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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 Data Tools

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Tool Description Services
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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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 Datasets

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Dataset Platforms Instruments Temporal Extent Location Keywords Spatial Extent Data Format
ABoVE: Historical Lake Shorelines and Areas near Fairbanks, Alaska from 1949-2009 SPOT-1, AERIAL PHOTOGRAPHS HRVIR, CAMERA 1949-01-01 to 2009-12-31 ALASKA N: 64.96 S: 64.8282 E: -147.66 W: -147.98 Shapefile
ABoVE: Ignitions, Burned Area, and Emissions of Fires in AK, YT, and NWT, 2001-2018 Aqua, MODELS MODIS, Computer 2001-01-01 to 2018-12-31 YUKON TERRITORY, NORTHWEST TERRITORIES, ALASKA 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 PlanetScope PlanetScope 2019-05-19 to 2021-09-28 ALASKA 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 FIELD SURVEYS, UAV CAMERA, UAVSAR 2017-01-01 to 2019-09-19 NORTHWEST TERRITORIES, ALBERTA, ALASKA N: 67.909 S: 53.707 E: -107.864 W: -149.165 multiple
ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016 LANDSAT-5, LANDSAT-7, LANDSAT-8 TM, ETM+, OLI 1985-07-01 to 2016-08-31 ARCTIC N: 90 S: 31.49 E: 180 W: -180 multiple
ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 LANDSAT-5, LANDSAT-7, LANDSAT-8 TM, ETM+, OLI, TIRS 1985-01-01 to 2019-12-31 POLAR N: 72 S: 45 E: 180 W: -180 multiple
ABoVE: Landsat-derived Annual Disturbance Agents Across ABoVE Core Domain, 1987-2012 LANDSAT, LANDSAT-5 ETM+, TM 1985-01-01 to 2012-12-31 ALASKA, CANADA N: 75.6853 S: 50.259 E: -98.974 W: -169.96 multiple
ABoVE: Landsat-derived Annual Dominant Land Cover Across ABoVE Core Domain, 1984-2014 MODELS, LANDSAT-5, LANDSAT-7 Computer, TM, ETM+ 1984-01-01 to 2014-12-31 CANADA, ALASKA N: 76.2257 S: 50.259 E: -98.974 W: -170.006 multiple
ABoVE: Landsat-derived Annual Dominant Land Cover in Boreal North America, 1986-2020 COMPUTERS, LANDSAT-5, LANDSAT-7, LANDSAT-8 Computer, TM, ETM+, OLI 1986-01-01 to 2020-12-31 ALASKA, CANADA N: 71.0677 S: 41.2276 E: -50.1766 W: -166.685 COG
ABoVE: Landsat-derived Burn Scar dNBR across Alaska and Canada, 1985-2015 LANDSAT-8, LANDSAT-5, LANDSAT-7 OLI, TM, ETM+ 1985-01-01 to 2015-12-31 N: 71.3558 S: 50.2542 E: -101.736 W: -168.424 multiple
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