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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
CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008 SATELLITES LIDAR 2004-10-03 to 2004-11-08 N: 69.2936 S: -55.4513 E: 179.893 W: -161.413 CSV
CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) MODELS Computer 2001-01-01 to 2015-12-31 N: 90 S: -90 E: 180 W: -180 multiple
CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3) COMPUTERS Computer 2001-01-01 to 2022-08-31 GLOBAL N: 90 S: -90 E: 180 W: -180 netCDF-3
CMS: Global Mangrove Canopy Height Maps Derived from TanDEM-X, 2015 COMPUTERS Computer 2015-01-01 to 2022-05-22 GLOBAL LAND N: 34.1 S: -39.1 E: 180 W: -180 multiple
CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095 MODELS Computer 2005-01-01 to 2095-12-31 N: 49.35 S: 25.25 E: -67.09 W: -124.69 netCDF-4 classic
CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA, 2013 CESSNA SINGLE-ENGINE AIRCRAFT, FIELD SURVEYS BACKSCATTER LIDAR, STEEL MEASURING TAPE 2013-09-01 to 2013-09-01 CALIFORNIA N: 38.8548 S: 38.1067 E: -122.34 W: -123.539 GeoTIFF
CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 Airplane LIDAR 2012-07-27 to 2014-12-27 N: -2.55319 S: -3.76718 E: -46.7931 W: -48.4958 multiple
CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014 Airplane AIRBORNE LASER SCANNER 2014-05-05 to 2014-05-05 N: -18.7928 S: -18.893 E: 36.2918 W: 36.1495 multiple
CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 Airplane LIDAR 2011-01-01 to 2011-12-31 N: 39.95 S: 37.69 E: -74.82 W: -79.71 GeoTIFF
CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 Airplane, COMPUTERS, MODELS LIDAR, Computer 2013-09-01 to 2013-12-31 N: 38.8642 S: 38.1017 E: -122.339 W: -123.542 GeoTIFF
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