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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
AppEEARS The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. Search and Discovery, Subsetting, Customization, Downloading, Visualization
Biomass Earthdata Dashboard Observe global forest biomass harmonization activity with the Biomass Earthdata Dashboard. Analysis, Search and Discovery, Visualization
CASEI The Catalog of Archived Suborbital Earth Science Investigations (CASEI) is a comprehensive inventory of contextual information for NASA's Earth Science airborne and field campaigns. Search and Discovery, Cataloging
Earthdata Search Earthdata Search enables data discovery, search, comparison, visualization, and access across NASA’s Earth science data holdings. Search and Discovery, Access, Cataloging, Cloud Computing, Downloading
FIRMS The Fire Information for Resource Management System (FIRMS) provides access to satellite imagery, active fire/hotspots, and related products to identify the location, extent, and intensity of wildfire activity. Access, Visualization
Giovanni Giovanni is a web application for accessing, visualizing, and analyzing Earth science remote sensing data without downloading the data. Search and Discovery, Analysis, Access, Visualization, Downloading, Subsetting
OpenAltimetry OpenAltimetry is a map-based visualization tool for exploring surface elevation data across Earth over time. Analysis, Search and Discovery, Visualization
Panoply Panoply is a cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. Visualization, Customization, Reformatting, Subsetting, Comparison
POPGRID Viewer POPGRID Viewer explores the intercomparison of population counts and settlement mapping from leading global data sources. Comparison
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
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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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