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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.
Terrestrial Ecosystems Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 | |
| GEDI L4B Gridded Aboveground Biomass Density, Version 2 | 2 | ISS | GEDI | 2019-04-18 to 2021-08-04 |
N: 52 S: -52 E: 180 W: -180 |
binary | |
| GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 | 2.1 | ISS | GEDI | 2019-04-18 to 2023-03-16 |
N: 52 S: -52 E: 180 W: -180 |
COG | |
| GEDI L4C Footprint Level Waveform Structural Complexity Index, Version 2 | 2 | ISS, COMPUTERS | GEDI, Computer | 2019-04-17 to 2025-03-19 |
N: 55.8 S: -53 E: 180 W: -180 |
HDF5 | |
| GEDI L4C Global Waveform Structural Complexity Index (WSCI) Fusion Product, Version 2 | 2 | Sentinel-1B, TSX, ALOS-2, Sentinel-1A, ISS | SENTINEL-1 C-SAR, X-SAR, PALSAR-2, GEDI | 2015-01-01 to 2023-01-01 |
N: 75.1138 S: -56.0002 E: 178.685 W: -177.692 |
COG | |
| GEDI L4C Gridded Waveform Structural Complexity Index, Version 2 | 2 | ISS | GEDI | 2019-04-18 to 2023-03-17 |
N: 52.5243 S: -53.2463 E: 180 W: -180 |
COG | |
| Geoecology: County-Level Environmental Data for the United States, 1941-1981 | 1 | COMPUTERS | Computer | 1941-01-01 to 1981-12-31 |
N: 49.3844 S: 24.4981 E: -66.9499 W: -124.763 |
Text File | |
| Geospatial Data for Modeling Soil Carbon Stocks across Pacific Northwest Watersheds | 1 | Sentinel-2A, Models, FIELD SURVEYS | Sentinel-2 MSI, Computer, SURVEYING TOOLS | 2012-01-01 to 2022-12-31 |
N: 58.7242 S: 46.7725 E: -118.086 W: -134.983 |
multiple | |
| Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 | 1 | MAPS | 1950-01-01 to 2010-12-31 |
N: 70 S: -70 E: 180 W: -180 |
multiple | ||
| Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 | 1 | MODELS | Computer | 2010-01-01 to 2010-12-31 |
N: 84 S: -61.1 E: 180 W: -180 |
GeoTIFF | |
| Global Forest Aboveground Carbon Stocks and Fluxes from GEDI and ICESat-2, 2018-2021 | 1 | ICESat-2, ISS | ATLAS, GEDI | 2018-10-01 to 2021-10-01 |
N: 90 S: -90 E: 180 W: -180 |
COG | |
| Global Forest Ecosystem Structure and Function Data For Carbon Balance Research | 1 | NOAA-14 | AVHRR | 1897-01-01 to 2006-12-31 |
N: 67.36 S: -42.87 E: 172.75 W: -159.5 |
Shapefile | |
| Global Peatland Carbon Balance and Land Use Change CO2 Emissions Through the Holocene | 1 | MODELS | Computer | 1000-01-01 to 2001-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| Greater Kruger National Park, GEDI Canopy Metrics, 2007-2024 | 1 | ISS, Sentinel-1A, COMPUTERS | GEDI, PALSAR, Computer | 2007-01-01 to 2024-12-31 |
N: -22.2749 S: -26.1412 E: 32.0531 W: 29.7381 |
COG | |
| Green Vegetation Fraction High-Resolution Maps for Selected US Tidal Marshes, 2015 | 1 | Airplane, LANDSAT | CAMERA, ETM+ | 2013-09-25 to 2015-08-27 |
N: 47.121 S: 25.0847 E: -69.9266 W: -122.746 |
GeoTIFF | |
| Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004 | 1 | MODELS | Computer | 2000-01-01 to 2005-01-01 |
N: 22.0081 S: -34.8145 E: 61.5253 W: -20.6077 |
GeoTIFF | |
| Gridded GEDI-Fusion Forest Structure Metrics across Six Western US States, 2016-2020 | 1 | ISS, COMPUTERS | GEDI, Computer | 2016-01-01 to 2020-12-31 |
N: 51.4317 S: 34.383 E: -101.728 W: -127.113 |
COG |
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
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