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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 Datasets

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Filters
Dataset Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
ASTER Global Emissivity Dataset, 100 meter, HDF5 V003 003 Terra ASTER 2000-01-01 to 2008-12-31

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

100 Meters x 100 Meters HDF5
ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 004 Terra ASTER 2000-03-01 to 2015-12-31

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

5600 Meters x 5600 Meters HDF5
ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 V041 041 Terra ASTER 2000-03-01 to 2015-12-31

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

5600 Meters x 5600 Meters HDF5
ASTER Global Emissivity Dataset, Monthly, 0.05 deg, netCDF4 004 Terra ASTER 2000-03-01 to 2015-12-31

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

5600 Meters x 5600 Meters netCDF-4
ASTER Registered Radiance at the Sensor - Orthorectified V003 003 Terra ASTER 2000-03-06 to 2025-12-15

N: 83 S: -83 E: 180 W: -180

GeoTIFF
ATSDR Hazardous Waste Site Polygon Data, Version 2 2.0 MODELS Computer 2010-05-26

N: 68.36338 S: 13.433567 E: 144.763215 W: -176.631973

Shapefile, WMS, PDF, PNG
ATSDR Hazardous Waste Site Polygon Data with CIESIN Modifications, Version 2 2.00 MODELS Computer 2010-05-26

N: 64.835175 S: 17.958101 E: -65.764755 W: -176.631973

Shapefile, WMS, PDF, PNG
Baseline Wetland Type and Land Cover Map of the Great Lakes Basin, 2010 1 LANDSAT-5, COMPUTERS, ALOS TM, Computer, PALSAR 2007-04-01 to 2011-04-15

N: 52.5534 S: 38.712 E: -71.5681 W: -97.2815

multiple
BigFoot Land Cover Surfaces for North and South American Sites, 2000-2003 1 LANDSAT-7 ETM+ 2000-01-01 to 2003-12-31

N: 71.2719 S: -2.86 E: -54.96 W: -156.613

Shapefile
BOREAS AFM-12 1-km AVHRR Seasonal Land Cover Classification 1 NOAA-11 AVHRR 1992-04-01 to 1992-09-30

N: 57 S: 52 E: -96 W: -108

Binary
BOREAS Follow-On DSP-01 Landsat TM Land Cover Mosaic of the BOREAS Transect 1 LANDSAT-5 TM 1991-08-09 to 1998-08-28

N: 57 S: 52 E: -96 W: -107

multiple
BOREAS Follow-On DSP-01 NBIOME Level-4 AVHRR Land Cover, Canada, Ver. 1.1, 1995 1 NOAA-14 AVHRR 1995-04-11 to 1995-11-01

N: 67 S: 34 E: -9 W: -178

multiple
BOREAS Follow-On DSP-09 Moss Cover Classification at Three Area Scales 1 LANDSAT-5, NOAA-11 TM, AVHRR 1992-04-01 to 1994-12-31

N: 60 S: 48 E: -90 W: -111

BMP
BOREAS Follow-On DSP-10 Reclassified Regridded TM Mosaic Land Cover Maps, 1994 1 LANDSAT-5 TM 1994-01-01 to 1995-01-01

N: 60 S: 48 E: -90 W: -111

BMP
BOREAS Follow-On DSP-10 Regridded Land Cover Maps for 1994 1 NOAA-11 AVHRR 1994-01-01 to 1995-01-01

N: 60 S: 48 E: -90 W: -111

BMP
BOREAS Follow-On DSP-10 Regridded Moss Cover Maps for 1994 1 LANDSAT-5, NOAA-11 TM, AVHRR 1994-01-01 to 1995-01-01

N: 60 S: 48 E: -90 W: -111

BMP
BOREAS Follow-On DSP-10 Regridded TM Mosaic Land Cover Maps for 1994 1 LANDSAT-5 TM 1994-01-01 to 1995-01-01

N: 60 S: 48 E: -90 W: -111

BMP
BOREAS HYD-04 Areal Snow Course Survey Data 1 FIELD INVESTIGATION VISUAL OBSERVATIONS, SNOW TUBE, BALANCE 1994-02-03 to 1994-03-10

N: 56.25 S: 53.42 E: -97.24 W: -106.32

ASCII
BOREAS Landsat TM Level-3a Imagery: Scaled At-Sensor Radiance in BSQ Format 1 LANDSAT-5, LANDSAT-4 TM 1984-06-22 to 1996-07-30

N: 56.25 S: 53.42 E: -97.23 W: -106.23

multiple
BOREAS Landsat TM Level-3b Imagery: At-Sensor Radiance in BSQ Format 1 LANDSAT-5 TM 1984-06-22 to 1996-07-30

N: 56.25 S: 53.42 E: -97.34 W: -106.32

Shapefile
BOREAS Landsat TM Level-3p Imagery: Geocoded and Scaled At-Sensor Radiance 1 LANDSAT-5 TM 1988-08-20 to 1994-07-07

N: 56.25 S: 53.42 E: -97.23 W: -106.32

Binary
BOREAS Landsat TM Level-3s Imagery: Scaled At-Sensor Radiance in LGSOWG Format 1 LANDSAT-5 TM 1984-06-22 to 1996-07-30

N: 56.25 S: 53.42 E: -97.23 W: -106.32

multiple
BOREAS Regional Soils Data in Raster Format and AEAC Projection 1 MAPS DIGITIZER 1991-01-01 to 1991-12-31

N: 59.98 S: 50.09 E: -93.5 W: -111

Binary
BOREAS RSS-15 SIR-C and TM Biomass and Landcover Maps of the NSA and SSA 1 SRL-1, SRL-2 SIR-C 1994-04-13 to 1995-09-02

N: 56.21 S: 53.63 E: -97.75 W: -105.61

Binary
BOREAS SERM Forest Cover Data Layers of the SSA in Vector Format 1 AERIAL PHOTOGRAPHS DIGITIZER 1993-01-01 to 1993-12-31

N: 59.34 S: 50.57 E: -94.08 W: -110.05

Binary
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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
HLS data near Columbus, Nebraska from 2022

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.

Land Use/Land Cover Data Tools

View All Data Tools
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. Analysis, Processing, Search and Discovery, 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. 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
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