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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 |
|---|---|---|---|---|---|---|
| SAFARI 2000 PAI Estimates from Hemispherical Photography, Kalahari Transect | NOT APPLICABLE | NOT APPLICABLE | 2000-02-01 to 2000-09-30 | N: -15.4378 S: -24.1475 E: 25.5003 W: 21.8928 | CSV | |
| SAFARI 2000 Pre- and Post-fire Reflectance near Kaoma, Zambia, Dry Season 2000 | FIELD INVESTIGATION | BALANCE, VISUAL OBSERVATIONS, SPECTRORADIOMETERS, QUADRATS | 2000-08-24 to 2000-09-04 | N: -14.79 S: -14.79 E: 24.8 W: 24.8 | multiple | |
| SAFARI 2000 Surface Spectral Reflectance at Sua Pan, Botswana, Dry Season 2000 | FIELD INVESTIGATION | SPECTRORADIOMETERS | 2000-08-24 to 2000-09-03 | N: -20.5168 S: -20.5772 E: 26.0803 W: 26.0298 | CSV | |
| SAFARI 2000 Tree Ring Data, Mongu, Zambia, Dry Season 2000 | LABORATORY | MICROSCOPES | 1953-01-01 to 2000-08-31 | N: -15.1944 S: -15.4458 E: 23.3181 W: 23.2639 | CSV | |
| SAFARI 2000 Vegetation Cover Characteristics, Kalahari Transect, Wet Season 2000 | FIELD INVESTIGATION | VISUAL OBSERVATIONS, GPS | 2000-03-03 to 2000-03-14 | N: -18.66 S: -24.127 E: 25.494 W: 21.709 | CSV | |
| SAFARI 2000 Vegetation Structure of Kataba Forest, Zambia, Wet Season 2000 | FIELD INVESTIGATION | VISUAL OBSERVATIONS, DENSIOMETERS | 2000-02-15 to 2000-03-15 | N: -15.4383 S: -15.4383 E: 23.2533 W: 23.2533 | CSV | |
| SAFARI 2000 Woody Vegetation Characteristics of Kalahari and Skukuza Sites | FIELD INVESTIGATION | VISUAL OBSERVATIONS, PAR SENSORS, GPS | 2000-02-29 to 2000-06-25 | N: -15.4389 S: -31.4969 E: 25.4995 W: 21.7096 | CSV | |
| Satellite-Derived Forest Extent Likelihood Map for Mexico | COMPUTERS | Computer | 2010-01-01 to 2020-12-31 | MEXICO | N: 34.51 S: 12.4781 E: -84.295 W: -120.306 | multiple |
| SHIFT: Vegetation Plot Photos, Santa Barbara, CA, USA, 2022 | FIELD SURVEYS | CAMERA | 2022-02-23 to 2022-09-18 | CALIFORNIA | N: 34.7445 S: 34.3979 E: -119.531 W: -120.492 | multiple |
| Spectral Reflectance and Ancillary Data, Tundra Transect, North Slope, AK, 2000-2022 | FIELD SURVEYS | INFRARED THERMOMETERS, SPECTRORADIOMETERS | 2000-06-30 to 2022-08-08 | ALASKA | N: 71.3221 S: 71.322 E: -156.602 W: -156.604 | multiple |
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