSG:900913:17 66264 67358 1820 3640 EPSG:900913:18 132528 134717 3640 7281 EPSG:900913:19 265057 269435 7281 14563 EPSG:900913:20 530114 538870 14563 29127 EPSG:900913:21 1060228 1077740 29126 58255 EPSG:900913:22 2120456 2155481 58252 116510 EPSG:900913:23 4240913 4310963 116505 233020 EPSG:900913:24 8481827 8621927 233010 466040 EPSG:900913:25 16963654 17243855 466020 932080 EPSG:900913:26 33927308 34487710 932041 1864160 EPSG:900913:27 67854617 68975421 1864083 3728321 EPSG:900913:28 135709235 137950843 3728166 7456643 EPSG:900913:29 271418470 275901686 7456333 14913287 EPSG:900913:30 542836941 551803373 14912666 29826575 Pacific_2015-2019_EarthquakeMag4.5_USGS Earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2015-2019. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks. Fields are defined below: alert Data Type: String Typical Values: “green”, “yellow”, “orange”, “red”. Description: The alert level from the PAGER earthquake impact scale. cdi Data Type: Decimal Typical Values: [0.0, 10.0] Description: The maximum reported intensity for the event. Computed by DYFI. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. code Data Type: String Typical Values: "2013lgaz", "c000f1jy", "71935551" Description: An identifying code assigned by - and unique from - the corresponding source for the event. Depth Data Type: Decimal Typical Values: [0, 1000] Description: Depth of the event in kilometers. Additional Information: The depth where the earthquake begins to rupture. This depth may be relative to the WGS84 geoid, mean sea-level, or the average elevation of the seismic stations which provided arrival-time data for the earthquake location. The choice of reference depth is dependent on the method used to locate the earthquake, which varies by seismic network. Since ComCat includes data from many different seismic networks, the process for determining the depth is different for different events. The depth is the least-constrained parameter in the earthquake location, and the error bars are generally larger than the variation due to different depth determination methods. Sometimes when depth is poorly constrained by available seismic data, the location program will set the depth at a fixed value. For example, 33 km is often used as a default depth for earthquakes determined to be shallow, but whose depth is not satisfactorily determined by the data, whereas default depths of 5 or 10 km are often used in mid-continental areas and on mid-ocean ridges since earthquakes in these areas are usually shallower than 33 km. depthError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported depth of the event in kilometers. Additional Information: The depth error, in km, defined as the largest projection of the three principal errors on a vertical line. detail Data Type: String Description: Link to GeoJSON detail feed from a GeoJSON summary feed. NOTE: When searching and using geojson with callback, no callback is included in the detail url. dmin Data Type: Decimal Typical Values: [0.4, 7.1] Description: Horizontal distance from the epicenter to the nearest station (in degrees). 1 degree is approximately 111.2 kilometers. In general, the smaller this number, the more reliable is the calculated depth of the earthquake. felt Data Type: Integer Typical Values: [44, 843] Description: The total number of felt reports submitted to the DYFI? system. gap Data Type: Decimal Typical Values: [0.0, 180.0] Description: The largest azimuthal gap between azimuthally adjacent stations (in degrees). In general, the smaller this number, the more reliable is the calculated horizontal position of the earthquake. Earthquake locations in which the azimuthal gap exceeds 180 degrees typically have large location and depth uncertainties. horizontalError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported location of the event in kilometers. Additional Information: The horizontal location error, in km, defined as the length of the largest projection of the three principal errors on a horizontal plane. The principal errors are the major axes of the error ellipsoid, and are mutually perpendicular. The horizontal and vertical uncertainties in an event's location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. id Data Type: String Typical Values: A (generally) two-character network identifier with a (generally) eight-character network-assigned code. Description: A unique identifier for the event. This is the current preferred id for the event, and may change over time. See the "ids" GeoJSON format property. ids Data Type: String Typical Values: ",ci15296281,us2013mqbd,at00mji9pf," Description: A comma-separated list of event ids that are associated to an event. latitude Data Type: Decimal Typical Values: [-90.0, 90.0] Description: Decimal degrees latitude. Negative values for southern latitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. locationSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The network that originally authored the reported location of this event. longitude Data Type: Decimal Typical Values: [-180.0, 180.0] Description: Decimal degrees longitude. Negative values for western longitudes. Additional Information: An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. mag Data Type: Decimal Typical Values: [-1.0, 10.0] Description: The magnitude for the event. See also magType. Additional Information: The magnitude reported is that which the U.S. Geological Survey considers official for this earthquake, and was the best available estimate of the earthquake’s size, at the time that this page was created. Other magnitudes associated with web pages linked from here are those determined at various times following the earthquake with different types of seismic data. Although they are legitimate estimates of magnitude, the U.S. Geological Survey does not consider them to be the preferred "official" magnitude for the event. Earthquake magnitude is a measure of the size of an earthquake at its source. It is a logarithmic measure. At the same distance from the earthquake, the amplitude of the seismic waves from which the magnitude is determined are approximately 10 times as large during a magnitude 5 earthquake as during a magnitude 4 earthquake. The total amount of energy released by the earthquake usually goes up by a larger factor: for many commonly used magnitude types, the total energy of an average earthquake goes up by a factor of approximately 32 for each unit increase in magnitude. There are various ways that magnitude may be calculated from seismograms. Different methods are effective for different sizes of earthquakes and different distances between the earthquake source and the recording station. The various magnitude types are generally defined so as to yield magnitude values that agree to within a few-tenths of a magnitude-unit for earthquakes in a middle range of recorded-earthquake sizes, but the various magnitude-types may have values that differ by more than a magnitude-unit for very large and very small earthquakes as well as for some specific classes of seismic source. This is because earthquakes are commonly complex events that release energy over a wide range of frequencies and at varying amounts as the faulting or rupture process occurs. The various types of magnitude measure different aspects of the seismic radiation (e.g., low-frequency energy vs. high-frequency energy). The relationship among values of different magnitude types that are assigned to a particular seismic event may enable the seismologist to better understand the processes at the focus of the seismic event. The various magnitude-types are not all available at the same time for a particular earthquake. Preliminary magnitudes based on incomplete but rapidly-available data are sometimes estimated and reported. For example, the Tsunami Warning Centers will calculate a preliminary magnitude and location for an event as soon as sufficient data are available to make an estimate. In this case, time is of the essence in order to broadcast a warning if tsunami waves are likely to be generated by the event. Such preliminary magnitudes are superseded by improved estimates of magnitude as more data become available. For large earthquakes of the present era, the magnitude that is ultimately selected as the preferred magnitude for reporting to the public is commonly a moment magnitude that is based on the scalar seismic-moment of an earthquake determined by calculation of the seismic moment-tensor that best accounts for the character of the seismic waves generated by the earthquake. The scalar seismic-moment, a parameter of the seismic moment-tensor, can also be estimated via the multiplicative product rigidity of faulted rock x area of fault rupture x average fault displacement during the earthquake. magError Data Type: Decimal Typical Values: [0, 100] Description: Uncertainty of reported magnitude of the event. The estimated standard error of the magnitude. The uncertainty corresponds to the specific magnitude type being reported and does not take into account magnitude variations and biases between different magnitude scales. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. magNst Data Type: Integer Description: The total number of seismic stations used to calculate the magnitude for this earthquake. magSource Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: Network that originally authored the reported magnitude for this event. magType Data Type: String Typical Values: “Md”, “Ml”, “Ms”, “Mw”, “Me”, “Mi”, “Mb”, “MLg” Description: The method or algorithm used to calculate the preferred magnitude for the event. Additional Information: See Magnitude Types Table. mmi Data Type: Decimal Typical Values:[0.0, 10.0] Description: The maximum estimated instrumental intensity for the event. Computed by ShakeMap. While typically reported as a roman numeral, for the purposes of this API, intensity is expected as the decimal equivalent of the roman numeral. Learn more about magnitude vs. intensity. net Data Type: String Typical Values: ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw Description: The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event. nph Data Type: String Description: Number of Phases Used. Number of P and S arrival-time observations used to compute the hypocenter location. Increased numbers of arrival-time observations generally result in improved earthquake locations. nst Data Type: Integer Description: The total number of seismic stations used to determine earthquake location. Additional Information: Number of seismic stations which reported P- and S-arrival times for this earthquake. This number may be larger than the Number of Phases Used if arrival times are rejected because the distance to a seismic station exceeds the maximum allowable distance or because the arrival-time observation is inconsistent with the solution. place Data Type: String Description: Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name. Additional Information: We use a GeoNames dataset to reference populated places that are in close proximity to a seismic event. GeoNames has compiled a list of cities in the United States where the population is 1,000 or greater (cities1000.txt). This is the primary list that we use when selecting nearby places. In order to provide the public with a better understanding for the location of an event we try to list a variety of places in our nearby places list. This includes the closest known populated place in relation to the seismic event (which based on our dataset will have a population of 1,000 or greater). We also include the next 3 closest places that have a population of 10,000 or greater, and finally make sure to include the closest capital city to the seismic event. The reference point for the descriptive locations is usually either the City Hall of the town (or prominent intersection in the middle of town if there is no City Hall), but please refer to the GeoNames website for the most accurate information on their data. If there is no nearby city within 300 kilometers (or if the nearby cities database is unavailable for some reason), the Flinn-Engdahl (F-E) seismic and geographical regionalization scheme is used. The boundaries of these regions are defined at one-degree intervals and therefore differ from irregular political boundaries. For example, F-E region 545 (Northern Italy) also includes small parts of France, Switzerland, Austria and Slovenia and F-E region 493 (Chesapeake Bay Region) includes all of the State of Delaware, plus parts of the District of Columbia, Maryland, New Jersey, Pennsylvania and Virginia. Beginning with January 2000, the 1995 revision to the F-E code has been used in the QED and PDE listings. As an agency of the U.S. Government, we are expected to use the names and spellings approved by the U.S. Board on Geographic Names. Any requests to approve additional names should be made to the U.S. Board on Geographic Names. rms Data Type: Decimal Typical Values: [0.13,1.39] Description: The root-mean-square (RMS) travel time residual, in sec, using all weights. This parameter provides a measure of the fit of the observed arrival times to the predicted arrival times for this location. Smaller numbers reflect a better fit of the data. The value is dependent on the accuracy of the velocity model used to compute the earthquake location, the quality weights assigned to the arrival time data, and the procedure used to locate the earthquake. sig Data Type: Integer Typical Values: [0, 1000] Description: A number describing how significant the event is. Larger numbers indicate a more significant event. This value is determined on a number of factors, including: magnitude, maximum MMI, felt reports, and estimated impact. sources Data Type: String Typical Values: ",us,nc,ci," Description: A comma-separated list of network contributors. status Data Type: String Typical Values: “automatic”, “reviewed”, “deleted” Description: Indicates whether the event has been reviewed by a human. Additional Information Status is either automatic or reviewed. Automatic events are directly posted by automatic processing systems and have not been verified or altered by a human. Reviewed events have been looked at by a human. The level of review can range from a quick validity check to a careful reanalysis of the event. time Data Type: Long Integer Description: Time when the event occurred. Times are reported in milliseconds since the epoch ( 1970-01-01T00:00:00.000Z), and do not include leap seconds. In certain output formats, the date is formatted for readability. Additional Information: We indicate the date and time when the earthquake initiates rupture, which is known as the "origin" time. Note that large earthquakes can continue rupturing for many 10's of seconds. We provide time in UTC (Coordinated Universal Time). Seismologists use UTC to avoid confusion caused by local time zones and daylight savings time. On the individual event pages, times are also provided for the time at the epicenter, and your local time based on the time your computer is set. tsunami Data Type: Integer Description: This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist. If the flag value is "1", the event will include a link to the NOAA Tsunami website for tsunami information. The USGS is not responsible for Tsunami warning; we are simply providing a link to the authoritative NOAA source. See http://www.tsunami.gov/ for all current tsunami alert statuses. type Data Type: String Typical Values: “earthquake”, “quarry” Description: Type of seismic event. types Data Type: String Typical Values: “,cap,dyfi,general-link,origin,p-wave-travel-times,phase-data,” Description: A comma-separated list of product types associated to this event. tz Data Type: Integer Typical Values: [-1200, +1200] Description: Timezone offset from UTC in minutes at the event epicenter. updated Data Type: Long Integer Description: Time when the event was most recently updated. Times are reported in milliseconds since the epoch. 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