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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
Global-Gridded Daily Methane Emissions Climatology from Lake Systems, 2003-2015 1 MERRA-2, LANDSAT Computer 2012-01-01 to 2012-12-31

N: 90 S: -90 E: 180 W: -180

netCDF-4 classic
Land Use and Cover Maps from Landsat, Mawas, Central Kalimantan, Indonesia, 1994-2019 1 LANDSAT-8, MODELS, LANDSAT-5 OLI, Computer, TM 1994-01-01 to 2019-12-31

N: -2.16208 S: -2.56094 E: 114.648 W: 114.356

GeoTIFF
AfriSAR: Aboveground Biomass for Lope, Mabounie, Mondah, and Rabi Sites, Gabon 1 FIELD SURVEYS, Airplane, B-200 STEEL MEASURING TAPE, LIDAR, LVIS 2016-02-01 to 2016-03-31

N: 0.611119 S: -1.94602 E: 11.6436 W: 9.30308

COG
BOREAS Forest Cover Data Layers Over the SSA-MSA in Raster Format 1 AERIAL PHOTOGRAPHS DIGITIZER 1993-01-01 to 1993-12-31

N: 54.1 S: 53.75 E: -104.49 W: -105.19

Binary
BOREAS TE-22 Allometric Forest Survey Data 1 FIELD INVESTIGATION VISUAL OBSERVATIONS, STEEL MEASURING TAPE 1994-01-01 to 1994-12-31

N: 55.93 S: 53.73 E: -97.34 W: -105.47

ASCII
Conifer Needle Chlorophyll Fluorescence, Niwot Ridge, Colorado, USA, 2017-2018 1 FIELD SURVEYS PAM 2017-07-10 to 2018-06-11

N: 40.03 S: 40.03 E: -105.55 W: -105.55

CSV
Global 500-m Foliage Clumping Index Data Derived from MODIS BRDF, 2006 1 Terra, Aqua MODIS 2006-01-01 to 2006-12-31

N: 90 S: -90 E: 180 W: -180

GeoTIFF
LBA-ECO CD-02 Leaf Level Gas Exchange, Chemistry, and Isotopes, Amazonia, Brazil 1 FIELD INVESTIGATION, LABORATORY PHOTOSYNTHESIS CHAMBER, CARBON ANALYZERS, MASS SPECTROMETERS 1999-10-28 to 2003-12-17

N: 2 S: -3.0202 E: 54.5792 W: -60.1152

CSV
LBA-ECO ND-11 Regeneration in Undisturbed and Logged Forests, NW Mato Grosso, Brazil 1 NOT APPLICABLE NOT APPLICABLE 2003-09-23 to 2004-01-21

N: -10.4249 S: -10.4249 E: -58.7597 W: -58.7597

CSV
ABoVE: Annual Aboveground Biomass for Boreal Forests of ABoVE Core Domain, 1984-2014 1 LANDSAT-5, LANDSAT-7, MODELS, ICESat TM, ETM+, Computer, GLAS 1984-01-01 to 2014-12-31

N: 69.7323 S: 51.7769 E: -101.736 W: -165.41

GeoTIFF
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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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