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Land Use/Land Cover Data Access and Tools

NASA data range from global assessments of snow cover albedo to food insecurity cropland extent measurements. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.

Commonly Used Land Cover/Crop Extent Data at a Glance

Spatial ResolutionSpatial CoverageTemporal ResolutionTemporal CoverageSpectral ResolutionSatellite/
Platform		Sensor(s)/ Model NameObservation or ModelFile Format
500 mGlobal1-2 days2001-202136 bands ranging from 0.4 µm to 14.4 µmTerra and AquaMODISObservationHDF-EOS
30 m, 90 m, 1 kmRegional datasetsMulti-year2007-2016
(varies)		VariesDerived from Landsat dataGFSADObservationGeoTIFF
30 mGlobalYearly2001-2019VariesDerived from Landsat dataGLanCEObservationGeoTIFF

Land Use/Land Cover Data Tools

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Tool Description Services
RTC Stack Processor The radiometric terrain correction (RTC) stack processor tool facilitates time-series analysis of such phenomena as flooding events, deforestation, or glacier retreat.
Data Analysis, Discovery, and Visualization
Synthetic Aperture Radar (SAR)
SDAT The Spatial Data Access Tool (SDAT) is an Open Geospatial Consortium (OGC) standards-based web application to visualize and download spatial data in various user-selected spatial/temporal extents, file formats, and projections.
Data Analysis, Discovery, and Visualization
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.
Vertex Vertex is a graphical search interface for finding synthetic aperture radar (SAR) data.
Synthetic Aperture Radar (SAR)
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Featured Land Use/Land Cover Observation Method: Sentinel-1
Sentinel-1 is a European Space Agency (ESA) satellites designed to acquire Earth-observation measurements and carries a C-band synthetic aperture radar (SAR) to provide all-weather, day-and-night imagery of Earth's surface. The platform was launched on April 3, 2014, and images Earth every six days. Sentinel-1 SAR data can reveal the surface roughness of the land, oil and vegetation moisture content, and vegetation density. The dadar data can also be used to determine water surface conditions such as waviness and identify water inundation into inland areas and beneath forest canopies.
Learn More About Sentinel-1
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HLS: Two Together Better than Two Apart

The purpose of the Harmonized Landsat Sentinel-2 (HLS) project led by IMPACT, is to combine two or more data streams into a single data set and increase their value.

Frequently Asked Questions

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