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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
LBA-ECO TG-08 Soil Gas Flux after Forest and Pasture Fertilization, Rondonia, Brazil 1 FIELD INVESTIGATION SPECTROPHOTOMETERS, CHEMILUMINESCENCE, AUTOANALYZER, BALANCE, GAS CHROMATOGRAPHS, IRGA 1998-02-18 to 1999-03-10

N: -10.156 S: -10.156 E: -62.811 W: -62.811

CSV
SnowEx20-21 QSI Lidar Vegetation Height 3m UTM Grid V001 1 King Air LIDAR 2020-02-01 to 2020-02-20, 2021-03-15 to 2021-03-20

N: 44.3658 S: 43.0343 E: -114.8547 W: -117.0661

,

N: 40.6041 S: 40.5161 E: -111.5989 W: -111.7319

,

N: 40.5841 S: 38.9681 E: -105.7432 W: -108.3384

3 Meters x 3 Meters TIFF
Pre-LBA CABARE Mapped Land Surface and Vegetation Characteristics, Rondonia, Brazil 1 MAPS, LANDSAT DIGITIZER, TM 1978-01-01 to 1994-12-31

N: -8 S: -13 E: -60 W: -65

Text File
Timeseries of Arctic-Boreal Lake Area Derived from CubeSat Imagery, 2017 1 SATELLITES CAMERA 2017-05-01 to 2017-10-01

N: 70.3105 S: 52.8149 E: -89.8193 W: -149.699

multiple
SNF Site Characterization Data: C.Jarvis 1 FIELD INVESTIGATION VISUAL OBSERVATIONS 1984-05-10 to 1984-06-12

N: 48.1697 S: 47.6575 E: -91.7658 W: -92.5058

ASCII
CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005 1 MODELS Computer 2005-01-01 to 2005-12-31

N: 52 S: 21 E: -65 W: -129

netCDF-4
Delta-X: NUMAR Soil Accretion Modeled to 2100, MRD, Louisiana, USA 1 COMPUTERS Computer 2021-01-01 to 2100-12-31

N: 29.7003 S: 29.0794 E: -90.4117 W: -91.54

multiple
SAFARI 2000 Wetlands Data Set, 1-Deg (Matthews and Fung) 1 NOT APPLICABLE NOT APPLICABLE 1971-01-01 to 1982-01-01

N: 5 S: -35 E: 60 W: 5

multiple
Gridded GEDI Vegetation Structure Metrics and Biomass Density at Multiple Resolutions 1 ISS GEDI 2019-04-17 to 2023-03-16

N: 52.2 S: -52.2 E: 180 W: -180

COG
BOREAS TF-05 Tower Flux & Meteorological Data 1 FIXED OBSERVATION STATIONS SOIL HEAT FLUX TRANSDUCER, WIND MONITOR, LICOR QUANTUM SENSOR, THERMOCOUPLES, HUMIDITY SENSORS, OZONE SENSOR, IR CO2 ANALYZER, NET RADIOMETERS, EDDY CORRELATION DEVICES 1994-05-23 to 1994-09-16

N: 53.92 S: 53.92 E: -104.69 W: -104.69

ASCII
SHOWING 10 OF 1509
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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