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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 |
|---|---|---|---|---|---|---|
| The PANGEA Scoping Study Final Report | AIRCRAFT, FIELD INVESTIGATION | LVIS, AVIRIS, UAVSAR, SURVEYING TOOLS | 2023-05-01 to 2032-12-31 | GLOBAL | N: 90 S: -90 E: 180 W: -180 | |
| Tidal Wetland Soil Carbon Stocks for the Conterminous United States, 2006-2010 | MODELS, FIELD SURVEYS | Computer, CARBON ANALYZERS | 2006-01-01 to 2010-12-31 | N: 48.2372 S: 22.7286 E: -65.2711 W: -127.966 | multiple | |
| Tidal Wetlands Soil Organic Carbon and Estuarine Characteristics, USA, 1972-2015 | MODELS, FIELD SURVEYS | Computer | 1972-01-01 to 2015-12-31 | UNITED STATES OF AMERICA | N: 47.8222 S: 25.1873 E: -67.0547 W: -124.385 | CSV |
| Timeseries of Arctic-Boreal Lake Area Derived from CubeSat Imagery, 2017 | SATELLITES | CAMERA | 2017-05-01 to 2017-10-01 | ALASKA, CANADA, ARCTIC | N: 70.3105 S: 52.8149 E: -89.8193 W: -149.699 | multiple |
| Tower-based PhotoSpec Products for the 2019 and 2020 Spring Transition Season, SK, CA | FIELD INVESTIGATION | SPECTROMETERS | 2019-03-20 to 2020-06-26 | SASKATCHEWAN | N: 53.98 S: 53.97 E: -105.11 W: -105.12 | CSV |
| Tree Cover Estimates at 30 m Resolution for Mexico, 2016-2018 | LANDSAT-5, Airplane, Aqua, LANDSAT-8, MODELS | MSS, CAMERAS, MODIS, OLI, Computer | 2016-01-01 to 2018-12-31 | MEXICO | N: 32.7192 S: 14.5333 E: -86.7008 W: -118.404 | COG |
| Tree Inventory and Biometry Measurements, Tapajos National Forest, Para, Brazil, 2010 | FIELD SURVEYS, COMPUTERS | STEEL MEASURING TAPE, Computer | 2010-08-31 to 2010-09-16 | N: -2.8603 S: -3.1529 E: -54.9488 W: -54.9857 | multiple | |
| Tree Mortality from Fires and Bark Beetles at 1-km Resolution, Western USA, 2003-2012 | FIELD SURVEYS, Airplane, COMPUTERS, SATELLITES | VISUAL OBSERVATIONS, Computer, QUICKBIRD/BHRC-60 | 2003-01-01 to 2012-12-31 | UNITED STATES OF AMERICA | N: 52.0938 S: 28.4705 E: -100.538 W: -130.435 | GeoTIFF |
| Tundra Plant Reflectance, CO2 Exchange, PAM Fluorometry, and Pigments, AK, 2001-2002 | FIELD SURVEYS | FLUOROMETERS, INFRARED THERMOMETERS, SPECTROMETERS | 2001-06-08 to 2002-08-16 | ALASKA | N: 71.32 S: 70.453 E: -156.598 W: -157.407 | CSV |
| Urban Biogenic CO2 fluxes: GPP, Reco and NEE Estimates from SMUrF, 2010-2019 | MODELS, SATELLITES | Computer, MODIS | 2010-01-01 to 2019-12-31 | CHINA, AUSTRALIA, CENTRAL AFRICA, UNITED STATES OF AMERICA, WESTERN EUROPE | N: 60 S: -40 E: 155 W: -125 | netCDF-4 classic |
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