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 |
|---|---|---|---|---|---|---|---|
| ECHIDNA LIDAR Campaigns: Forest Canopy Imagery and Field Data, U.S.A., 2007-2009 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2007-08-01 to 2009-08-05 |
N: 45.2148 S: 36.961 E: -68.7236 W: -119.249 |
multiple | |
| Ecosystem Demography Model: U.S. Ecosystem Carbon Stocks and Fluxes, 1700-1990 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1700-01-01 to 1990-12-31 |
N: 52 S: 21.5 E: -30.5 W: -164.5 |
multiple | |
| ERS-1 Level 0 Product | 1 | ERS-1 | SAR | 1991-08-08 to 1997-09-29 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-1 Level 1 Product | 1 | ERS-1 | SAR | 1991-08-08 to 1997-09-29 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-2 Level 0 Product | 1 | ERS-2 | SAR | 1995-10-01 to 2011-07-04 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-2 Level 1 Product | 1 | ERS-2 | SAR | 1995-10-01 to 2011-07-04 |
N: 90 S: -90 E: 180 W: -180 |
||
| Field Data on Soils, Vegetation, and Fire History for Alaska Tundra Sites, 1972-2020 | 1 | FIELD SURVEYS | VISUAL CENSUS TRANSECTS, THERMOMETERS | 1972-08-01 to 2020-08-15 |
N: 71.334 S: 61.1397 E: -141.683 W: -166.41 |
CSV | |
| Fire Intensity and Burn Severity Metrics for Circumpolar Boreal Forests, 2001-2013 | 1 | COMPUTERS, Terra, Aqua | Computer, MODIS | 2001-01-01 to 2013-12-31 |
N: 80 S: 40 E: 180 W: -180 |
GeoTIFF | |
| FLUXNET Canada Research Network - Canadian Carbon Program Data Collection, 1993-2014 | 1 | METEOROLOGICAL STATIONS, FIELD SURVEYS | PYRANOMETERS, ANEMOMETERS, RAIN GAUGES, THERMOCOUPLES, THERMOMETERS, THERMISTORS, STEEL MEASURING TAPE, CO2 ANALYZERS, PROBES | 1993-01-01 to 2014-12-31 |
N: 55.88 S: 42.6609 E: -67.0993 W: -125.334 |
CSV | |
| FLUXNET Research Network Site Characteristics, Investigators, and Bibliography, 2016 | 1 | GROUND STATIONS, GROUND-BASED OBSERVATIONS | ANEMOMETERS, RAIN GAUGES, THERMOMETERS | 1991-01-01 to 2016-12-31 |
N: 78.921 S: -62.2321 E: 175.554 W: -157.409 |
CSV | |
| Foliar Trait and Spectroscopy Data, Greater Cape Floristic Region, South Africa | 1 | FIELD INVESTIGATION, LABORATORY | SPECTROMETERS, MASS SPECTROMETERS | 1966-01-01 to 2014-12-31 |
N: -30.3922 S: -34.4 E: 24.4833 W: 18.374 |
CSV | |
| Forest Aboveground Biomass and Carbon Sequestration Potential, Northeastern USA | 1 | MODELS | Computer | 2011-01-01 to 2011-12-31 |
N: 49.0223 S: 36.8038 E: -66.0584 W: -81.2256 |
GeoTIFF | |
| Forest Aboveground Biomass for Maine, 2023 | 1 | COMPUTERS | Computer | 2023-01-01 to 2023-12-31 |
N: 47.461 S: 42.9074 E: -66.6761 W: -71.3389 |
COG | |
| Forest Aboveground Biomass for the Southwestern U.S. from MISR, 2000-2021 | 1 | Terra | MISR | 2000-05-15 to 2021-06-30 |
N: 46.2812 S: 28.599 E: -99.0185 W: -126.18 |
GeoTIFF | |
| Forest Carbon Stocks and Fluxes After Disturbance, Southeastern USA, 1990-2010 | 1.1 | MODELS | Computer | 1986-01-01 to 2010-12-31 |
N: 40.8894 S: 23.2283 E: -71.2798 W: -89.0103 |
GeoTIFF | |
| Forest Carbon Stocks and Fluxes from the NFCMS, Conterminous USA, 1990-2010 | 2 | MODELS | Computer | 1986-01-01 to 2010-12-31 |
N: 50.366 S: 23.1873 E: -65.7307 W: -127.686 |
GeoTIFF | |
| Forest Inventories at Burned and Unburned Tropical Forest Sites, Acre, Brazil, 2014 | 1 | FIELD SURVEYS | STEEL MEASURING TAPE | 2014-07-01 to 2014-08-31 |
N: -9.73446 S: -9.89909 E: -67.0199 W: -67.637 |
CSV | |
| Forest Inventory and Biophysical Measurements, Brazilian Amazon, 2009-2018 | 1 | FIELD SURVEYS | VISUAL OBSERVATIONS | 2009-01-01 to 2018-12-31 |
N: -1.5 S: -13.0928 E: -46.8288 W: -67.9824 |
multiple | |
| Forest Preservation Ranking and Vertebrate Species Richness, Western USA, 2020-2099 | 1 | CLM-LSM | Computer | 2001-01-01 to 2099-12-31 |
N: 52.015 S: 27.71 E: -100.502 W: -132.503 |
multiple | |
| Forest Structural Diversity of Central Africa and the Western US mapped using GEDI | 1 | AIRCRAFT, ISS | LIDAR, GEDI | 2013-01-01 to 2023-03-16 |
N: 49.662 S: -8.0836 E: 32.666 W: -125.311 |
multiple | |
| Forest Structure and Biomass Data, La Selva, Costa Rica: 2006 | 1 | FIELD SURVEYS | STEEL MEASURING TAPE, CLINOMETERS | 2006-02-11 to 2006-02-23 |
N: 10.4219 S: 10.4219 E: -84.0212 W: -84.0212 |
multiple | |
| GEDI L4A Footprint Level Aboveground Biomass Density, Golden Weeks, Version 1 | 1.1 | ISS, MODELS | GEDI, Computer | 2019-04-18 to 2019-09-05 |
N: 52.4561 S: -52.2008 E: 180 W: -180 |
HDF5 | |
| GEDI L4A Footprint Level Aboveground Biomass Density, Version 1 | 1 | MODELS, ISS | Computer, GEDI | 2019-04-18 to 2020-09-03 |
N: 53.994 S: -54.1988 E: 180 W: -180 |
binary | |
| GEDI L4A Footprint Level Aboveground Biomass Density, Version 2 | 2 | ISS, COMPUTERS | GEDI, Computer | 2019-04-17 to 2021-08-05 |
N: 53.9933 S: -52.2046 E: 180 W: -180 |
binary | |
| GEDI L4A Footprint Level Aboveground Biomass Density, Version 2.1 | 2.1 | COMPUTERS, ISS | Computer, GEDI | 2019-04-17 to 2025-07-09 |
N: 55.8 S: -53 E: 180 W: -180 |
HDF5 |
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.
Get Help
QUESTIONS & SUPPORT
Get help with NASA Earth science data, datasets, tools, services, and metadata on the Earthdata Forum. Experienced staff in the data user community review and answer questions.
Get help on Earthdata ForumForum