NASA has terrestrial ecosystem datasets that help researchers characterize natural areas around the world. Access a range of data and data tools such as AppEEARS, Worldview, and Giovanni to make the most of terrestrial ecosystem data.
Terrestrial Ecosystems Data Access and Tools
Terrestrial Ecosystems Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| BOREAS TGB-12 Soil Carbon and Flux Data of NSA-MSA in Raster Format | 1 | NOT APPLICABLE | NOT APPLICABLE | 1937-01-01 to 1996-12-31 |
N: 59.34 S: 50.57 E: -94.08 W: -110.05 |
Binary | |
| Burned and Unburned Field Site Data, Noatak, Seward, and North Slope, AK, 2016-2018 | 1 | FIELD SURVEYS | SOIL MOISTURE PROBE, THERMOMETERS | 2016-07-22 to 2018-08-27 |
N: 69.6632 S: 65.0181 E: -148.641 W: -164.929 |
multiple | |
| Carbon Pools across CONUS using the MaxEnt Model, 2005, 2010, 2015, 2016, and 2017 | 1 | LANDSAT-5, SPACE SHUTTLES, ALOS, FIELD SURVEYS, Aqua, ALOS-2, LANDSAT-8, MODELS | TM, SRTM, PALSAR, Computer, SURVEYING TOOLS, MODIS, PALSAR-2, OLI | 2005-01-01 to 2017-12-31 |
N: 52.8561 S: 21.5875 E: -64.1285 W: -130.233 |
GeoTIFF | |
| CARDAMOM Carbon-Water-Energy Reanalysis v1100.1, 2001-2021 | 1 | GOSAT, OCO-2, MODELS, Terra, Aqua | TANSO-FTS-2, OCO SPECTROMETERS, Computer, MODIS | 2001-01-01 to 2021-12-31 |
N: 82 S: -54 E: 180 W: -180 |
multiple | |
| CARVE: Alaskan Fire Emissions Database (AKFED), 2001-2013 | 1 | FIELD INVESTIGATION, MODELS, SATELLITES | Computer, MODIS | 2001-01-01 to 2013-12-31 |
N: 71.499 S: 58 E: -141 W: -168.5 |
GeoTIFF | |
| CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1995-01-01 to 1995-01-01 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| Characteristics of African Savanna Biomes for Determining Woody Cover | 1 | FIELD INVESTIGATION, NOAA-7, LABORATORY, FIELD SURVEYS | DENSIOMETERS, AVHRR, CHN ANALYZERS, VISUAL OBSERVATIONS | 1981-01-01 to 2003-12-31 |
N: 16.761 S: -27.75 E: 37.2375 W: -15.8392 |
CSV | |
| Circumpolar Arctic Vegetation, Geobotanical, Physiographic Maps, 1982-2003 | 1 | FIELD SURVEYS, LANDSAT-5 | STEEL MEASURING TAPE, AVHRR | 1982-06-01 to 2010-09-30 |
N: 90 S: 55.8 E: 180 W: -180 |
multiple | |
| Circumpolar Boreal Forest Aboveground Biomass Density, V3 | 3 | ICESat-2, LANDSAT, ISS, MODELS | ATLAS, Sentinel-2 MSI, GEDI, Computer | 2020-01-01 to 2020-12-31 |
N: 78.5313 S: 43.7519 E: 179.822 W: -180 |
COG | |
| Classification of Global Forests for IPCC Aboveground Biomass Tier 1 Estimates, 2020 | 1 | COMPUTERS | Computer | 2020-01-01 to 2020-12-31 |
N: 90 S: -90 E: 180 W: -180 |
COG | |
| CMS: Estimated Deforested Area Biomass, Tropical America, Africa, and Asia, 2000 | 1 | SATELLITES, COMPUTERS, LANDSAT-7 | GLAS, Computer, ETM+ | 2000-01-01 to 2012-12-31 |
N: 30 S: -29.9999 E: 180 W: -119 |
GeoTIFF | |
| CMS: Forest Aboveground Biomass from FIA Plots across the Conterminous USA, 2009-2019 | 1 | FIELD SURVEYS | Computer | 2009-01-01 to 2019-12-31 |
N: 49.5076 S: 24.3193 E: -66.6917 W: -125.009 |
multiple | |
| CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005 | 1 | MODELS | Computer | 2005-01-01 to 2005-12-31 |
N: 52 S: 21 E: -65 W: -129 |
netCDF-4 | |
| CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010 | 1 | MODELS | Computer | 2005-01-01 to 2010-12-31 |
N: 50 S: 19.2881 E: -55.8472 W: -136.153 |
GeoTIFF | |
| CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) | 1 | MODELS | Computer | 2001-01-01 to 2015-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) | 1.3.1.1 | MODELS | Computer | 2001-01-01 to 2019-12-31 |
N: 89.75 S: -89.75 E: 179.75 W: -179.75 |
netCDF-3 | |
| CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3) | 1.3.3 | COMPUTERS | Computer | 2001-01-01 to 2022-08-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-3 | |
| CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 | 1 | Airplane | LIDAR | 2012-07-27 to 2014-12-27 |
N: -2.55319 S: -3.76718 E: -46.7931 W: -48.4958 |
multiple | |
| CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA | 1 | ALOS | LIDAR | 2011-01-01 to 2011-12-31 |
N: 43.96 S: 35.78 E: -76.36 W: -123.61 |
GeoTIFF | |
| CMS: LiDAR-derived Tree Canopy Cover for States in the Northeast USA | 1.1 | MODELS, Airplane | Computer, AIRBORNE LASER SCANNER, CAMERAS | 2008-01-01 to 2014-08-30 |
N: 43.0987 S: 37.7092 E: -74.1541 W: -81.1415 |
GeoTIFF | |
| CMS: Terrestrial Carbon Stocks, Emissions, and Fluxes for Conterminous US, 2001-2016 | 1 | LANDSAT-8, Aqua, ALOS, ALOS-2, DEM, MODELS, LANDSAT-5 | OLI, MODIS, PALSAR, PALSAR-2, SRTM, Computer, TM | 2001-01-01 to 2016-12-31 |
N: 50 S: 25 E: -60 W: -130 |
netCDF-4 | |
| CMS: Tree Canopy Cover at 0.5-meter resolution, Vermont, 2016 | 1 | MODELS | Computer | 2016-07-27 to 2016-09-13 |
N: 45.0224 S: 42.7004 E: -71.4559 W: -73.4858 |
COG | |
| CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019 | 2 | MODELS, LANDSAT-8, LANDSAT-7, LANDSAT-5, LANDSAT-4, ISS | Computer, OLI, TIRS, ETM+, TM, SRTM | 2000-01-01 to 2019-12-31 |
N: 33.7967 S: 13.4057 E: -84.6252 W: -119.226 |
COG | |
| CMS: Vegetative Lifeform Cover from Landsat SR for CONUS, 1984-2018 | 1 | MODELS, LANDSAT-5, G-LiHT, LANDSAT-7 | Computer, TM, LIDAR, ETM+ | 1984-01-01 to 2018-12-31 |
N: 50.6625 S: 23.2663 E: -65.0638 W: -126.714 |
GeoTIFF | |
| CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska, 2016-2019 | 1 | SATELLITES, FIELD SURVEYS, COMPUTERS | Sentinel-2 MSI, SENTINEL-1 C-SAR, WATER BOTTLES, Computer | 2016-07-07 to 2019-07-07 |
N: 61.6781 S: 60.895 E: -162.073 W: -163.82 |
multiple |
Featured Terrestrial Ecosystem Observation Method: GEDI Lidar
The Global Ecosystem Dynamics Investigation (GEDI) instrument is a full-waveform lidar aboard the International Space Station that maps the 3D structure of Earth’s surface. GEDI's three lasers precisely measure forest canopy height, canopy vertical structure, and surface elevation. The instrument's 3D data provide scientists with measurements to calculate the amount of biomass and carbon in forests and how much they lose when disturbed or destroyed.
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