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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 |
|---|---|---|---|---|---|---|---|
| Delta-X: In Situ Water Surface Reflectance across MRD, LA, USA, 2021, V3 | 3 | FIELD SURVEYS | PSR | 2021-03-25 to 2021-09-24 |
N: 29.7545 S: 28.7913 E: -90.5697 W: -91.4676 |
CSV | |
| Delta-X: Matlab Model for Wax Lake Delta Land Accretion | 1 | Models | Computer | 2021-03-20 to 2021-08-27 |
N: 29.59 S: 29.39 E: -91.33 W: -91.58 |
ZIP | |
| Delta-X: Modeled Land Accretion Rate Maps, Wax Lake Delta, MRD, LA, USA, 2021 | 1 | COMPUTERS | Computer | 2021-03-20 to 2021-08-27 |
N: 29.595 S: 29.3892 E: -91.3286 W: -91.5784 |
netCDF-4 classic | |
| Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties | 1 | COMPUTERS | Computer | 2020-01-01 to 2022-12-31 |
N: 29.76 S: 28.72 E: -90.19 W: -91.86 |
multiple | |
| Delta-X: Soil Properties for Herbaceous Wetlands, MRD, Louisiana, 2021, V3 | 3 | Analytical Lab, FIELD SURVEYS | IRMS, CHN ANALYZERS, COLORIMETERS, CORING DEVICES | 2021-03-21 to 2021-08-19 |
N: 29.5102 S: 29.1714 E: -90.8219 W: -91.4451 |
CSV | |
| Dendrometer, Soil, and Weather Observations, Arctic Tree Line, AK and NWT, 2016-2019 | 1 | METEOROLOGICAL STATIONS, FIELD SURVEYS | PYRANOMETERS, HUMIDITY SENSORS, SOIL TEMPERATURE PROBE, DENDROMETERS, SOIL MOISTURE PROBE | 2016-06-07 to 2019-09-13 |
N: 68.7274 S: 67.9724 E: -133.531 W: -149.761 |
CSV | |
| Development and Evolution of NASA Satellite Remote Sensing for Ecology | 1 | Publications | Computer | 1972-01-01 to 2014-12-31 |
N: 90 S: -90 E: 180 W: -180 |
||
| Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989-2012 | 1 | LANDSAT, MODELS, Terra | ETM+, TM, Computer, MODIS | 1989-01-01 to 2012-12-31 |
N: 67 S: 49 E: 143 W: 90 |
GeoTIFF | |
| Distribution of Young Forests and Estimated Stand Age across Russia, 2012 | 1 | Aqua, Terra, LANDSAT-7, LANDSAT-5 | MODIS, ETM+, TM | 2012-01-01 to 2012-12-31 |
N: 87.2402 S: 32.8631 E: 180 W: -180 |
GeoTIFF | |
| Disturbance History and Forest Biomass from Landsat for Six US Sites, 1985-2014 | 1 | FIELD SURVEYS, LANDSAT | STEEL MEASURING TAPE, LIDAR | 1984-01-01 to 2014-12-31 |
N: 48.2886 S: 32.2654 E: -68.4809 W: -123.235 |
netCDF-4 classic | |
| ECHIDNA LIDAR Campaigns: Forest Canopy Imagery and Field Data, U.S.A., 2007-2009 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2007-08-01 to 2009-08-05 |
N: 45.2148 S: 36.961 E: -68.7236 W: -119.249 |
multiple | |
| Ecosystem Demography Model: U.S. Ecosystem Carbon Stocks and Fluxes, 1700-1990 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1700-01-01 to 1990-12-31 |
N: 52 S: 21.5 E: -30.5 W: -164.5 |
multiple | |
| ERS-1 Level 0 Product | 1 | ERS-1 | SAR | 1991-08-08 to 1997-09-29 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-1 Level 1 Product | 1 | ERS-1 | SAR | 1991-08-08 to 1997-09-29 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-2 Level 0 Product | 1 | ERS-2 | SAR | 1995-10-01 to 2011-07-04 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-2 Level 1 Product | 1 | ERS-2 | SAR | 1995-10-01 to 2011-07-04 |
N: 90 S: -90 E: 180 W: -180 |
||
| Field Data on Soils, Vegetation, and Fire History for Alaska Tundra Sites, 1972-2020 | 1 | FIELD SURVEYS | VISUAL CENSUS TRANSECTS, THERMOMETERS | 1972-08-01 to 2020-08-15 |
N: 71.334 S: 61.1397 E: -141.683 W: -166.41 |
CSV | |
| Fire Intensity and Burn Severity Metrics for Circumpolar Boreal Forests, 2001-2013 | 1 | COMPUTERS, Terra, Aqua | Computer, MODIS | 2001-01-01 to 2013-12-31 |
N: 80 S: 40 E: 180 W: -180 |
GeoTIFF | |
| FLUXNET Canada Research Network - Canadian Carbon Program Data Collection, 1993-2014 | 1 | METEOROLOGICAL STATIONS, FIELD SURVEYS | PYRANOMETERS, ANEMOMETERS, RAIN GAUGES, THERMOCOUPLES, THERMOMETERS, THERMISTORS, STEEL MEASURING TAPE, CO2 ANALYZERS, PROBES | 1993-01-01 to 2014-12-31 |
N: 55.88 S: 42.6609 E: -67.0993 W: -125.334 |
CSV | |
| FLUXNET Research Network Site Characteristics, Investigators, and Bibliography, 2016 | 1 | GROUND STATIONS, GROUND-BASED OBSERVATIONS | ANEMOMETERS, RAIN GAUGES, THERMOMETERS | 1991-01-01 to 2016-12-31 |
N: 78.921 S: -62.2321 E: 175.554 W: -157.409 |
CSV | |
| Foliar Trait and Spectroscopy Data, Greater Cape Floristic Region, South Africa | 1 | FIELD INVESTIGATION, LABORATORY | SPECTROMETERS, MASS SPECTROMETERS | 1966-01-01 to 2014-12-31 |
N: -30.3922 S: -34.4 E: 24.4833 W: 18.374 |
CSV | |
| Forest Aboveground Biomass and Carbon Sequestration Potential, Northeastern USA | 1 | MODELS | Computer | 2011-01-01 to 2011-12-31 |
N: 49.0223 S: 36.8038 E: -66.0584 W: -81.2256 |
GeoTIFF | |
| Forest Aboveground Biomass for Maine, 2023 | 1 | COMPUTERS | Computer | 2023-01-01 to 2023-12-31 |
N: 47.461 S: 42.9074 E: -66.6761 W: -71.3389 |
COG | |
| Forest Aboveground Biomass for the Southwestern U.S. from MISR, 2000-2021 | 1 | Terra | MISR | 2000-05-15 to 2021-06-30 |
N: 46.2812 S: 28.599 E: -99.0185 W: -126.18 |
GeoTIFF | |
| Forest Carbon Stocks and Fluxes from the NFCMS, Conterminous USA, 1990-2010 | 2 | MODELS | Computer | 1986-01-01 to 2010-12-31 |
N: 50.366 S: 23.1873 E: -65.7307 W: -127.686 |
GeoTIFF |
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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