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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 Platforms Instruments Temporal Extent Location Keywords Spatial Extent Data Format
Spruce Leaf, Tree Traits, and Respiration at Range Extremes, AK and NY, USA, 2018 FIELD SURVEYS LICOR GAS EXCHANGE SYSTEM 2018-06-06 to 2018-06-23 ALASKA, NEW YORK N: 67.8889 S: 41.4011 E: -74.0246 W: -149.955 CSV
Standing Crop & Nitrogen Content (FIFE) FIELD INVESTIGATION BALANCE, SOIL DEPTH PROBE, COLORIMETERS, INCLINOMETERS 1987-05-28 to 1987-10-12 N: 39.1 S: 39.07 E: -96.53 W: -96.59 multiple
Suomi-NPP VIIRS Level-2 Regional Inherent Optical Properties (IOP) - Near Real-time (NRT) Data, version 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present N: 90 S: -90 E: 180 W: -180 netCDF-4
Suomi-NPP VIIRS Level-2 Regional Inherent Optical Properties (IOP) Data, version 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present N: 90 S: -90 E: 180 W: -180 netCDF-4
Suomi-NPP VIIRS Level-3 Global Binned Inherent Optical Properties (IOP) - Near Real-time (NRT) Data, version 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present GLOBAL OCEAN N: 90 S: -90 E: 180 W: -180 netCDF-4
Suomi-NPP VIIRS Level-3 Global Binned Inherent Optical Properties (IOP) Data, version 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present GLOBAL OCEAN N: 90 S: -90 E: 180 W: -180 netCDF-4
Suomi-NPP VIIRS Level-3 Global Mapped Inherent Optical Properties (IOP) - Near Real-time (NRT) Data, version 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present GLOBAL OCEAN N: 90 S: -90 E: 180 W: -180 netCDF-4
Suomi-NPP VIIRS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present GLOBAL OCEAN N: 90 S: -90 E: 180 W: -180 netCDF-4
Synthesis of Winter In Situ Soil CO2 Flux in pan-Arctic and Boreal Regions, 1989-2017 SATELLITES, FIELD SURVEYS, MERRA-2, ADEOS-II MODIS, CO2 ANALYZERS, TEMPERATURE LOGGERS, THERMOMETERS, IR CO2 ANALYZER, LICOR SOIL GAS CHAMBER, SOIL SAMPLER, Computer, AMSR 1989-09-01 to 2017-04-30 CANADA, ALASKA, ARCTIC N: 78.917 S: 53.876 E: 161.992 W: -163.711 CSV
Terra MODIS Level-2 Regional Inherent Optical Properties (IOP) - Near Real-time (NRT) Data, version 2022.0 Terra MODIS 2000-02-24 to Present N: 90 S: -90 E: 180 W: -180 netCDF-4
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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

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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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