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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 |
|---|---|---|---|---|---|---|
| LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2003-2004 | FIELD INVESTIGATION | VISUAL OBSERVATIONS | 2004-07-14 to 2004-07-21 | N: -10.96 S: -15.65 E: -54 W: -58.25 | multiple | |
| LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2005 | FIELD INVESTIGATION, Terra | VISUAL OBSERVATIONS, GPS, MODIS | 2005-03-17 to 2005-03-24 | N: -11.5 S: -13.1334 E: -54.2833 W: -55.75 | multiple | |
| LBA-ECO LC-24 Forest Cover Map from MODIS, 500-m, South America: 2001 | Terra | MODIS | 2001-01-01 to 2001-12-31 | SOUTH AMERICA | N: 13.6922 S: -56.4548 E: -34.2236 W: -86.3842 | GeoTIFF |
| LBA-ECO LC-31 Simple Tropical Ecosystem Model | NOT APPLICABLE | NOT APPLICABLE | 2002-06-19 to 2003-08-28 | N: -2.855 S: -2.855 E: -54.959 W: -54.959 | CSV | |
| LBA-ECO ND-02 Soil Volumetric Water Content, Tapajos National Forest, Brazil | 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 | 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 | 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 | Airplane, ALOS | LIDAR, PALSAR | 2012-01-01 to 2013-12-31 | BRAZIL | N: -1.99755 S: -4.00605 E: -45.9981 W: -49.0036 | GeoTIFF |
| LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016 | MODELS, FIELD SURVEYS | Computer, STEEL MEASURING TAPE | 2002-01-01 to 2016-12-31 | IDAHO, OREGON, MONTANA, WASHINGTON | N: 49.353 S: 41.6644 E: -112.275 W: -125.581 | multiple |
| LiDAR-derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016, V2 | SPACE SHUTTLES, AIRCRAFT, MODELS | SRTM, LIDAR, Computer | 2002-01-01 to 2016-12-31 | IDAHO, WASHINGTON, MONTANA, OREGON | N: 50.4064 S: 40.9505 E: -111.4 W: -127.046 | COG |
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