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Biosphere Data Access and Tools

NASA biosphere data range from surface reflectance data useful for measuring the greenness of vegetation to measurements of nighttime lights that disrupt the behaviors of wildlife. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.

Biosphere Datasets

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Dataset Version Platforms Instruments Temporal Extent Spatial Extent Spatial Resolution Data Format
ABoVE: Gridded 30-m Aboveground Biomass, Shrub Dominance, North Slope, AK, 2007-2016 1 LANDSAT-5, MODELS, FIELD SURVEYS, LANDSAT-7 TM, Computer, STEEL MEASURING TAPE, ETM+ 2007-06-01 to 2016-08-31

N: 76.226 S: 64.7265 E: -111.551 W: -168.576

multiple
ABoVE: Historical Lake Shorelines and Areas near Fairbanks, Alaska from 1949-2009 1 SPOT-1, AERIAL PHOTOGRAPHS HRVIR, CAMERA 1949-01-01 to 2009-12-31

N: 64.96 S: 64.8282 E: -147.66 W: -147.98

Shapefile
ABoVE: Ice Fraction of Small Water Bodies in the Arctic Coastal Plain, 2017-2023 1 Sentinel-1B, Sentinel-1A, Sentinel-2A, Sentinel-2B SENTINEL-1 C-SAR, Sentinel-2 MSI 2017-01-05 to 2023-12-28

N: 71.356 S: 68.8998 E: -140.188 W: -164.431

COG
ABoVE: Ignitions, Burned Area, and Emissions of Fires in AK, YT, and NWT, 2001-2018 2 Aqua, MODELS MODIS, Computer 2001-01-01 to 2018-12-31

N: 79.2618 S: 51.6346 E: -99.9838 W: -167

multiple
ABoVE: Lake and Pond Extents in Alaskan Boreal and Tundra Subregions, 2019-2021 1 PlanetScope PlanetScope 2019-05-19 to 2021-09-28

N: 67.2081 S: 60.7642 E: -143.836 W: -164.402

Shapefile
ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019 1 FIELD SURVEYS, UAV CAMERA, UAVSAR 2017-01-01 to 2019-09-19

N: 67.909 S: 53.707 E: -107.864 W: -149.165

multiple
ABoVE: Lakes and Ponds Weekly Occurrence, 2016 - 2023 1 Sentinel-2A Sentinel-2 MSI 2016-05-06 to 2023-10-14

N: 71.3907 S: 59.4374 E: -128.725 W: -166.194

multiple
ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016 1 LANDSAT-5, LANDSAT-7, LANDSAT-8 TM, ETM+, OLI 1985-07-01 to 2016-08-31

N: 90 S: 31.49 E: 180 W: -180

multiple
ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 1 LANDSAT-5, LANDSAT-7, LANDSAT-8 TM, ETM+, OLI, TIRS 1985-01-01 to 2019-12-31

N: 72 S: 45 E: 180 W: -180

multiple
ABoVE: Landsat-derived Annual Aboveground Biomass Density and Uncertainty, 1984-2022 1 LANDSAT-9, LANDSAT-8, LANDSAT-7, LANDSAT-5, LANDSAT-4 OLI, ETM+, TM 1984-01-01 to 2022-12-31

N: 82.3001 S: 41.9212 E: -52.6617 W: -171.845

COG
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VIIRS
Vegetation indices measure the amount of green vegetation over a given area and can be used to assess vegetation health. A commonly-used vegetation index is the Normalized Difference Vegetation Index (NDVI), which uses the difference between near-infrared (NIR) and red reflectance divided by their sum. NDVI values range from -1 to 1. Low values of NDVI generally correspond to barren areas of rock, sand, exposed soils, or snow, while higher NDVI values indicate greener vegetation, including forests, croplands, and wetlands.
VIIRS Vegetation Indices on Earthdata Search

Biosphere Data Tools

View All Data Tools
Tool Description Services
STREAM STREAM is a rapid water quality monitoring tool that processes satellite imagery to create maps showing chlorophyll-a, Total Suspended Solids, and water clarity at 20-30 meter resolution. Processing
TESViS The Terrestrial Ecology Subsetting & Visualization Services Global Subsets Tool provides on-demand, customized subsets of several terrestrial ecology data products. Visualization, Subsetting
VEDA NASA's Visualization, Exploration, and Data Analysis (VEDA) project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and geographic information systems (GIS) capabilities. Access, Analysis, Processing, Visualization, Geoprocessing
Vertex Vertex is a graphical search interface for finding synthetic aperture radar (SAR) data. Search and Discovery, Access, Downloading, Processing, Subsetting
Worldview Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events
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