WMS This is a description of your Web Map Server. WFS WMS GEOSERVER

NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html text/javascript application/json XML INIMAGE BLANK JSON JSONP This is a description of your Web Map Server. EPSG:4326 EPSG:3785 EPSG:3857 EPSG:900913 EPSG:32647 EPSG:32736 CRS:84 -180.0 180.00000000010004 -90.0 114.6430958 geonode:2d_seismic_brazil ANP’s GeoMapsANP viewer exposes nationwide 2D and 3D seismic information (pre-stack and post-stack) for Brazil’s sedimentary basins. Interactive map access is public, downloading raw technical datasets typically occurs via ANP’ “Acesso aos dados técnicos” workflows.   Source:https://geomaps.anp.gov.br/geoanp features 2d_seismic_brazil EPSG:4674 CRS:84 -73.7226002352196 -30.621836272156493 -37.19204536253663 7.015100527522287 other other other other text/xml other other geonode:2d_seismic_colombia The 2D seismic layer provides polyline traces of seismic acquisition traverses compiled from acquisition report annex maps; the 3D seismic layer provides polygon footprints of survey extents. Both are published via the Colombian Geological Service (SGC) open data portal and are meant for basin-scale exploration context; full technical data are managed through the national petroleum information system.   Source: https://datos.sgc.gov.co/search?tags=Hidrocarburos features 2d_seismic_colombia EPSG:4326 CRS:84 -84.64859952500001 -68.00371163800007 -4.235687628999978 16.211627082999975 other other other other text/xml other other geonode:3d_seismic_brazil ANP’s GeoMapsANP viewer exposes nationwide 2D and 3D seismic information (pre-stack and post-stack) for Brazil’s sedimentary basins. Interactive map access is public, downloading raw technical datasets typically occurs via ANP’ “Acesso aos dados técnicos” workflows.   Source:https://geomaps.anp.gov.br/geoanp features 3d_seismic_brazil EPSG:4674 CRS:84 -65.6415304357547 -34.0952694444444 -27.56843057785433 5.787414775529889 other other other other text/xml other other geonode:3d_seismic_colombia The 2D seismic layer provides polyline traces of seismic acquisition traverses compiled from acquisition report annex maps; the 3D seismic layer provides polygon footprints of survey extents. Both are published via the Colombian Geological Service (SGC) open data portal and are meant for basin-scale exploration context; full technical data are managed through the national petroleum information system.   Source: https://datos.sgc.gov.co/search?tags=Hidrocarburos features 3d_seismic_colombia EPSG:4326 CRS:84 -78.143850913 -70.51040197600004 0.252969828999987 13.75584072300001 other other other other text/xml other other geonode:a00000009__wdpa_poly_sep2023 features a00000009__wdpa_poly_sep2023 EPSG:4326 CRS:84 -42.000999999999976 57.817282928000054 -37.75607577999995 53.12582317400006 other other other other text/xml other other geonode:africa_land features africa_land EPSG:4326 CRS:84 -25.36042232999995 51.41703781100006 -46.96575286299992 37.34520091400009 other other other other text/xml other other geonode:ag_total features ag_total EPSG:4326 CRS:84 2.277229245242992 45.38737973013884 -26.127500038616276 32.801982599624324 other other other other other text/xml other geonode:amazon_basin_shapefile features amazon_basin_shapefile EPSG:4326 CRS:84 -79.61249999999997 -45.82499999999998 -20.479166666666636 5.283333333333359 other other other other text/xml other other geonode:amazonia_28cc60792706128f6cda89ab52703c0f features amazonia_28cc60792706128f6cda89ab52703c0f EPSG:4326 CRS:84 -79.43629454418107 -44.49108551883751 -18.00816774555682 8.663468955080305 other other other other text/xml other other geonode:aquifers_6b38f322917f0582f9dd4dc45f0cca46 The IGRAC GGIS “Transboundary Aquifers” map provides global delineations and reference information on aquifers shared across international borders, with additional map layers, documents, and links to well/monitoring datasets.   Source: https://ggis.un-igrac.org/view/tba features aquifers_6b38f322917f0582f9dd4dc45f0cca46 EPSG:4326 CRS:84 -122.5786003121698 144.27249100034268 -53.03304779546542 62.26937642354519 other other other other text/xml other other geonode:blocks Fossil fuel blocks features EPSG:4326 CRS:84 -166.0397359994888 178.50000247091802 -54.28700999973373 79.88428500000805 other other other other text/xml other other geonode:blocks2_okavango_2605e06b22d79dac59472d49a2f2f7a9 features blocks2_okavango_2605e06b22d79dac59472d49a2f2f7a9 EPSG:4326 CRS:84 18.99999800024976 22.166682000202652 -19.200001999650134 -17.80599040073982 other other other other text/xml other other geonode:blocks_total features blocks_total EPSG:4326 CRS:84 -19.66449866387368 45.49344516569023 -37.75688399572633 33.920122 other other other other other text/xml other geonode:bonefishes_tarpons_ladyfishes features ecological bonefishes_tarpons_ladyfishes EPSG:4326 CRS:84 -179.999 179.99900000000002 -37.259715738999944 45.52561764200004 other other other other text/xml other other geonode:botswanadykedata features botswanadykedata EPSG:7086 CRS:84 21.0 24.64118576049816 -21.01189422607422 -18.316341400146484 other other other other text/xml other other geonode:c_america_slicks features c_america_slicks EPSG:4326 CRS:84 -118.00955 -69.45196 10.00832 27.72342 other other other other text/xml other other geonode:ch4_sources_2024_12_21t00_07_10_104z Data downloaded from Carbon Mapper (https://carbonmapper.org/) and includes data on plumes from 17,086 sources. This dataset has been superseded, link to newer one - Carbon and Methane Emission Plumes (CM) - www.fossilfuelatlasportal.org "Our data  portal includes observations of methane and CO2 super-emitters across the globe. We detect, pinpoint and quantify emissions at a facility-scale and make this data available to the public, providing accessibility and transparency to maximize impact.We use precision visible-infrared imaging spectrometers on satellites and aircraft to locate, quantify and track methane and CO₂ point-source emissions." features Fossil fuel ch4_sources_2024_12_21t00_07_10_104z EPSG:4326 CRS:84 -123.3831336548619 151.5698602034713 -52.859280301751326 61.539764119894244 text/xml other other other other other other geonode:clupeiformes features ecological clupeiformes EPSG:4326 CRS:84 -179.99899999999997 179.99900000000002 -56.94936848799995 81.26729293700004 other other text/xml other other other other geonode:co2_sources_2024_12_20t23_46_47_471z Data downloaded from Carbon Mapper (https://carbonmapper.org/) and includes data on plumes from 1789 carbon dioxide sources. "Our data  portal includes observations of methane and CO2 super-emitters across the globe. We detect, pinpoint and quantify emissions at a facility-scale and make this data available to the public, providing accessibility and transparency to maximize impact.We use precision visible-infrared imaging spectrometers on satellites and aircraft to locate, quantify and track methane and CO₂ point-source emissions." co2_sources_2024_12_20t23_46_47_471z Fossil fuel features EPSG:4326 CRS:84 -122.40026159314512 140.2060700836777 -37.03949653858501 51.19170107965094 other other other other text/xml other other geonode:coal Scarpelli, Tia R.; Jacob, Daniel J., 2019, "Global Fuel Exploitation Inventory, Harvard Dataverse, V3 (GFEI)", Harvard Dataverse, V3 All coal related methane emittance according to GFEI 0.1 x 0.1 degree grid. https://doi.org/10.7910/DVN/HH4EUM,  WCS Fossil fuel coal GeoTIFF fossil fuels EPSG:4326 CRS:84 -179.999996947 179.999996947 -89.999996947 89.999996947 other other other other text/xml other other geonode:coal_deposits A global overview of coal deposits, collected by the Leave It in the Ground's Protected Carbon project. coal coal_deposits Fossil fuel features EPSG:3857 CRS:84 -179.99998854118687 179.99998854118687 -87.33343886674929 82.35585975594046 other other other other text/xml other other geonode:coal_mines_in_pas_2023 features coal_mines_in_pas_2023 Fossil fuel EPSG:4326 CRS:84 -149.25999999999996 171.9572710000001 -53.00069529999996 63.92000000000007 other other other other text/xml other other geonode:coal_mines_table_1 Coal mines as available at Global Methan Emittance Tracker (GMET) on Global Energy Monitor (GEM) website. This dataset has been superseded, link to newer one - Coal Mine Tracker (GEM) - www.fossilfuelatlasportal.org https://globalenergymonitor.org/projects/global-methane-emitters-tracker/ features coal_mines_table_1 EPSG:4326 CRS:84 -149.26 178.929691 -51.538363 78.1568 other other other other text/xml other other geonode:cold_corals__wcmc001_coldcorals2017_pt_v5_1shp Download Data - UN Environment Programme "This dataset shows of the known global distribution of cold-water corals, with occurrence records for 86 families.The high density of reefs shown in the North Atlantic most probably reflects the intensity of research in this region. Further discoveries are expected worldwide, particularly in the deeper waters of subtropical and tropical regions. Please note that taxonomic classifications change frequently." Revised March 2023 cold_corals__wcmc001_coldcorals2017_pt_v5_1shp Coral features Marine ecological Ocean Habitat Environmental EPSG:4326 CRS:84 -179.99999999990004 180.00000000010004 -78.91666700018186 81.45000000009998 other other other other text/xml other other geonode:countrystatsv9 countrystatsv9 features Fossil fuel EPSG:4326 CRS:84 -179.99999999990004 180.00000000010004 -89.99999999990001 86.99400535016684 other other other other text/xml other other geonode:current_speed_cog This raster layer represents the magnitude of the ocean surface current speed, providing a measure of how fast the water is moving at any given point. The data is derived from an ocean model or satellite observation product and is structured as a cloud optimized GeoTIFF (COG). Source and Dataset Origin The current speed data is sourced from  Copernicus Marine Environment Monitoring Service (CMEMS). Data Viewer Copernicus (cmems_mod_glo_phy-cur_anfc_0.083deg_P1M-m_20240 Units and Data Interpretation Variable: Current Speed Magnitude Units: Meters per second (m/s) Data Range: The minimum observed value is near 0.0 m/s (calm or static water) and the maximum observed speed in this dataset is 3.22 m/s (representing the fastest jet in the modeled area).   Visualization and Color Ramp The data is visualized using a sequential, perceptually uniform color ramp that highlights the intensity of the current: Low Speed (Slow): Displayed in dark blue and cyan colors, visually blending with the natural ocean background. High Speed (Fast): Progresses through green and yellow to orange and red, which indicate the core, fast-moving jets of major currents (e.g., the Gulf Stream or Kuroshio). No Data/Land: Areas without current speed information (such as land) are set to be fully transparent (NoData value: 3.40e+38). current_speed_cog WCS GeoTIFF ecological EPSG:3857 CRS:84 -0.0017166137695312502 0.0017166137695312502 -8.583068847324188E-4 8.583068847324188E-4 other other other other text/xml other other geonode:data_0_217644938665850b19065be227b7d36e Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the humpback whale (Megaptera novaeangliae), which is classified as Least Concern (LC). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2018 data_0_217644938665850b19065be227b7d36e features Marine whale ecological Ocean Habitat Environmental EPSG:4326 CRS:84 -179.99899999999997 179.99899999999997 -77.14937663099992 80.44189254899923 other other other other text/xml other other geonode:data_0_32c34b3e072865e56cca3e28d7d97b72 Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the longhead dreamer (Chaenophryne longiceps), which is classified as Least Concern (LC). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2014 features Marine ecological data_0_32c34b3e072865e56cca3e28d7d97b72 Fish Ocean Habitat Environmental EPSG:4326 CRS:84 -165.45311836999997 139.60693285900004 -5.895903762999978 65.84309253500004 text/xml other other other other other other geonode:data_0_4d2897c3883c96e7a2b87f225b0dc112 THIS DATASET IS OUTDATED!! Newer version here Whale Shark Range (IUCN) ecological features data_0_4d2897c3883c96e7a2b87f225b0dc112 EPSG:4326 CRS:84 -179.999 179.999 -40.29544781199996 44.46366230400008 other other other other text/xml other other geonode:data_0_5f6393d395b3f5e33519e001d9760150 Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the whale shark (Rhincodon typus), which is classified as Endangered (EN). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2025 data_0_5f6393d395b3f5e33519e001d9760150 features Marine environment whale ecological Ocean Habitat Environmental EPSG:4326 CRS:84 -179.99899999965024 179.99899999985018 -38.77551470244151 45.63700094883478 other other other other text/xml other other geonode:data_0_6ba63814c69c01dfd2cef466c4817211 Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of Rice's whale (Balaenoptera ricei), which is classified as Critically Endangered (CR). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2021 caribbean data_0_6ba63814c69c01dfd2cef466c4817211 features Marine ecological whale latin america Ocean Habitat Environmental EPSG:4326 CRS:84 -88.24258208039868 -84.51466743905104 26.744585875038126 30.147489528219182 text/xml other other other other other other geonode:data_0_7af3454d92c5904c07867bdcab121d63 Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the copper shark (Carcharhinus brachyurus), which is classified as Vulnerable (VU). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2020 features Marine ecological Ocean Shark data_0_7af3454d92c5904c07867bdcab121d63 Habitat Environmental EPSG:4326 CRS:84 -120.64752316637265 178.96780949308652 -52.57831689539688 44.428118313495645 other other text/xml other other other other geonode:data_0_7d788dd4f7b89520baf2154b0f8614fa Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the West Indian manatee (Trichechus manatus), which is classified as Vulnerable (VU). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2008 features Marine ecological data_0_7d788dd4f7b89520baf2154b0f8614fa Ocean Habitat Environmental EPSG:4326 CRS:84 -97.15802220699999 -34.34046197099997 -11.797770259999936 39.57132350100005 other other other other text/xml other other geonode:data_0_81ea8d9e4b159c99ce719f808981da1a Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the bull shark (Carcharhinus leucas), which is classified as Vulnerable (VU). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication year: 2021 features Marine ecological data_0_81ea8d9e4b159c99ce719f808981da1a Shark Ocean Habitat Environmental EPSG:4326 CRS:84 -179.97133536090055 157.15983846564586 -47.688925389234555 42.180352837129135 text/xml other other other other other other geonode:data_0_9b1abc2078b025dc2c12af8d3186269b Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the leatherback turtle (Dermochelys coriacea), which is classified as Vulnerable (VU). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2013 data_0_9b1abc2078b025dc2c12af8d3186269b features Marine ecological Turtle Ocean Habitat Environmental EPSG:4326 CRS:84 -179.999 179.999 -45.68538599899995 60.19810326400005 other other other other text/xml other other geonode:data_table_1 data_table_1 features Fossil fuel EPSG:4326 CRS:84 -152.12903 174.361 -53.97126 114.6430958 other other other other text/xml other other geonode:eez Download Data - ArcGIS Hub The Exclusive Economic Zone (EEZ) is a maritime area defined in the MarineRegions.org geographic dataset, representing zones extending from a coastal country’s baseline outwards (typically up to a maximum of 200 nautical miles). Within this zone, a coastal state has sovereign rights to explore, exploit, manage, and conserve marine natural resources, including living and non-living resources in the water column, seabed, and subsoil; in the dataset attribute table, each EEZ polygon feature includes identifiers and country linkage fields that describe which territory the EEZ belongs to, along with classification types and unique Marine Regions identifiers. Source: Marine Regions eez features Marine social Ocean EPSG:4326 CRS:84 -180.0 180.0 -62.78834217149148 86.99400535016684 other other other other text/xml other other geonode:eez_boundaries_v11 social eez_boundaries_v11 features EPSG:4326 CRS:84 -180.0 180.0 -76.8001174201828 86.99400535037381 other other other other text/xml other other geonode:eez_boundaries_v12 features eez_boundaries_v12 EPSG:4326 CRS:84 -180.0 180.0 -62.78834217149148 86.99400535037381 other other other other text/xml other other geonode:eez_v12 eez_v12 features EPSG:4326 CRS:84 -180.0 180.0 -62.78834217149148 86.99400535016684 other other other other text/xml other other geonode:extractions_total features extractions_total EPSG:4326 CRS:84 2.435208 48.18115 -25.966562 31.3 text/xml other other other other other other geonode:fixed_all_methane_2020 This is a 2020 methane emittance inventory from Scarpelli et. al, including total methane emittance from various factors such as oil and gas production, extraction, pipelines and more. https://acp.copernicus.org/articles/22/3235/2022/ WCS fossil fuels GeoTIFF fixed_all_methane_2020 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 other other other other text/xml other other geonode:fixed_geometries_0bac07c9f2772496f424d3915f2363b0 fixed_geometries_0bac07c9f2772496f424d3915f2363b0 Protection ecological EBSA CBD features EPSG:4326 CRS:84 -180.0 180.0 -57.59999999999979 89.9996792798417 other other other other text/xml other other geonode:gas_processing_flare Scarpelli, Tia R.; Jacob, Daniel J., 2019, "Global Fuel Exploitation Inventory (GFEI)" ,Harvard Dataverse, V4 https://doi.org/10.7910/DVN/HH4EUM,  "This is the Global Fuel Exploitation Inventory (GFEI) which provides a 0.1 x 0.1 degree grid of methane emissions of fugitive emissions related to oil, gas, and coal activities (IPCC Sector 1B1 and 1B2). Subsector emissions are provided from exploration to distribution of the resource. The inventory emissions are based on individual country reports submitted in accordance with the United Nations Framework Convention on Climate Change (UNFCCC). For those countries that do not report we estimate emissions following IPCC methods. Emissions are allocated to infrastructure locations including mines, wells, pipelines, compressor stations, storage facilities, processing plants, and refineries. This version of the inventory (GFEI v3) inventory is for 2020 and presents an update of GFEI v2 and v1 which were for 2019 and 2016, respectively. Emission grids are also available for 2010-2019. (2024-11-21)" the methane emissions (emis_ch4) are expressed in megagrams (metric tons) per year per square kilometer. WCS Fossil fuel gas methane GeoTIFF emissions atmospheric chemistry fossil fuels gas_processing_flare EPSG:4326 CRS:84 -179.999996947 179.999996947 -89.999996947 89.999996947 text/xml other other other other other other geonode:gem___power_plant_tracker___2025_05_30 THIS DATASET IS OUTDATED!! Newer version here: Power Plants (GEM) The Global Integrated Power Tracker (GIPT) is a multi-sector dataset of power stations and facilities worldwide. The tracker provides unit-level information on thermal power (coal, oil, gas, nuclear, geothermal, bioenergy) and renewables (solar, wind, hydro). The tracker includes data on unit capacity, status, ownership, fuel type, start year, retirement date, geolocation, and more. Each power facility is linked to a profile page, hosted on GEM.wiki, that provides further information. Recommended Citation: “Global Energy Monitor, Global Integrated Power Tracker, April 2025 release”.  To download, please refer to original GEM webpage.   https://globalenergymonitor.org/projects/global-integrated-power-tracker/   features gem___power_plant_tracker___2025_05_30 EPSG:4326 CRS:84 -175.3292 179.2125 -53.7021 71.2501 other other other other text/xml other other geonode:gem_active_faults_harmonized features gem_active_faults_harmonized Environmental EPSG:4326 CRS:84 -180.0 179.999999 -66.163 86.805 other other text/xml other other other other geonode:gem_ggit_gas_pipelines_2025_11 Download Data - Global Energy Monitor Global Gas Infrastructure Tracker, Global Energy Monitor, Nov 2025 The Global Gas Infrastructure Tracker (GGIT) is a global dataset developed by Global Energy Monitor that tracks natural gas transmission pipelines across all stages of development, including proposed, construction, operating, shelved, canceled, mothballed, and retired projects. gem_ggit_gas_pipelines_2025_11 features gas Fossil fuel fossil fuels EPSG:4326 CRS:84 -158.0934 177.951811 -54.809613 71.782302 other other other other text/xml other other geonode:gem_goit_oil_ngl_pipelines_2025_03 A newer version of this dataset can be found here: Oil Pipelines (GEM) Global Oil Infrastructure Tracker, Global Energy Monitor, March 2025 release. "The Global Oil Infrastructure Tracker (GOIT) is an information resource on crude oil and natural gas liquids (NGL) transmission pipeline projects and their development" Fossil fuel gem_goit_oil_ngl_pipelines_2025_03 features fossil fuels EPSG:4326 CRS:84 -152.225624 174.402015 -52.215654 73.509934 text/xml other other other other other other geonode:gem_goit_oil_ngl_pipelines_2026_07 Download Data - Global Energy Monitor Global Oil Infrastructure Tracker, Global Energy Monitor, June 2026 release "The Global Oil Infrastructure Tracker (GOIT) is an information resource on crude oil and natural gas liquids (NGL) transmission pipeline projects and their development" features gem_goit_oil_ngl_pipelines_2026_07 Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -152.05157 174.361454 -52.215654 73.509934 other other other other other text/xml other geonode:geoboundariescgaz_adm0 Download Data - geoBoundries Global country boundaries as decided on by the United Nations geoboundariescgaz_adm0 features base social Map EPSG:4326 CRS:84 -180.0 180.0000000000001 -90.0 83.63339233400006 other other other other text/xml other other geonode:geothermal_power_tracker_march_2026_final Download Data - Global Energy Monitor Global Geothermal Power Tracker, Global Energy Monitor, March 2026 release. The Global Geothermal Power Tracker is a global, facility-level dataset developed by Global Energy Monitor that tracks geothermal power plants with capacities of 1 MW and larger across all stages of development, including announced, pre-construction, construction, operating, shelved, canceled, mothballed, and retired facilities. Note: a given facility can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information Renewables features Geothermal Renewable Power Plant geothermal_power_tracker_march_2026_final EPSG:4326 CRS:84 -166.934 176.7278 -38.6672 65.89057 other other other other text/xml other other geonode:gl_goodyear_spawning_atlas features gl_goodyear_spawning_atlas EPSG:4269 CRS:84 -92.00000000039967 -74.63888888961054 41.400000000099965 48.96999999990015 other other other other other text/xml other geonode:global_bioenergy_power_tracker_gbpt_v3 Download Data - Global Energy Monitor Global Bioenergy Power Tracker, Global Energy Monitor, September 2025 release. The Global Bioenergy Power Tracker is a global, facility-level dataset developed by Global Energy Monitor that tracks utility-scale bioenergy power units with capacities of 10 MW and larger across all stages of development, including announced, pre-construction, construction, operating, shelved, canceled, mothballed, and retired facilities. features global_bioenergy_power_tracker_gbpt_v3 Renewable Power Plant Bioenergy EPSG:4326 CRS:84 -158.1053 179.3878475 -46.11998163 66.4945733 other other other other text/xml other other geonode:global_coal_mine_tracker_october_2023 Global Energy Monitor, Global Coal Mine Tracker, October 2023 release. Dataset has been superseded, link to newer one - Global Coal Mine Tracker (GEM) - www.fossilfuelatlasportal.org 1. This database coal terminals with a capacity of over 1 million tonnes or more and smaller terminals included at discretion. 2. For an explanation of the compilation of this data, see "Methodology," at see https://globalenergymonitor.org/projects/global-coal-terminals-tracker/methodology/           3. For background and references, see GEM wiki pages (Column B)           4. The Global Energy Monitor website provides a mapping tool for this data: https://globalenergymonitor.org/projects/global-coal-terminals-tracker/ 5. For summary statistics, see "Summary Statistics," at https://globalenergymonitor.org/projects/global-coal-terminals-tracker/summary-tables/ Fossil fuel global_coal_mine_tracker_october_2023 features coal EPSG:4326 CRS:84 -149.26 178.929691 -53.0006953 78.22558 other other other other text/xml other other geonode:global_coal_plant_tracker_january_2026 Download Data - Global Energy Monitor Global Coal Plant Tracker, Global Energy Monitor, January 2026 release. "The Global Coal Plant Tracker provides information on coal-fired power units from around the world generating 30 megawatts and above. The GCPT catalogues every operating coal-fired generating unit, every new unit proposed since 2010, and every unit retired since 2000." Note: a given coal plant can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information features coal global_coal_plant_tracker_january_2026 Power Plant Fossil fuel fossil fuels EPSG:4326 CRS:84 -158.10805 177.496925 -51.546015 69.704514 other other other other text/xml other other geonode:global_fuel_oil_all Scarpelli, Tia R.; Jacob, Daniel J., 2019, "Global Fuel Exploitation Inventory (GFEI)",Harvard Dataverse, V3 All oil related methane emittance according to GFEI 0.1 x 0.1 degree grid.  https://doi.org/10.7910/DVN/HH4EUM oil WCS Fossil fuel global_fuel_oil_all GeoTIFF fossil fuels EPSG:4326 CRS:84 -179.999996947 179.999996947 -89.999996947 89.999996947 other other other other text/xml other other geonode:global_gas_distribution Download Data - Global Fuel Exploitation Inventory This dataset provides a global, gridded inventory of methane emissions from the exploitation of oil, gas, and coal. The Global Fuel Exploitation Inventory (GFEI) spatially distributes national methane emissions reported to the United Nations Framework Convention on Climate Change across a 0.1° × 0.1° grid and provides emissions by fuel type, sector, and subsector. The data can be used to assess the spatial distribution of methane emissions associated with fossil fuel extraction and exploitation. Publication Date: 2019 methane WCS GeoTIFF gas emissions global_gas_distribution Fossil fuel fossil fuels EPSG:4326 CRS:84 -179.999996947 179.999996947 -89.999996947 89.999996947 other other text/xml other other other other geonode:global_hydropower_tracker_march_2026 Download Data - Global Energy Monitor Global Hydropower Tracker, Global Energy Monitor, March 2026 release The Global Hydropower Tracker is a global, facility-level dataset developed by Global Energy Monitor that tracks large-scale hydroelectric power projects (45 MW and larger), including conventional hydropower, run-of-river, and pumped storage facilities Renewables features Renewable Power Plant Hydropower global_hydropower_tracker_march_2026 EPSG:4326 CRS:84 -152.895 178.1018 -50.2128 70.372 other other other other text/xml other other geonode:global_integrated_power_march_2026_ii Download Data - Global Energy Monitor Global Integrated Power Tracker, Global Energy Monitor, March 2026 release. The Global Integrated Power Tracker (GIPT) is a global, facility-level dataset developed by Global Energy Monitor that tracks power plants across major electricity generation technologies, including coal, oil, gas, nuclear, geothermal, bioenergy, hydropower, solar, and wind. The dataset integrates information from GEM’s eight power sector trackers and includes detailed data on each facility, including location, capacity, technology type, fuel source, ownership, operating status, commissioning dates, and retirement dates. features Power Plant Fossil fuel global_integrated_power_march_2026_ii fossil fuels EPSG:4326 CRS:84 -175.3292 179.3878475 -53.7021 71.5402 other other other other text/xml other other geonode:global_nuclear_power_tracker_september_2025 Download Data - Global Energy Monitor Global Nuclear Power Tracker, Global Energy Monitor, March 2026 release. The Global Nuclear Power Tracker is a global, facility-level dataset developed by Global Energy Monitor that tracks nuclear power plant units of all capacities and across all stages of development, including announced, pre-construction, construction, operating, shelved, canceled, mothballed, and retired facilities. Note: a given plant can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information Renewables global_nuclear_power_tracker_september_2025 features Nuclear Renewable Power Plant EPSG:4326 CRS:84 -147.0616 170.3011 -33.9687 69.9963 other other other other text/xml other other geonode:global_oil_and_gas_extraction_tracker_july_2023 Global Oil and Gas Extraction Tracker - July 2023 Dataset has been superseded, Link to newer one - Global Oil and Gas Extraction Tracker (GEM) - www.fossilfuelatlasportal.org 1. For background, additional infomation, and references, see wiki pages for the individual units 2. For the Methodology, see https://globalenergymonitor.org/projects/global-oil-and-gas-extraction-tracker/methodology/ 3. For jurisdictions that provide comprehensive government data, this data set includes the largest units that account for 95% of total production. For countries that do not provide comprehensive data, only units that have production of 1 million boe/yr or more and/or reserves of 25 million boe or more are included. 4. The Global Energy Monitor website provides a mapping tool for this data: https://globalenergymonitor.org/projects/global-oil-and-gas-extraction-tracker/tracker/ Fossil fuel GEM features global_oil_and_gas_extraction_tracker_july_2023 EPSG:4326 CRS:84 -151.0308545 156.461 -53.97126 72.718933 other other other other text/xml other other geonode:global_oil_and_gas_extraction_tracker_march_2026 Download Data - Global Energy Monitor Global Oil and Gas Extraction Tracker, Global Energy Monitor, March 2026 Release The Global Oil and Gas Extraction Tracker (GOGET) is a global dataset developed by Global Energy Monitor that tracks oil and gas extraction projects across all stages of development, including discovered, proposed, operating, and retired fields. features gas global_oil_and_gas_extraction_tracker_march_2026 Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -152.129 174.361 -53.971 75.3661 other other other other text/xml other other geonode:global_oil_and_gas_plant_tracker_gogpt_january_2026 Download Data - Global Energy Monitor Global Oil and Gas Plant Tracker, Global Energy Monitor, August 2025 release. The Global Oil and Gas Plant Tracker is a worldwide dataset of oil and gas-fired power plants. The Global Oil and Gas Plant Tracker (GOGPT) catalogs every oil and gas power plant of any status, including operating, announced, pre-construction, construction, shelved, canceled, mothballed, or retired. Note: a given plant can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information features global_oil_and_gas_plant_tracker_gogpt_january_2026 Power Plant gas Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -158.128853 175.194783 -51.634092 70.99517 other other other other text/xml other other geonode:global_power_plant_database Global Power Plant Database WRI   Global Renewable Power Plant Database for World Resource Instititute features global_power_plant_database fosi Fossil fuel social EPSG:4326 CRS:84 -179.9777 179.3887 -77.847 71.292 other other other other text/xml other other geonode:global_solar_power_tracker_february_2026_1 Download Data - Global Energy Monitor Global Solar Power Tracker, Global Energy Monitor, February 2026 release The Global Solar Power Tracker is a global, facility-level dataset developed by Global Energy Monitor that tracks utility-scale solar power projects (1 MW and larger) across all stages of development, including announced, pre-construction, construction, operating, shelved, canceled, and retired facilities. Solar Renewables global_solar_power_tracker_february_2026_1 features Renewable Energy Power Plant EPSG:4326 CRS:84 -175.3292 179.2125 -53.1502 68.3784 other other other other text/xml other other geonode:global_wind_power_tracker_february_2026 Download Data - Global Energy Monitor Global Wind Power Tracker, Global Energy Monitor, February 2026 release. The Global Wind Power Tracker is a global, facility-level dataset developed by Global Energy Monitor that tracks utility-scale onshore and offshore wind power projects (10 MW and larger) across all stages of development, including announced, pre-construction, construction, operating, shelved, canceled, mothballed, and retired facilities. Renewables features global_wind_power_tracker_february_2026 Renewable Wind Power Plant EPSG:4326 CRS:84 -170.769 178.1714 -53.7021 71.5402 other other other other text/xml other other geonode:globalcoalterminalstrackerdecember2024 Download Data - Global Energy Monitor Global Coal Terminals Tracker, Global Energy Monitor, Released in December 2024. Note: a given terminal can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information globalcoalterminalstrackerdecember2024 features coal Fossil fuel fossil fuels EPSG:4326 CRS:84 -149.43046 179.3671366 -43.606064 72.84872086 other other other other text/xml other other geonode:gmet_v275_9182024_3 Download Data - Global Energy Monitor Global Energy Monitor, Global Coal Mine Tracker, May 2025 release Note: a given coal mine can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information features coal Fossil fuel gmet_v275_9182024_3 fossil fuels EPSG:4326 CRS:84 -149.26 178.929691 -51.538363 78.1568 other other other other text/xml other other geonode:gmet_v3_12_12_2025_update Download Data - Global Energy Monitor Global Methane Emitters Tracker, Global Energy Monitor, December 2025 release. The Global Methane Emitters Tracker (GMET) is a global, facility-level dataset developed by Global Energy Monitor that estimates methane emissions from fossil fuel infrastructure, including coal mines, oil and gas extraction sites, natural gas pipelines, and LNG terminals methane features gmet_v3_12_12_2025_update Fossil fuel fossil fuels EPSG:4326 CRS:84 -122.412006 151.5699059 -34.82318016 67.52624252 other other other other text/xml other other geonode:gpw_v4_population_density_2020_cog Download Data - U.S. Greenhouse Gas Center This dataset provides global estimates of human population density at approximately 1 km resolution. Population density is provided for the years 2000, 2005, 2010, 2015, and 2020 and is based on national census data and population registers. The dataset can be used to identify populated areas and assess potential human exposure to fossil fuel infrastructure and environmental impacts. Publication Date: 2020 base social Population WCS GeoTIFF gpw_v4_population_density_2020_cog society EPSG:4326 CRS:84 -180.0 179.99999999999983 -90.0 89.99999999999991 other other other other text/xml other other geonode:gradient_vectors Monthly currents data for January 2025. Depth of 0.49 m. This data was generated using E.U. Copernicus Marine Service Information: https://doi.org/10.48670/moi-00016. (See "Data Access" -> Currents, monthy) features gradient_vectors EPSG:4326 CRS:84 -180.02165618070342 179.93830601351019 -77.01186837897207 90.0111065902729 other other other other text/xml other other geonode:gradient_vectors_06b8590b2e5ee4d0ad89559fbee3b63b August 2022 monthly ocean currents from Copernicus Marine Service. Depth of 0.49 m Vector directionality represents strength of the current. https://data.marine.copernicus.eu/product/GLOBAL_ANALYSISFORECAST_PHY_001_024/files?subdataset=cmems_mod_glo_phy-cur_anfc_0.083deg_P1M-m_202406 features gradient_vectors_06b8590b2e5ee4d0ad89559fbee3b63b ecological Environmental EPSG:4326 CRS:84 -180.01999072149567 179.93717888825526 -77.01752500675657 90.01460586974706 text/xml other other other other other other geonode:gradient_vectors_62108f1fd6ce7a861f47a4b45c325d68 Global Ocean Physics Analysis and Forecast. E.U. Copernicus Marine Service Information (CMEMS). Marine Data Store (MDS). https://doi.org/10.48670/moi-00016 "This product includes daily and monthly mean files of temperature, salinity, currents, sea level, mixed layer depth and ice parameters from the top to the bottom over the global ocean. It also includes hourly mean surface fields for sea level height, temperature and currents. The global ocean output files are displayed with a 1/12 degree horizontal resolution with regular longitude/latitude equirectangular projection." Units of measurement include: m/s (meters per second), Meters, degrees of lat/long   Water gradient_vectors_62108f1fd6ce7a861f47a4b45c325d68 Ocean features Energy EPSG:4326 CRS:84 -180.02050380752627 179.93719598814076 -77.01329662513368 90.01432324996199 other other other text/xml other other other geonode:gradient_vectors_c299d3b5bae8ea4f0b99e8771ca2157b Download Data - Copernicus Marine Service The Global Ocean Physics Analysis and Forecast dataset, Jan 2022 Release. The data is displayed with a 1/12° (~8 km) horizontal resolution with regular longitude/latitude equirectangular projection." Source: European Union, Copernicus Marine Service Information or Data 2022, ©Mercator Ocean. features Marine environment ecological Ocean Water Environmental gradient_vectors_c299d3b5bae8ea4f0b99e8771ca2157b EPSG:4326 CRS:84 -180.0113445361106 179.92882778782217 -77.0171230764649 90.0120887633428 other other other other text/xml other other geonode:grid Global results from gridfinder model, produced by ESMAP based on joint work with Facebook and others. Uses night-time lights, road networks and existing grid network data to predict the location of transmission and distribution lines globally. Validated in several countries with ~70% accuracy at 1 km. More information: https://energydata.info/dataset/derived-map-global-electricity-transmission-and-distribution-lines Further explanation: Blog with brief overview:  https://blogs.worldbank.org/en/energy/using-night-lights-map-electrical-grid-infrastructure  Full research paper: https://www.nature.com/articles/s41597-019-0347-4  Visualization: https://gridfinder.org/  The following data are included: grid.gpkg: Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column targets.tif: Binary raster showing locations predicted to be connected to distribution grid. lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell. features grid EPSG:4326 CRS:84 -175.3479180693294 178.41458476057235 -53.29375042632894 71.74375057391805 other other other other other text/xml other geonode:guyana_suriname_2000 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2000 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2001 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2001 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2002 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2002 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2003 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2003 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2004 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2004 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2005 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2005 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2006 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2006 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2007 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2007 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2008 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2008 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2009 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2009 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2010 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2010 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2011 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2011 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2012 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2012 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2013 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2013 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2014 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2014 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2015 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2015 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2016 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2016 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2017 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2017 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2018 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2018 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2019 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2019 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2020 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2020 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other text/xml other other other other other geonode:guyana_suriname_2021 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2021 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2022 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2022 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:guyana_suriname_2023 The Land cover and Land Use of Guyana and Suriname layers were created by spatially clipping the official MapBiomas Amazonia Collection 6 land cover and land use maps to the territories of Guyana and Suriname. This approach was adopted because, at the time of processing, there were no dedicated national MapBiomas initiatives for these two countries. All pixel values, class definitions, and colors strictly follow the MapBiomas Amazonia Collection 6 legend, only the spatial extent was modified.The leyend can be found here:https://amazonia.mapbiomas.org/wp-content/uploads/sites/10/2025/01/Leyenda_Coleccion6.pdf guyana_suriname_2023 WCS GeoTIFF EPSG:4326 CRS:84 -61.38951904380194 -51.6478287766962 1.1857761750377698 8.53516300900481 other other other other text/xml other other geonode:hydrocarbon_blocks_south_america Pre-lease: Includes statuses such as Under study, Not leased, Free area, Reserved area, and Reserved area in favor of YPFB. These represent blocks that are not currently under contract or negotiation and remain institutionally unassigned. Pre-production: Encompasses administrative or early exploratory phases including Exploration, Exploration with ANH, Deposit unification phase, Simplified process, TEA, s.i., SPECIAL CONTRACT FOR CEPI, Application, Semi-explored promotion area, Promotional area, Evaluation area, Technical evaluation, Technical evaluation agreements, Contract, Tendered, Proposal received for negotiation, Extension procedure, On offer, and Area with CSP in negotiation. These statuses reflect varying degrees of legal engagement, promotion, or technical assessment prior to the initiation of physical infrastructure or extraction. Production: Covers blocks in which field operations have been implemented or are ongoing, including Development, Production, Exploitation, Exploitation agreement, and Available area with productive assets. Post-production: Refers to blocks where operations have ceased and site closure processes are underway, including Rehabilitation and In Return features hydrocarbon_blocks_south_america EPSG:4326 CRS:84 -82.23333023504216 -33.75 -54.286545614999966 15.499901738346615 other other other other text/xml other other geonode:hydrocarbon_blocks_south_america1cce047e8445 hydrocarbon_blocks_south_america1cce047e8445 features EPSG:4326 CRS:84 -82.23333023504216 -33.75 -54.286545614999966 15.499901738346615 other other other other text/xml other other geonode:hydrorivers_v10 hydrorivers_v10 Freshwater features EPSG:4326 CRS:84 -179.99791666666667 179.99791666666474 -55.477083333333255 83.55624999999961 other other other other text/xml other other geonode:hydrorivers_v10_af features hydrorivers_v10_af EPSG:4326 CRS:84 -17.99374999999995 54.41666666666555 -34.79374999999997 37.331249999998924 other other other other text/xml other other geonode:indicative_comm_poly_aug2024 https://www.landmarkmap.org/data-methods " Methods for community-level data Community-level data include locally defined boundaries of the lands that are held or used by Indigenous Peoples and local communities. These data were aggregated from numerous sources and data providers around the world and organized into a consistent global typology. Includes the following LandMark data layers: Indigenous Peoples’ Lands and Territories; Local Community Lands; Indicative Areas of Indigenous and Community Land Rights; Indigenous and Community Natural Resource Rights." indicative_comm_poly_aug2024 features social EPSG:3857 CRS:84 -179.99998854084413 179.99998854084413 -54.69565700017522 76.78749800000918 other other other other text/xml other other geonode:indigenous_territories LandMark aggregates global data on Indigenous Peoples’ and local community lands, including mapped territories and indicative areas, with sources and methods documented per country. Downloads require a short access form.   Source: https://www.landmarkmap.org/data-methods/access-data features indigenous_territories EPSG:4326 CRS:84 -179.0925223707963 179.43593696897292 -53.31386930113879 83.62741851791544 other other other other other text/xml other geonode:lakes_south_america HydroLAKES provides shoreline polygons for ~1.4 million lakes/reservoirs ≥10 ha worldwide, with geometric and derived attributes (area, shoreline length, estimated depth, volume, residence time). Lakes are linked to HydroRIVERS/HydroBASINS for network analyses.   Source: www.hydrosheds.org/products/hydrolakes features lakes_south_america EPSG:4326 CRS:84 -91.3949846354125 -34.84168202718135 -55.86513888888899 14.979992187504024 other other other other text/xml other other geonode:land_cover_land_use_argentina_2000 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2000 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2001 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2001 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2003 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2003 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2004 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2004 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2005 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2005 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2006 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2006 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2008 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2008 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2009 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2009 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other other other text/xml geonode:land_cover_land_use_argentina_2010 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2010 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2011 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2011 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2012 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2012 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2013 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2013 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2015 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2015 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_20151c9667f50bc0 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_20151c9667f50bc0 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2016 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2016 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2018 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2018 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2019 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2019 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2020 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2020 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2021 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2021 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2022 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2022 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2023 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2023 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_argentina_2024 The Land cover and Land use of Argentina layers are based on MapBiomas Argentina Collection 2 annual land cover and land use maps. Colors and class IDs follow the official legend. The legend can be found here: https://argentina.mapbiomas.org/wp-content/uploads/sites/12/2025/09/Leyenda_Code.pdf land_cover_land_use_argentina_2024 WCS GeoTIFF EPSG:4326 CRS:84 -73.57444722065594 -53.629422461935434 -55.06852354709491 -21.776240465398146 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2000 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2000 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2001 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2001 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2002 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2002 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2003 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2003 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2004 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2004 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2005 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2005 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2006 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2006 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2007 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2007 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2008 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2008 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2009 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2009 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2010 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2010 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2011 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2011 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2012 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2012 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2013 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2013 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2014 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2014 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2015 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2015 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2016 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2016 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2017 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2017 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2018 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2018 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2019 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2019 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2020 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2020 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2021 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2021 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2022 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf land_cover_land_use_bolivia_2022 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_bolivia_2023 The Land cover and Land use of Bolivia layers are based on MapBiomas Bolivia Collection 3. Colors and classes match the official legend. Legend: https://bolivia.mapbiomas.org/wp-content/uploads/sites/15/2025/07/Legend-Code_col3-v2.pdf   land_cover_land_use_bolivia_2023 WCS GeoTIFF EPSG:4326 CRS:84 -70.37258205346872 -56.265887989297816 -23.515289023925128 -8.701980157265806 other other other other text/xml other other geonode:land_cover_land_use_brazil_2000 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2000 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2001 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2001 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2002 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2002 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2003 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2003 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2004 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2004 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2005 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2005 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other text/xml other other other other other geonode:land_cover_land_use_brazil_2006 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2006 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2007 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2007 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2008 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2008 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2009 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2009 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2010 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2010 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2011 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2011 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2012 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2012 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other other other text/xml geonode:land_cover_land_use_brazil_2013 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2013 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2014 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2014 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2015 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2015 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2016 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2016 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2017 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2017 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2018 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2018 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2019 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2019 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2020 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2020 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2021 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2021 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2022 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2022 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2023 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2023 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_brazil_2024 The Land cover and Land use of Brazil layers are based on MapBiomas Brazil Collection 10 annual land cover and land use maps. Colors and class IDs follow the official legend. Legend: https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2025/08/Legenda-Colecao-10-Legend-Code.pdf land_cover_land_use_brazil_2024 WCS GeoTIFF EPSG:4326 CRS:84 -74.02099974839176 -32.39217116700902 -34.04066954489674 5.435705784207225 other other other other text/xml other other geonode:land_cover_land_use_colombia_2000 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2000 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2001 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2001 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2002 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2002 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2003 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2003 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2004 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2004 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2005 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2005 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2006 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2006 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2007 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2007 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2008 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2008 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2009 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2009 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2010 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2010 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2011 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2011 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2012 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2012 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2013 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2013 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2014 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2014 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2015 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2015 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other other text/xml other geonode:land_cover_land_use_colombia_2016 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2016 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2017 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2017 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2018 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2018 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2019 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2019 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2020 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2020 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2021 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2021 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_colombia_2022 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2022 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 text/xml other other other other other other geonode:land_cover_land_use_colombia_2023 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2023 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 text/xml other other other other other other geonode:land_cover_land_use_colombia_2024 The Land cover and Land use of Colombia layers follow MapBiomas Colombia Collection 3 legend and palette. Legend: https://colombia.mapbiomas.org/wp-content/uploads/sites/3/2025/10/Codigo-de-la-Leyenda-coleccion-3.pdf land_cover_land_use_colombia_2024 WCS GeoTIFF EPSG:4326 CRS:84 -83.943790376776 -66.71688800474435 -4.362308851212806 14.01479641060548 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2000 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2000 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2001 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2001 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2002 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2002 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2003 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2003 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2004 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2004 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2005 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2005 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2006 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2006 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2007 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2007 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2008 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2008 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2009 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2009 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2010 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2010 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2011 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2011 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2012 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2012 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2013 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2013 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2014 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2014 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2015 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2015 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2016 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2016 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2017 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2017 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2018 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2018 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2019 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2019 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2020 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2020 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2021 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2021 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2022 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2022 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2023 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2023 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_ecuador_2024 The Land cover and Land use of Ecuador layers are derived from the official annual land cover and land use maps of MapBiomas Ecuador Collection 3.0. Class IDs and colors strictly follow the MapBiomas Ecuador legend and color palette.Legend: https://ecuador.mapbiomas.org/wp-content/uploads/sites/7/2025/10/Codigos-de-las-clases-de-cobertura-y-uso-del-suelo-y-paleta-de-colores-utilizadas-en-la-coleccion-3.pdf land_cover_land_use_ecuador_2024 WCS GeoTIFF EPSG:4326 CRS:84 -92.09465410723448 -74.84565317921349 -5.252718960832077 1.793216970159389 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2000 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2000 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2001 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2001 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2002 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2002 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2003 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2003 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2004 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2004 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2005 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2005 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2006 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2006 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2007 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2007 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2008 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2008 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2009 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2009 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2010 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2010 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2011 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2011 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2012 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2012 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2013 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2013 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2014 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2014 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2015 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2015 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2016 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2016 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2017 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2017 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2018 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2018 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2019 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2019 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2020 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2020 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2021 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2021 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2022 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2022 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_paraguay_2023 The Land cover and Land use of Paraguay layers are consistent with MapBiomas Paraguay Collection 2 legend codes and color scheme.Legend:drive.google.com/file/d/1VtWlK-cmd47Kyg4jMiKRjWxv5OpPVG1U/view?usp=drive_link land_cover_land_use_paraguay_2023 WCS GeoTIFF EPSG:4326 CRS:84 -63.016188360285554 -53.74314917690497 -27.981892279624212 -18.85491916144146 other other other other text/xml other other geonode:land_cover_land_use_peru_2000 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2000 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2001 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2001 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2002 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2002 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2003 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2003 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2004 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2004 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2005 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2005 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2006 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2006 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2007 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2007 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2008 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2008 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2009 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2009 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2010 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2010 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2011 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2011 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2012 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2012 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2013 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2013 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2014 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2014 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2015 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2015 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2016 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2016 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2017 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2017 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2018 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2018 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2019 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2019 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2020 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2020 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2021 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2021 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2022 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2022 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2023 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2023 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_peru_2024 The Land cover and Land use of Peru layers are based on MapBiomas Peru Collection 3 pixel value codes and colors. Legend: https://peru.mapbiomas.org/wp-content/uploads/sites/14/2025/10/Leyenda_MapBiomasPeru_3-Leyenda-CortaENES.pdf land_cover_land_use_peru_2024 WCS GeoTIFF EPSG:4326 CRS:84 -81.70051744927272 -68.29962970383453 -18.8522242155891 0.7111962104374253 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2000 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2000 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2001 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2001 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2002 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2002 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2003 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2003 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2004 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2004 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2005 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2005 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2006 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2006 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2007 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2007 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2008 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2008 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2009 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2009 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2010 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2010 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2011 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2011 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2012 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2012 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2013 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2013 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2014 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2014 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2015 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2015 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2016 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2016 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2017 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2017 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2018 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2018 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2019 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2019 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2020 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2020 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_uruguay_2021 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2021 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other other text/xml other geonode:land_cover_land_use_uruguay_2022 The Land cover and Land use of Uruguay layers adopt the classes and palette from MapBiomas Uruguay Collection 2, using the corresponding codes and legend descriptions. Legend: https://uruguay.mapbiomas.org/wp-content/uploads/sites/6/2024/12/MB-Uruguay-Col-2-Legend-Code.pdf land_cover_land_use_uruguay_2022 WCS GeoTIFF EPSG:4326 CRS:84 -59.24003023196074 -52.0763251672212 -35.79993019731641 -29.627156722489115 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2000 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2000 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2001 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2001 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2002 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2002 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2003 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2003 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2004 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2004 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2005 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2005 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2006 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2006 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2007 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2007 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2008 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2008 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2009 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2009 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2010 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2010 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2011 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2011 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2012 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2012 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2013 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2013 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2014 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2014 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2015 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2015 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2016 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2016 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2017 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2017 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2018 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2018 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2019 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2019 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2020 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2020 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2021 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2021 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2022 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2022 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:land_cover_land_use_venezuela_2023 The Land cover and Land use of Venezuela layers follow MapBiomas Venezuela Collection 2 legend and palette.Legend: https://venezuela.mapbiomas.org/wp-content/uploads/sites/5/2024/11/MB-Venezuela-Col-2-Legend-Code.pdf land_cover_land_use_venezuela_2023 WCS GeoTIFF EPSG:4326 CRS:84 -74.11505335863907 -57.94241380405009 -0.11588267165141808 15.132929444749049 other other other other text/xml other other geonode:landscan_global_2021_colorized_65562f1f2cb0c3105162f01e540d7aaa Global population density raster data according to: https://landscan.ornl.gov/ social WCS landscan_global_2021_colorized_65562f1f2cb0c3105162f01e540d7aaa GeoTIFF EPSG:4326 CRS:84 -180.0 179.99999999999858 -90.0 89.99999999999929 other other other other text/xml other other geonode:latin_america_coal_mines features latin_america_coal_mines EPSG:4326 CRS:84 -101.639327 -51.532337 -53.0006953 28.498439 other other other other text/xml other other geonode:latin_america_coal_plants features latin_america_coal_plants EPSG:4326 CRS:84 -102.115439 -38.875 -51.5460148 28.4681502 other other other other text/xml other other geonode:latin_america_coal_terminals latin_america_coal_terminals features EPSG:4326 CRS:84 -110.8719135 -38.81253247 -37.03247788 27.92239705 other other other other text/xml other other geonode:latin_america_gas_plants latin_america_gas_plants features EPSG:4326 CRS:84 -117.071885 -34.96743269 -45.9072508 32.632612 other other other other text/xml other other geonode:latin_america_lng_terminals features latin_america_lng_terminals EPSG:4326 CRS:84 -116.846466 -34.959574 -38.785984 31.988557 other other other other text/xml other other geonode:latin_america_oil_gas_extraction features latin_america_oil_gas_extraction EPSG:4326 CRS:84 -99.2714 -36.073 -53.97126 26.5756 other other other other text/xml other other geonode:latin_america_oil_gas_pipelines features latin_america_oil_gas_pipelines EPSG:4326 CRS:84 -116.883352 -34.9346 -54.809613 33.60361 other other other other text/xml other other geonode:line_5_river_intersections features line_5_river_intersections EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 other other other other text/xml other other geonode:lng_terminals Download Data - Global Energy Monitor Global Gas Infrastructure Tracker, Global Energy Monitor, September 2025. The Global Gas Infrastructure Tracker (GGIT) is a resource on natural gas transmission pipeline projects and liquefied natural gas import and export terminals.  Note: a given terminal can be in multiple stages simultaneously (operating & in construction). See the GEM tracker map for more information features lng_terminals gas Fossil fuel fossil fuels EPSG:4326 CRS:84 -151.38834 154.6902964 -41.11535 73.153613 other other other other text/xml other other geonode:lobsta Download Data - IUCN Developed by the International Union for Conservation of Nature, this Red List dataset provides the geographic range and habitat of the Caribbean lobster (Metanephrops binghami), which is classified as Least Concern (LC). The assessments are developed by species experts using standardized IUCN Red List criteria to support biodiversity conservation and environmental planning. Publication Date: 2009 features lobsta Marine Lobster ecological Ocean Habitat Environmental EPSG:4326 CRS:84 -88.43212902799996 -50.727070638999976 5.314997402000074 29.671397160000026 other other other other text/xml other other geonode:major_cities_44dc2a39d9cf88800add4edafc382b6b features major_cities_44dc2a39d9cf88800add4edafc382b6b EPSG:4326 CRS:84 -158.176463655262 -68.7830090720075 19.7024816380696 64.8483001941594 other other other other text/xml other other geonode:major_cities_8c09c9824a8bcf82ec23b3b313bbb5e6 features major_cities_8c09c9824a8bcf82ec23b3b313bbb5e6 EPSG:4326 CRS:84 -158.176463655262 -68.7830090720075 19.7024816380696 64.8483001941594 other other other other text/xml other other geonode:methane_metadata Methane emittance metadata from NASA EMIT. To be combined with NASA EMIT tiff as additional context. fossil fuels features methane_metadata Fossil fuel EPSG:4326 CRS:84 -121.1914134 151.0911889 -46.6756991 50.3725351 text/xml other other other other other other geonode:mpa_latinamerica features mpa_latinamerica EPSG:4326 CRS:84 -177.65055619599997 170.18197112200005 -56.18335528499995 32.718653611000036 other other other other text/xml other other geonode:mussel_streams features mussel_streams EPSG:26917 CRS:84 -82.70289406725058 -77.66534025294179 37.16465218038829 40.6432320555655 other other other other text/xml other other geonode:namdykesdrawn features namdykesdrawn EPSG:4326 CRS:84 19.804228316804323 21.00004043313235 -19.379531820429108 -18.068285731183934 other other other other text/xml other other geonode:natural_resources_south_america The World Database on Protected Areas (WDPA) is the authoritative global database of terrestrial and marine protected areas, maintained by UNEP-WCMC and IUCN, updated monthly and downloadable via Protected Planet. For the workflow Sout America dataset was clipped.   Source: https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA features natural_resources_south_america EPSG:4326 CRS:84 -118.63437619599995 3.777881700000023 -59.85538240699998 32.718653611000036 text/xml other other other other other other geonode:ne_10m_admin_0_countries_lakes Global base map. Large scale data (1:10m). Source: Natural Earth  filename: "ne_10m_admin_0_countries_lakes" features ne_10m_admin_0_countries_lakes EPSG:4326 CRS:84 -179.99999999999991 180.0 -89.99999999999994 83.63410065300008 other other other other text/xml other other geonode:ne_10m_admin_1_states_provinces_lakes Global country and states/provinces base map. Large scale data (1:10m). Source: Natural Earth  filename: "ne_10m_admin_1_states_provinces_lakes" features ne_10m_admin_1_states_provinces_lakes EPSG:4326 CRS:84 -179.99999999999991 180.0 -89.99999999999994 83.63410065300008 other other other other text/xml other other geonode:ne_10m_lakes ne_10m_lakes ecological features Freshwater EPSG:4326 CRS:84 -165.96558168829336 177.1543791606897 -50.66966651748362 81.95520786930868 other other other other text/xml other other geonode:ne_10m_lakes_27f35f52b665585281fac25d930dafa5 Global lakes base map. Large scale data (1:10m). Source: Natural Earth  filename: "ne_10m_lakes" features base Lakes ne_10m_lakes_27f35f52b665585281fac25d930dafa5 EPSG:4326 CRS:84 -165.96558168829336 177.1543791606897 -50.66966651748362 81.95520786930868 other other other other text/xml other other geonode:ne_10m_ocean Global ocean base map. Large scale data (1:10m). Source: Natural Earth  filename: "ne_10m_ocean" features base Ocean ne_10m_ocean EPSG:4326 CRS:84 -179.99999999999991 180.0 -85.22193775799991 90.00000000000006 other other other other text/xml other other geonode:niger features niger EPSG:4326 CRS:84 5.310617313626967 7.17786023019728 4.270302872048773 5.581542571388889 other other other other text/xml other other geonode:northward_seaward_velocity_june24 Northward seaward velocity, a common proxy for currents, from Copernicus (CMEMS). June 2024. vsi = "northward sea water velocity at surface" Positive values → flow toward the north Negative values → flow toward the south Units: meters per second (m/s) https://tinyurl.com/cmems-vsi-202406 ecological northward_seaward_velocity_june24 GeoTIFF WCS EPSG:4326 CRS:84 -180.0 179.958353681 -80.041666667 90.041666667 other other other other other text/xml other geonode:oil_and_gas_reserves_table_1 THIS DATASET IS OUTDATED!! Newer version here: Oil and Gas Reserves (GEM) Oil and Gas Reserves with methane emittance according to https://globalenergymonitor.org/projects/global-methane-emitters-tracker/ Fossil fuel fossil fuels features oil_and_gas_reserves_table_1 EPSG:4326 CRS:84 -151.568 174.306 -53.9713 71.235 other other other other text/xml other other geonode:oil_ngl_pipelines_goit_jun22 features oil_ngl_pipelines_goit_jun22 EPSG:4326 CRS:84 -151.724491 151.2002284 -39.039097 72.439398 other other other other text/xml other other geonode:oil_pipelines_test Dataset has been superseded, link to newer one - Gas Pipelines (GGIT) - www.fossilfuelatlasportal.org Fossil fuel oil oil_pipelines_test GEM features EPSG:4326 CRS:84 -151.724491 174.762421 -39.194359 72.439398 other other other other text/xml other other geonode:oil_refining_gfei Scarpelli, Tia R.; Jacob, Daniel J., 2019, "Global Fuel Exploitation Inventory (GFEI)", Harvard Dataverse, V4 "This is the Global Fuel Exploitation Inventory (GFEI) which provides a 0.1 x 0.1 degree grid of methane emissions of fugitive emissions related to oil, gas, and coal activities (IPCC Sector 1B1 and 1B2). Subsector emissions are provided from exploration to distribution of the resource. The inventory emissions are based on individual country reports submitted in accordance with the United Nations Framework Convention on Climate Change (UNFCCC). For those countries that do not report we estimate emissions following IPCC methods. Emissions are allocated to infrastructure locations including mines, wells, pipelines, compressor stations, storage facilities, processing plants, and refineries. This version of the inventory (GFEI v3) inventory is for 2020 and presents an update of GFEI v2 and v1 which were for 2019 and 2016, respectively. Emission grids are also available for 2010-2019. (2024-11-21)" each grid cell records methane emissions in metric tons per year per square kilometer( Mg a⁻¹ km⁻²) https://doi.org/10.7910/DVN/HH4EUM   oil WCS gas coal oil_refining_gfei GeoTIFF methane emissions atmospheric chemistry EPSG:4326 CRS:84 -179.999996947 179.999996947 -89.999996947 89.999996947 other other other other text/xml other other geonode:oilgas_assets_2023_public oilgas_assets_2023_public features Fossil fuel EPSG:4326 CRS:84 -151.73100280803314 172.49099731397496 -53.97037124603611 74.3795013432125 other other other other text/xml other other geonode:okavangograben features okavangograben EPSG:4326 CRS:84 20.63742248888864 24.8933348653592 -20.7614645908494 -17.706920873202364 other other other other text/xml other other geonode:output_for_geonode COG GeoTiff encapsulating all of the available EMIT Methane Plumes from NASA from 2022 onwards.   https://earth.jpl.nasa.gov/emit/data/data-portal/Greenhouse-Gases/ WCS Fossil fuel GeoTIFF fossil fuels output_for_geonode EPSG:4326 CRS:84 -121.90661810411778 151.4637026107714 -46.67515686526553 51.82354936938456 text/xml other other other other other other geonode:pipelines_test pipelines_test Fossil fuel gas GEM features EPSG:4326 CRS:84 -158.0934 175.3009655 -54.809613 71.6045 other other other other text/xml other other geonode:pipelines_total features pipelines_total EPSG:4326 CRS:84 6.270947 40.9625244 -5.420662 32.7873 other other other other other text/xml other geonode:plumes_20240101_20240701 Carbon Mapper, Methane and CO₂ plume data, Retrieved August 18, 2025. Carbon Mapper - Data carbon Fossil fuel methane features fossil fuels plumes_20240101_20240701 EPSG:4326 CRS:84 -122.77355613130406 151.46077176840458 -38.19446580899126 51.86915479934322 other other other other text/xml other other geonode:plumes_table_1 THIS DATASET IS OUTDATED!! Newer version here: Methane Plumes (GEM) Methane Plumes according to GEM (Global Energy Monitor https://globalenergymonitor.org/projects/global-methane-emitters-tracker/ plumes_table_1 fossil Fossil fuel features fossil fuels EPSG:4326 CRS:84 -122.412006 151.07604 -34.82318016 53.312792 other other other other text/xml other other geonode:polygons Download Data - World Database on Protected Areas Developed by the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) and the International Union for Conservation of Nature, this dataset provides the geographic boundaries and information of terrestrial and marine protected areas in North America. The World Database on Protected Areas (WDPA) is the most comprehensive global database of protected areas and is updated monthly to support biodiversity conservation, environmental planning, and policy development. features ecological social polygons Protected Areas EPSG:4326 CRS:84 -177.65055619599997 170.18197112200005 -59.85538240699998 32.718653611000036 other text/xml other other other other other geonode:population_total features population_total EPSG:4326 CRS:84 -17.532336374512077 48.360595650232554 -26.140921392147128 32.80490645632128 other other other other text/xml other other geonode:processingplants processingplants features Fossil fuel EPSG:3857 CRS:84 -123.116235100145 150.0303372783484 -53.363291600166924 64.27098899945881 other other other other text/xml other other geonode:pvout Download Data - Global Solar Atlas This dataset provides global estimates of photovoltaic (PV) power potential and solar resource availability. Developed by Solargis for the World Bank's Energy Sector Management Assistance Program (ESMAP), the study provides spatially explicit data on solar resource and PV power potential, supporting the assessment of areas suitable for utility-scale solar development and comparison of PV potential across countries and regions. Publication Date: 2020 Solar Renewables pvout Renewable WCS GeoTIFF Power Plant EPSG:4326 CRS:84 -180.0 180.0 -60.0 65.0 other other other other text/xml other other geonode:ramsar_total ecological features wetland Ramsar ramsar_total EPSG:4326 CRS:84 -171.833888889 179.03935870320836 -54.74794794304153 81.15207746149088 other other other other text/xml other other geonode:ramsar_total_798097ee7bb0c7214d522e093b11b72b features ramsar_total_798097ee7bb0c7214d522e093b11b72b EPSG:4326 CRS:84 -17.069885567817177 40.2833333333 -5.0 14.507371580078093 other other other other text/xml other other geonode:ramsar_total_cfd25c7fd3171b8f99d6b6ced9955e68 features ramsar_total_cfd25c7fd3171b8f99d6b6ced9955e68 EPSG:4326 CRS:84 -17.069885567817177 40.2833333333 -5.0 14.507371580078093 other other other other text/xml other other geonode:refactored Download Data - Zenodo This dataset provides geographic boundaries for major oil and gas basins across the United States. The basin boundaries provide spatial context for oil and gas production, infrastructure, and associated environmental impacts. Publication Date: 2024 features refactored gas Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -121.38893101499997 -73.60353697999994 27.489075 48.99999999900007 other other other other text/xml other other geonode:refactored_04b2607e0502fbff7caf519fe60b6727 Download Data - Earth System Science Data This dataset provides a high-resolution, spatially explicit inventory of methane emissions from oil and gas operations across the United States for 2021. Developed using measurement-based facility-level data, the inventory estimates methane emissions at a 0.1° × 0.1° (~10 km × 10 km) grid resolution, supporting the assessment, mapping, and mitigation of methane emissions. Publication Date: 2021 methane features refactored_04b2607e0502fbff7caf519fe60b6727 Fossil fuel fossil fuels EPSG:4326 CRS:84 -158.11655513200108 -67.41655513200624 21.294444976000023 71.32548209200077 text/xml other other other other other other geonode:refactored_layer THIS DATASET IS OUTDATED!! Newer version here: Download Data - Global Energy Monitor Global Gas Infrastructure Tracker, Global Energy Monitor, December 2024 For Pipelines.  The Global Gas Infrastructure Tracker (GGIT) is an information resource on natural gas transmission pipeline projects and liquefied natural gas (LNG) import and export terminals. Fossil fuel refactored_layer features fossil fuels EPSG:4326 CRS:84 -152.225624 174.402015 -52.215654 73.509934 other other other other other other text/xml geonode:refineries Download Data - Energy Data eXchange This dataset provides a global inventory of oil and natural gas infrastructure, containing approximately 4.8 million records compiled from more than 700 authoritative, open-access data sources. The database includes infrastructure across all 193 United Nations Member States and their exclusive economic zones, as well as Antarctica. It provides a comprehensive spatial inventory of oil and gas infrastructure that can be used to analyze the global footprint of the fossil fuel industry and assess potential environmental and methane emissions impacts. Publication Date: 2023 features refineries Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -158.11092700017826 174.49395999939173 -53.134531541804364 70.32483200024966 other other other other text/xml other other geonode:reserves_gis_safe_1 Download Data - Global Energy Monitor Global Methane Emitters Tracker, Global Energy Monitor, December 2025 release. The Global Methane Emitters Tracker – Oil and Gas Reserves is a global, asset-level dataset developed by Global Energy Monitor that estimates the methane emissions potential associated with proven and probable oil and gas reserves. The dataset includes detailed information on each oil and gas field, including its location, reserve volumes, resource type, ownership, operators, and estimated methane emissions potential over the lifetime of the reserves. features reserves_gis_safe_1 gas Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -151.5676667 174.306 -53.97126 71.235 other other other other text/xml other other geonode:rivers HydroRIVERS is a global vector river network (≥10 km² catchment or ≥0.1 m³/s flow) derived from HydroSHEDS at 15-arc-second resolution. Attributes include reach length, Strahler order, distances, and long-term discharge; reaches are cross-referenced to HydroBASINS IDs.   Source: https://www.hydrosheds.org/products/hydrorivers rivers features EPSG:4326 CRS:84 -91.65625 -34.793750000000955 -55.877083333333225 14.877083333332173 other other other other text/xml other other geonode:rivers_downstream features rivers_downstream EPSG:4326 CRS:84 -17.06458333333336 45.47083333333228 -18.154166666666946 33.12291666666568 other other other other text/xml other other geonode:s_america_slicks features s_america_slicks EPSG:4326 CRS:84 -81.11293 -33.90086 -34.88495 21.60414 other other other other text/xml other other geonode:seismic_lines_okavango No abstract provided features seismic_lines_okavango EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 other other other other text/xml other other geonode:select_global_slicks_2020_2024 features select_global_slicks_2020_2024 EPSG:4326 CRS:84 -171.3355 176.40467 -34.88495 74.76299 other other other other text/xml other other geonode:senegal___sangomar_fields_focused senegal___sangomar_fields_focused WCS GeoTIFF EPSG:4326 CRS:84 -18.098343545585415 -16.077719892917486 13.078580336615168 14.507304131430875 other other other other text/xml other other geonode:sharks_rays_chimaeras sharks_rays_chimaeras features ecological EPSG:4326 CRS:84 -179.99899999999997 179.99900000000002 -78.63931108499997 86.37155097900006 other text/xml other other other other other geonode:single_parts Download Data - LandMark This dataset provides georeferenced information on lands held or used by Indigenous Peoples and Local Communities worldwide. Community-level data include locally defined boundaries of Indigenous Peoples’ lands, Local Community Lands, and indicative areas where Indigenous or community lands are known to exist but precise boundaries are unavailable. The data are aggregated from numerous local, national, and regional sources and standardized into a consistent global typology. The dataset can be used to identify Indigenous and community lands that may overlap with or be affected by fossil fuel infrastructure and other development activities. Publication Date: 2024 single_parts features social EPSG:4326 CRS:84 -179.0925223707963 179.43593696897292 -53.31386930113879 83.62741851791543 other other text/xml other other other other geonode:single_parts_48fc067bf897c685c4b7dc6148f9e124 Download Data - HDX This dataset provides high-resolution H3 Tesselation estimates of population distribution across the globe. The data represents the number of people living within approximately 3km hexagonal cells and was developed by Kontur using multiple sources, including satellite-derived settlement data, population datasets, and OpenStreetMap data. It can be used to identify populated areas and assess potential human exposure to environmental and infrastructure impacts. Publication Date: 2023 Population social features single_parts_48fc067bf897c685c4b7dc6148f9e124 EPSG:3857 CRS:84 -180.00000000000003 180.00000000000003 -83.69343417153175 82.53199278539945 other other other other text/xml other other geonode:single_parts_76642595a36d3db50eedc645761dfeb0 Download Data - World Database on Protected Areas Developed by the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) and the International Union for Conservation of Nature, this dataset provides the geographic boundaries and information of terrestrial and marine protected areas in Africa. The World Database on Protected Areas (WDPA) is the most comprehensive global database of protected areas and is updated monthly to support biodiversity conservation, environmental planning, and policy development. features ecological social single_parts_76642595a36d3db50eedc645761dfeb0 Protected Areas EPSG:4326 CRS:84 -17.475396818999968 57.80171948800006 -34.53180433899996 37.204086045000054 other other other other text/xml other other geonode:site_view_regions_totals ecological site_view_regions_totals features EPSG:3857 CRS:84 -92.217757701873 -74.36137255424232 41.34963774419215 49.006987682974795 other other other other text/xml other other geonode:sources_2026_08_10t00_38_15_091z Download Data - Carbon Mapper Developed by Carbon Mapper, this dataset provides the locations of high-emitting methane (shown in red) and carbon dioxide (shown in green). These sources were detected using satellites and airborne remote sensing. The data identifies point-source emissions from sectors including oil and gas, coal, waste, and agriculture, supporting the monitoring and mitigation of greenhouse gas emissions. August 2026 Release methane features sources_2026_08_10t00_38_15_091z carbon emissions Fossil fuel fossil fuels EPSG:4326 CRS:84 -149.6086291489539 176.77864739619295 -52.859280301751326 71.56913494298124 other other other other text/xml other other geonode:spawning_sites_gsa_ah_2011 features spawning_sites_gsa_ah_2011 EPSG:4269 CRS:84 -92.16666666703304 -74.63333333306684 41.38333333316683 49.43333333326677 other other other other text/xml other other geonode:temp features temp EPSG:4326 CRS:84 -92.594875372 -75.607282303 41.4688910840001 49.2072382760001 other other other other text/xml other other geonode:temperature_2020s Download Data - Climate Impact Lab Global Climate Risk from Climate Impact Lab by country. This represents the 2020 annual temperature estimates for SSP-2-4.5 level emissions at the 50th percentile. 5th percentile and 95th percentile estimations are also present. Published 2023 features Climate Change Global Warming social temperature_2020s EPSG:4326 CRS:84 -180.0 180.00000000000006 -55.61183 83.64513000000001 other other other other text/xml other other geonode:turtle_sightings_mar15_20230 turtle_sightings_mar15_20230 features ecological EPSG:4326 CRS:84 -180.0 180.0 -63.0 65.0 other other other other text/xml other other geonode:undegroundstorage Underground Oil & Gas Storage according to Global Oil and Gas Infrastructure   https://edxspatial.arcgis.netl.doe.gov/maps/edxspatial-gogi-index.html undegroundstorage Fossil fuel features EPSG:4326 CRS:84 -152.90555090867414 151.91512000034268 -54.93303104141265 70.95465499945247 other other other other text/xml other other geonode:unep_methanedata_detected_plumes77bb0509ae3a Detected methane plumes from United Nations Environmental Protection - International Methane Emissions Observatory (UNEP-IMEO) https://methanedata.unep.org/map?mars=&company=&country=&cc=&sat=&limit=1000&pub=#mcoord=1.46/0/0 fossil Fossil fuel unep_methanedata_detected_plumes77bb0509ae3a features fossil fuels EPSG:4326 CRS:84 -121.983786 151.59196 -50.748629 54.876613 other other other other other text/xml other geonode:us_stateboundaries Download Data - ArcGIS Hub This data is intended for geographic display and analysis at the national level and for large regional areas. This map layer portrays the State boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. features base us_stateboundaries social Map EPSG:4326 CRS:84 -179.147354136858 179.778427126769 17.6743983654311 71.3892132770786 other other other other text/xml other other geonode:wcmc013_014_seagrasses_py_v7_1 Download Data - UNEP This dataset provides the global distribution of seagrasses and is composed of point and polygon occurrence data. The data were compiled by UNEP World Conservation Monitoring Centre in collaboration with researchers, organizations, and projects from around the world. It can be used to identify seagrass habitats that may be affected by fossil fuel infrastructure and other human activities. Publication Date: 2020 wcmc013_014_seagrasses_py_v7_1 features Marine ecological Ocean Habitat Environmental EPSG:4326 CRS:84 -175.42787941499563 178.61684839541783 -43.55093395640967 70.49427922932506 other other other other text/xml other other geonode:wcmc027_saltmarshes_py_v6_1 Download Data - UNEP This dataset provides a global map of the known distribution of saltmarshes, based on surveyed and remotely sensed occurrence data. Saltmarshes are intertidal ecosystems found along sheltered marine and estuarine coastlines and provide important habitat for birds, fish, molluscs, and other species. The dataset can be used to identify saltmarsh ecosystems that may be affected by fossil fuel infrastructure and other human activities. Publication Date: 2021 features Marine ecological wcmc027_saltmarshes_py_v6_1 Habitat Environmental EPSG:4326 CRS:84 -170.715042931586 178.97622822515254 -46.898880875252125 73.30303661504782 other other other other text/xml other other geonode:wcmc_013_014_seagrassespt_v7_1 Download Data - UNEP This dataset provides the global distribution of seagrasses and is composed of point and polygon occurrence data. The data were compiled by UNEP World Conservation Monitoring Centre in collaboration with researchers, organizations, and projects from around the world. It can be used to identify seagrass habitats that may be affected by fossil fuel infrastructure and other human activities. Publication Date: 2020 features Marine wcmc_013_014_seagrassespt_v7_1 ecological Ocean Habitat Environmental EPSG:4326 CRS:84 -176.6402644353554 178.53334634565738 -46.91668262510302 69.99998357618114 other other other other text/xml other other geonode:wdpa_10m_fixed Download Data - World Database on Protected Areas Developed by the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) and the International Union for Conservation of Nature, this dataset provides the global geographic boundaries and information of terrestrial and marine protected areas. The World Database on Protected Areas (WDPA) is the most comprehensive global database of protected areas and is updated monthly to support biodiversity conservation, environmental planning, and policy development. features ecological social wdpa_10m_fixed Protected Areas EPSG:4326 CRS:84 -179.99999999999997 179.99999999999997 -85.41188719977292 86.45372258582492 other other other other text/xml other other geonode:wdpa_points WDPA -- https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA wdpa_points ecological features EPSG:4326 CRS:84 -179.63332999999997 179.96670000000006 -77.54999999999995 76.50000000000006 other other other other text/xml other other geonode:wdpa_wdoecm_dec2024_public_na_shp_0__wdpa_wdoecm_dec2024_publi Download Data - World Database on Protected Areas Developed by the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) and the International Union for Conservation of Nature, this dataset provides the geographic boundaries and information of terrestrial and marine protected areas in North America. The World Database on Protected Areas (WDPA) is the most comprehensive global database of protected areas and is updated monthly to support biodiversity conservation, environmental planning, and policy development. features wdpa_wdoecm_dec2024_public_na_shp_0__wdpa_wdoecm_dec2024_publi ecological social Protected Areas EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 19.017609090000064 83.15112500000004 other other other other text/xml other other geonode:wdpa_wdoecm_oct2025_public_marine_shp_polygons features wdpa_wdoecm_oct2025_public_marine_shp_polygons EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -85.41188719999997 86.45371111000009 other other other other text/xml other other geonode:well_sites_okavango features well_sites_okavango EPSG:4326 CRS:84 19.44546 20.21388 -18.36108 -18.202699 other other other other text/xml other other geonode:well_sites_recon features well_sites_recon EPSG:4326 CRS:84 19.7485 20.0371888889 -18.603 -18.2223866 text/xml other other other other other other geonode:wells Download Data - Energy Data eXchange This dataset provides a global inventory of oil well locations. The oil well data are part of the Global Oil & Gas Features Database (GOGI), which compiles geospatial information from hundreds of open-access and authoritative sources to map oil and gas infrastructure worldwide. The dataset can be used to identify the global distribution of oil wells and assess potential environmental impacts associated with oil and gas development. Publication Date: 2023 features wells Fossil fuel oil fossil fuels EPSG:4326 CRS:84 -179.74740051163437 179.06715718182812 -77.58943442914787 80.80521215360767 other other other other text/xml other other geonode:wind_potential Download Data - ENERGYDATA.INFO Developed by the World Bank Group's Energy Sector Management Assistance Program (ESMAP), this dataset maps the technical potential for offshore wind development across more than 200 countries and territories. It estimates areas suitable for both fixed-bottom (shown in green) and floating (shown in dark blue) offshore wind technologies. This is based on technical constraints and resource availability. Published in 2020 Renewables features Marine wind_potential Renewable Wind Power Plant Ocean EPSG:4326 CRS:84 -179.99999999990004 180.00000000010004 -56.95506458560289 81.51114374768588 other other other other text/xml other other geonode:world_countries_updated A world map with national boundaries that match Large Scale International Boundaries (LSIB). LSIB is in WGS84 datum and boundaries reflect U.S. government (USG) policy and not necessarily de facto control. National maps of first and second administrative units nest within the world map. Data source: IPUMS International features world_countries_updated EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -89.99998341999998 83.63339233400006 other other other other text/xml other other