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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 |
|---|---|---|---|---|---|---|
| CMS: Vegetative Lifeform Cover from Landsat SR for CONUS, 1984-2018 | MODELS, LANDSAT-5, G-LiHT, LANDSAT-7 | Computer, TM, LIDAR, ETM+ | 1984-01-01 to 2018-12-31 | UNITED STATES OF AMERICA | N: 50.6625 S: 23.2663 E: -65.0638 W: -126.714 | GeoTIFF |
| CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska, 2016-2019 | SATELLITES, FIELD SURVEYS, COMPUTERS | Sentinel-2 MSI, SENTINEL-1 C-SAR, WATER BOTTLES, Computer | 2016-07-07 to 2019-07-07 | ALASKA | N: 61.6781 S: 60.895 E: -162.073 W: -163.82 | multiple |
| Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011 | MODELS | Computer | 2006-01-01 to 2011-12-31 | UNITED STATES OF AMERICA | N: 48.9917 S: 20.3831 E: -56.6627 W: -135.028 | multiple |
| Collected Data from The Boreal Ecosystem-Atmosphere Study, NASA, CD-ROM | FIELD SURVEYS, LANDSAT, Airplane, SATELLITES, GOES | HUMIDITY SENSORS, TEMPERATURE SENSORS, PROBES, NETS, SOIL SAMPLER, MSS, TM, CAMERAS, RADIOSONDES, RAWINSONDES, VEGETATION-1, AVHRR | 1993-01-01 to 1997-03-31 | N: 59.98 S: 50.09 E: -93.5 W: -111 | Shapefile | |
| Conifer Needle Chlorophyll Fluorescence, Niwot Ridge, Colorado, USA, 2017-2018 | FIELD SURVEYS | PAM | 2017-07-10 to 2018-06-11 | COLORADO | N: 40.03 S: 40.03 E: -105.55 W: -105.55 | CSV |
| Conifer Needle Pigment Composition, Niwot Ridge, Colorado, USA, 2017-2018 | LABORATORY | LIQUID CHROMATOGRAPHS | 2017-07-09 to 2018-06-11 | COLORADO | N: 40.03 S: 40.03 E: -105.55 W: -105.55 | CSV |
| Deciduous Fractional Cover and Tree Canopy Cover for Boreal North America, 1992-2015 | LANDSAT-5, LANDSAT-7, LANDSAT-8 | TM, ETM+, OLI | 1992-01-01 to 2015-12-31 | CANADA, MINNESOTA, NORTH DAKOTA, MONTANA, WASHINGTON | N: 80.25 S: 39.9997 E: -49.9998 W: -179.94 | COG |
| Delta-X AVIRIS-NG and UAVSAR L3 Derived Forest Aboveground Biomass, MRD, LA | G-III, B-200 | UAVSAR, AVIRIS-NG | 2021-09-23 to 2021-09-24 | LOUISIANA | N: 29.7069 S: 28.9907 E: -90.3607 W: -91.5934 | COG |
| Delta-X: Aboveground Biomass and Necromass across Wetlands, MRD, Louisiana, 2021, V2 | FIELD SURVEYS, LABORATORY | CHNS/O ELEMENTAL ANALYZERS, SURVEYING TOOLS, COLORIMETERS | 2021-03-19 to 2021-08-27 | LOUISIANA | N: 29.5102 S: 29.1714 E: -90.8219 W: -91.8852 | CSV |
| Delta-X: Aboveground Vegetation Structure, Herbaceous Wetlands, MRD, LA, USA, V2 | FIELD SURVEYS | VISUAL OBSERVATIONS, SURVEYING TOOLS | 2021-03-21 to 2021-08-27 | LOUISIANA | N: 29.5101 S: 29.1714 E: -90.8219 W: -91.8852 | CSV |
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