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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 | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| ABoVE: Wetland Vegetation Classification for Peace-Athabasca Delta, Canada, 2019 | 1 | PIPER NAVAJO CHIEFTAIN, G-III, B-200 | Riegl Airborne Lidar, UAVSAR, AVIRIS-NG | 2019-07-15 to 2019-09-15 |
N: 59.1425 S: 58.2123 E: -110.832 W: -112.107 |
multiple | |
| ABoVE: White Spruce Photosynthetic and Leaf Traits, Alaska and New York, 2017 | 1 | FIELD SURVEYS | LICOR GAS EXCHANGE SYSTEM, SPECTRORADIOMETERS, CAMERA | 2017-06-19 to 2017-07-20 |
N: 67.9947 S: 41.4011 E: -74.0246 W: -149.754 |
CSV | |
| Aboveground Biomass Density for High Latitude Forests from ICESat-2, 2020 | 1 | ICESat-2, Sentinel-2A | ATLAS, Sentinel-2 MSI | 2019-06-01 to 2021-09-30 |
N: 78.5313 S: 43.705 E: 178.399 W: -179.818 |
multiple | |
| Aboveground Biomass for Howland Forest, Maine, 2012-2023 | 1 | FIELD INVESTIGATION, COMPUTERS, G-LiHT | DBH Tape, Computer, LIDAR | 2012-01-01 to 2023-12-31 |
N: 45.2144 S: 45.1961 E: -68.7325 W: -68.7561 |
COG | |
| Aboveground Biomass High-Resolution Maps for Selected US Tidal Marshes, 2015 | 1.1 | Sentinel-1A, LANDSAT | SENTINEL-1 C-SAR, ETM+ | 2015-08-01 to 2015-09-01 |
N: 47.1174 S: 25.092 E: -69.9261 W: -122.734 |
GeoTIFF | |
| AfriSAR: Aboveground Biomass for Lope, Mabounie, Mondah, and Rabi Sites, Gabon | 1 | FIELD SURVEYS, Airplane, B-200 | STEEL MEASURING TAPE, LIDAR, LVIS | 2016-02-01 to 2016-03-31 |
N: 0.611119 S: -1.94602 E: 11.6436 W: 9.30308 |
COG | |
| AfriSAR: Canopy Structure Derived from PolInSAR and Coherence TomoSAR NISAR tools | 1 | UAV | UAVSAR | 2016-02-25 to 2016-03-08 |
N: 0.61 S: -2.07788 E: 11.8642 W: 9.16944 |
GeoTIFF | |
| AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016 | 1 | MODELS, B-200 | Computer, LVIS | 2016-02-20 to 2016-03-08 |
N: 0.631722 S: -2.29494 E: 12.0244 W: 9.17929 |
multiple | |
| AfriSAR: Rainforest Canopy Height Derived from PolInSAR and Lidar Data, Gabon | 1 | B-200, COMPUTERS, UAV | LVIS, Computer, UAVSAR | 2016-02-27 to 2016-03-08 |
N: 0.239961 S: -0.347461 E: 11.8303 W: 9.28806 |
GeoTIFF | |
| AirMOSS: In Situ Soil Moisture and Tree Measurements, Harvard Forest, 2012-2013 | 1 | FIELD SURVEYS | SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, STEEL MEASURING TAPE | 2012-10-15 to 2013-08-22 |
N: 42.5492 S: 42.5361 E: -71.1755 W: -72.184 |
CSV |
SHOWING 10 OF 324
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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