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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.
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
Terrestrial Ecosystems Datasets
| Dataset | Platforms | Instruments | Temporal Extent | Location Keywords | Spatial Extent | Data Format |
|---|---|---|---|---|---|---|
| AfriSAR: Canopy Structure Derived from PolInSAR and Coherence TomoSAR NISAR tools | UAV | UAVSAR | 2016-02-25 to 2016-03-08 | N: 0.61 S: -2.07788 E: 11.8642 W: 9.16944 | GeoTIFF | |
| AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016 | MODELS, B-200 | Computer, LVIS | 2016-02-20 to 2016-03-08 | GABON | N: 0.631722 S: -2.29494 E: 12.0244 W: 9.17929 | multiple |
| AfriSAR: Rainforest Canopy Height Derived from PolInSAR and Lidar Data, Gabon | B-200, COMPUTERS, UAV | LVIS, Computer, UAVSAR | 2016-02-27 to 2016-03-08 | N: 0.239961 S: -0.347461 E: 11.8303 W: 9.28806 | GeoTIFF | |
| AirMOSS: In Situ Soil Moisture and Tree Measurements, Harvard Forest, 2012-2013 | FIELD SURVEYS | SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, STEEL MEASURING TAPE | 2012-10-15 to 2013-08-22 | MASSACHUSETTS | N: 42.5492 S: 42.5361 E: -71.1755 W: -72.184 | CSV |
| ALOS PALSAR Low Resolution Radiometric Terrain Corrected Product | ALOS | PALSAR | 2006-03-23 to 2011-04-22 | N: 90 S: -90 E: 180 W: -180 | ||
| ALOS-2 PALSAR-2 Level 1 ScanSAR Product | ALOS-2 | PALSAR-2 | 2014-08-01 to Present | N: 90 S: -90 E: 180 W: -180 | ZIP | |
| Amazon Forest Structure from Airborne Lidar, ED2 Initial Condition Files, 2016 | COMPUTERS, AIRCRAFT | Computer, LIDAR | 2016-01-01 to 2016-12-31 | BRAZIL | N: 5 S: -14 E: -45 W: -74 | multiple |
| An Unexpectedly Large Count of Trees in the West African Sahara and Sahel | MODELS | Computer | 2005-11-01 to 2018-03-31 | WESTERN AFRICA | N: 24.0294 S: 11.3531 E: -5.48513 W: -18 | multiple |
| Annual Aboveground Biomass Maps for Forests in the Northwestern USA, 2000-2016 | Airplane, MODELS | LIDAR, Computer | 2000-01-01 to 2016-12-31 | WASHINGTON, OREGON, IDAHO, MONTANA | N: 50.7921 S: 39.8116 E: -110.312 W: -127.524 | GeoTIFF |
| Arctic Boreal Annual Burned Area, Circumpolar Boreal Forest and Tundra, V2, 2002-2022 | COMPUTERS, Terra | Computer, MODIS | 2002-01-01 to 2022-12-31 | ARCTIC | N: 83.626 S: 50 E: 177.16 W: -179.522 | COG |
SHOWING 10 OF 254
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