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Terrestrial Ecosystems Data Access and Tools
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 Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| LBA-ECO ND-02 Soil Volumetric Water Content, Tapajos National Forest, Brazil | 1 | FIELD INVESTIGATION | TDR | 1999-05-19 to 2001-05-19 |
N: -2.75 S: -2.75 E: -55 W: -55 |
CSV | |
| LBA-ECO ND-04 Secondary Forest Recovery, Structure, and LAI, Central Amazonia, Brazil | 1 | NOT APPLICABLE | NOT APPLICABLE | 2000-09-12 to 2001-09-01 |
N: -2 S: -2.5716 E: -59 W: -60.03 |
CSV | |
| LBA-ECO TG-07 Forest Structure Measurements for GLAS Validation: Santarem 2004 | 1 | FIELD INVESTIGATION | STEEL MEASURING TAPE, CLINOMETERS | 2004-11-08 to 2004-11-18 |
N: -2.848 S: -3.1991 E: -54.9125 W: -55 |
Text File | |
| LiDAR and PALSAR-Derived Forest Aboveground Biomass, Paragominas, Para, Brazil, 2012 | 1 | Airplane, ALOS | LIDAR, PALSAR | 2012-01-01 to 2013-12-31 |
N: -1.99755 S: -4.00605 E: -45.9981 W: -49.0036 |
GeoTIFF | |
| LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016 | 1 | MODELS, FIELD SURVEYS | Computer, STEEL MEASURING TAPE | 2002-01-01 to 2016-12-31 |
N: 49.353 S: 41.6644 E: -112.275 W: -125.581 |
multiple | |
| LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model | 1 | METEOROLOGICAL STATIONS | THERMOMETERS, RAIN GAUGES | 1973-01-01 to 2008-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| Literature-Derived Parameters for the BIOME-BGC Terrestrial Ecosystem Model | 1 | NOT APPLICABLE | NOT APPLICABLE | 1947-06-15 to 2000-06-21 |
N: 90 S: -90 E: 180 W: -180 |
CSV | |
| LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100 | 1 | MODELS | Computer | 2015-01-01 to 2100-01-01 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic | |
| Lund-Potsdam-Jena Wetland Hydrology and Methane DGV Model (LPJ-WHyMe v1.3.1) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1972-01-01 to 2010-10-15 |
N: 90 S: -60 E: 180 W: -180 |
multiple | |
| MAPSS: Mapped Atmosphere-Plant-Soil System Model, Version 1.0 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1995-01-01 to 1995-01-01 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| Mature and Old-growth Forest Probability Maps for the Conterminous United States | 1 | MODELS | Computer | 2022-01-01 to 2022-12-31 |
N: 49.3739 S: 24.2956 E: -66.9295 W: -124.761 |
COG | |
| Mean Annual Fluxes of Carbon in Coastal Ecosystems of Eastern North America | 1 | MODELS | Computer | 1976-01-01 to 2017-12-31 |
N: 45 S: 25 E: -65 W: -85 |
CSV | |
| NACP Biome-BGC Modeled Ecosystem Carbon Balance, Pacific Northwest, USA, 1986-2010 | 1 | MODELS | Computer | 1980-01-01 to 2011-12-31 |
N: 50 S: 42 E: -109 W: -125 |
multiple | |
| NACP Forest Age Maps at 1-km Resolution for Canada (2004) and the U.S.A. (2006) | 1 | LANDSAT-7 | ETM+, TM | 1950-01-01 to 2006-12-31 |
N: 67.008 S: 7.7126 E: -39.866 W: 179.251 |
multiple | |
| NACP: Forest Carbon Stocks, Fluxes and Productivity Estimates, Western USA, 1979-2099 | 1 | Models | Computer | 1979-01-01 to 2099-12-31 |
N: 49.0351 S: 31.1875 E: -101.961 W: -124.812 |
netCDF-4 classic | |
| NACP MCI: CO2 Emissions Inventory, Upper Midwest Region, USA., 2007 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2007-01-01 to 2007-12-31 |
N: 50 S: 36 E: -81 W: -105 |
multiple | |
| NACP NAFD Project: Forest Disturbance Intensity for CONUS from Landsat, 1986-2015 | 1 | LANDSAT | MULTI-SPECTRAL | 1986-01-01 to 2015-12-31 |
N: 51.68 S: 22.69 E: -65.2 W: -128.03 |
COG | |
| NACP North American Forest Dynamics Project: Forest Disturbance and Regrowth Data | 1 | LANDSAT-5 | MSS | 1984-06-04 to 2009-09-16 |
N: 49.7924 S: 26.5202 E: -67.9596 W: -126.458 |
GeoTIFF | |
| NACP Peatland Land Cover Map of Upper Peninsula, Michigan, 2007-2011 | 1 | ALOS, LANDSAT-5 | PALSAR | 2007-03-01 to 2011-10-01 |
N: 48.7456 S: 44.5422 E: -82.2881 W: -91.0847 |
GeoTIFF | |
| NACP Regional: Gridded 1-deg Observation Data and Biosphere and Inverse Model Outputs | 1 | Terra, Aqua | MODIS | 1990-01-01 to 2007-12-31 |
N: 84 S: 10 E: -50 W: -170 |
Shapefile | |
| NACP Regional: National Greenhouse Gas Inventories and Aggregated Gridded Model Data | 1 | NOT APPLICABLE | NOT APPLICABLE | 2000-01-01 to 2007-12-31 |
N: 84 S: 10 E: -50 W: -170 |
multiple | |
| NACP Regional: Original Observation Data and Biosphere and Inverse Model Outputs | 1 | NOT APPLICABLE | NOT APPLICABLE | 1990-01-01 to 2008-12-31 |
N: 84 S: 10 E: -50 W: -170 |
multiple | |
| NACP Regional: Supplemental Gridded Observations, Biosphere and Inverse Model Outputs | 1 | Terra, Aqua | MODIS | 1990-01-01 to 2008-12-31 |
N: 84 S: 10 E: -50 W: -170 |
Shapefile | |
| NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format | 1 | NOT APPLICABLE | NOT APPLICABLE | 1998-01-01 to 2007-12-31 |
N: 84 S: 10 E: -50 W: -170 |
Shapefile | |
| NACP Site: Terrestrial Biosphere Model Output Data in Original Format | 1 | NOT APPLICABLE | NOT APPLICABLE | 1990-01-01 to 2007-12-31 |
N: 84 S: 10 E: -50 W: -170 |
Shapefile |
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.
Data from NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission are adding to our understanding of carbon cycling and the structure and development of global biomes.
7 MIN READ
Join us for an introduction to GEDI Level 3 and Level 4 data products and to learn how to discover, access, visualize, and analyze the data.
Join us for an introduction to NASA’s Global Ecosystems Dynamics Investigation (GEDI) datasets and to learn how to use LP DAAC's web service, data prep script, and Jupyter Notebook Python tutorial series.
The latest dataset from the GEDI mission provides gridded estimates of aboveground biomass density at greater accuracy and resolution than previously available.
8 MIN READ
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