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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: Landsat-derived Annual Disturbance Agents Across ABoVE Core Domain, 1987-2012 1 LANDSAT, LANDSAT-5 ETM+, TM 1985-01-01 to 2012-12-31

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 1 MODELS, LANDSAT-5, LANDSAT-7 Computer, TM, ETM+ 1984-01-01 to 2014-12-31

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 1 COMPUTERS, LANDSAT-5, LANDSAT-7, LANDSAT-8 Computer, TM, ETM+, OLI 1986-01-01 to 2020-12-31

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 1 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
ABoVE: Lichen Forage Cover over Fortymile Caribou Range, Alaska and Yukon, 2000-2015 1 MODELS, UAV Computer, CAMERA 2000-01-01 to 2017-08-01

N: 70.0906 S: 58.6124 E: -128.256 W: -153.858

multiple
ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data 1 Terra, MODELS, METEOROLOGICAL STATIONS, Aqua MODIS, Computer, MMS 2000-01-01 to 2018-01-01

N: 79.7489 S: 50.0604 E: -73.6407 W: -172.078

HDF4
ABoVE: LVIS L3 Gridded Vegetation Structure across North America, 2017 and 2019 1 G-V LVIS 2017-06-29 to 2019-08-08

N: 78.1366 S: 7.126 E: -28.8244 W: -167.324

multiple
ABoVE: Methane Flux across Two Thermokarst Lake Ecosystems, Interior Alaska, 2018 1 FIELD SURVEYS GAS SENSORS, CO2 ANALYZERS, GPS, SPECTROMETERS 2018-07-17 to 2018-07-29

N: 64.9207 S: 64.9151 E: -147.819 W: -147.85

CSV
ABoVE: Modeled Top Cover by Plant Functional Type over Alaska and Yukon, 1985-2020 1.1 COMPUTERS Computer 1985-01-01 to 2020-12-31

N: 75.91 S: 51 E: -122.5 W: -176.1

multiple
ABoVE: MODIS- and CCAN-Derived NDVI and Trends, North Slope of Alaska, 2000-2015 1 MODELS, Terra Computer, MODIS 2000-01-01 to 2015-12-31

N: 71.376 S: 66.988 E: -140.98 W: -166.85

CSV
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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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