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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
LiDAR and PALSAR-Derived Forest Aboveground Biomass, Paragominas, Para, Brazil, 2012 Airplane, ALOS LIDAR, PALSAR 2012-01-01 to 2013-12-31 BRAZIL N: -1.99755 S: -4.00605 E: -45.9981 W: -49.0036 GeoTIFF
LiDAR Data, DEM, and Maximum Vegetation Height Product from Southern Idaho, 2014 Airplane LIDAR 2014-08-23 to 2014-08-31 N: 43.3257 S: 42.2848 E: -114.678 W: -116.889 multiple
LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2 MODELS, Airplane Computer, LIDAR 2004-01-01 to 2014-12-31 N: 42.7117 S: 37.7964 E: -74.0169 W: -81.2257 GeoTIFF
LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015 Airplane, MODELS LIDAR, Computer 2010-01-01 to 2015-12-31 CONNECTICUT, MAINE, MASSACHUSETTS, VERMONT, NEW HAMPSHIRE N: 46.7643 S: 39.9626 E: -66.3606 W: -74.7965 GeoTIFF
LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016 MODELS, FIELD SURVEYS Computer, STEEL MEASURING TAPE 2002-01-01 to 2016-12-31 IDAHO, OREGON, MONTANA, WASHINGTON N: 49.353 S: 41.6644 E: -112.275 W: -125.581 multiple
LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 AIRCRAFT LIDAR 2008-01-01 to 2018-12-31 BRAZIL N: -1.57947 S: -26.6965 E: -39.058 W: -68.2989 multiple
LiDAR-based Biomass Estimates, Boreal Forest Biome, Eurasia, 2005-2006 SATELLITES LIDAR 2005-06-08 to 2006-06-26 N: 70 S: 45 E: 172 W: 4 multiple
LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014 Airplane LIDAR 2005-01-01 to 2014-12-31 N: 41.9828 S: 34.0508 E: -117.739 W: -123.746 multiple
LiDAR-derived Vegetation Canopy Structure, Great Smoky Mountains National Park, 2011 Airplane, MODELS AIRBORNE LASER SCANNER, Computer 2011-02-01 to 2011-04-30 N: 35.866 S: 35.376 E: -82.96 W: -84.051 GeoTIFF
LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model METEOROLOGICAL STATIONS THERMOMETERS, RAIN GAUGES 1973-01-01 to 2008-12-31 N: 90 S: -90 E: 180 W: -180 multiple
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