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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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Dataset Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
LBA-ECO LC-14 Modeled Deforestation Scenarios, Amazon Basin: 2002-2050 1 NOT APPLICABLE NOT APPLICABLE 2002-01-01 to 2050-12-31

N: 12.98 S: -55.77 E: -34.29 W: -81.86

multiple
LBA-ECO LC-15 JERS-1 Synthetic Aperture Radar, 1- km Mosaic, Amazon Basin: 1995-1996 1 JERS-1 SAR 1995-08-01 to 1996-06-30

N: 13.8583 S: -23.4268 E: -47.0231 W: -82.7208

Shapefile
LBA-ECO LC-15 Vegetation Cover Types from MODIS, 1-km, Amazon Basin: 2000-2001 1 Terra MODIS 2000-10-31 to 2001-12-09

N: 13.6944 S: -21.1273 E: -34.2214 W: -82.7208

Shapefile
LBA-ECO LC-21 Brazilian Amazon Fractional Land Cover Images: 1999-2002 1 LANDSAT ETM+ 1999-01-01 to 2003-07-04

N: 5.2722 S: -14 E: -41.7955 W: -73.9906

Shapefile
LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2003-2004 1 FIELD INVESTIGATION VISUAL OBSERVATIONS 2004-07-14 to 2004-07-21

N: -10.96 S: -15.65 E: -54 W: -58.25

multiple
LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2005 1 FIELD INVESTIGATION, Terra VISUAL OBSERVATIONS, GPS, MODIS 2005-03-17 to 2005-03-24

N: -11.5 S: -13.1334 E: -54.2833 W: -55.75

multiple
LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil 1 Terra MODIS 2000-09-01 to 2004-12-31

N: -6.87 S: -20 E: -52.32 W: -60.44

GeoTIFF
LBA-ECO LC-22 Vegetation Cover Types from MODIS, 500-m, South America: 2000-2001 1 LABORATORY, Terra MODIS 2000-11-01 to 2001-11-30

N: 16 S: -63 E: -34 W: -82

GeoTIFF
LBA-ECO LC-24 Forest Cover Map from MODIS, 500-m, South America: 2001 2 Terra MODIS 2001-01-01 to 2001-12-31

N: 13.6922 S: -56.4548 E: -34.2236 W: -86.3842

GeoTIFF
LBA-ECO LC-24 Land Cover Classes from Landsat TM, Uruara, Para: 1986-1991 1 LANDSAT-5, FIELD INVESTIGATION TM, VISUAL OBSERVATIONS 1986-01-01 to 1999-12-31

N: -1.8 S: -5.3 E: -51.7 W: -55.6

multiple
LBA-ECO LC-24 Landsat TM and ETM+ Land Cover, Southern Para, Brazil: 1984-2003 1 LANDSAT-7, FIELD INVESTIGATION, LANDSAT-5 TM, ETM+, VISUAL OBSERVATIONS 1984-08-03 to 2003-08-03

N: -4.7908 S: -34.8707 E: -19.8435 W: -49.9385

multiple
LBA-ECO LC-31 Historical Land-Use in the Amazon: 1940-1995 1 SATELLITES, SPOT-4 MODIS, AVHRR, MULTI-SPECTRAL 1940-01-01 to 1995-12-31

N: 5.41 S: -19.56 E: -45.59 W: -74.35

netCDF-3
LBA-ECO ND-01 Fractional Land Cover Images, Rondonia, Brazil: 1984-2000 1 LANDSAT-5 TM 1984-06-24 to 2000-06-28

N: -7.8275 S: -12.4968 E: -59.8567 W: -64.6406

Shapefile
LBA-ECO ND-01 Land Cover Classification, Rondonia, Brazil: 1975-2000 1 LANDSAT-2, LANDSAT-5 MSS, TM 1975-06-19 to 2000-06-28

N: -9.1808 S: -12.4311 E: -61.1817 W: -64.6406

GeoTIFF
LBA-ECO ND-01 Landsat 28.5-m Land Cover Time Series, Rondonia, Brazil: 1984-2010 1 LANDSAT-5 MSS, TM 1984-06-24 to 2010-07-29

N: -7.8272 S: -13.862 E: -58.7954 W: -64.595

Shapefile
LBA-ECO ND-01 Primary Forests Land Cover Transition Maps, Rondonia, Brazil: 1975-1999 1 LANDSAT-5 TM, MSS 1975-06-19 to 1999-10-16

N: -9.1808 S: -12.4311 E: -61.1817 W: -64.6406

GeoTIFF
LBA-ECO ND-02 Cation Leaching from Forest and Pasture Soils, Para, Brazil 1 LABORATORY, FIELD INVESTIGATION AAS, VISUAL OBSERVATIONS 2002-01-01 to 2002-10-31

N: -2.983 S: -2.983 E: -47.516 W: -47.516

CSV
LBA-ECO ND-02 Landsat Imagery, Para, Brazil: 1984, 1994, and 1999 1 LANDSAT TM 1984-07-24 to 1999-07-13

N: -1.0031 S: -1.3803 E: -47.5564 W: -47.8919

GeoTIFF
LBA-ECO ND-30 Fractional Cover of Mixed Land Use Ranches, Para and Rondonia, Brazil 1 LANDSAT-5, LANDSAT-7 TM, ETM+ 1996-07-05 to 2002-05-26

N: -1.9907 S: -11.0355 E: -45.6918 W: -63.1374

GeoTIFF
Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada 1 LANDSAT-7, FIELD INVESTIGATION, LANDSAT-5 ETM+, CAMERA, TM 2000-01-01 to 2001-12-31

N: 63.1444 S: 44.2284 E: -65.0035 W: -135.05

GeoTIFF
Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada 1 FIELD INVESTIGATION, LANDSAT-5, LANDSAT-7, SPOT-4 CAMERA, TM, ETM+, HRVIR 2003-05-08 to 2003-08-19

N: 45.394 S: 45.3671 E: -75.1979 W: -75.2364

multiple
LUH1: Harmonized Global Land Use for Years 1500-2100, V1 1 MODELS Computer 1500-01-01 to 2100-01-01

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

netCDF-4
LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019 1 MODELS Computer 0850-01-01 to 2019-12-31

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

netCDF-4
LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100 1 MODELS Computer 2015-01-01 to 2100-01-01

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

netCDF-4 classic
Lund-Potsdam-Jena Wetland Hydrology and Methane DGV Model (LPJ-WHyMe v1.3.1) 1 NOT APPLICABLE NOT APPLICABLE 1972-01-01 to 2010-10-15

N: 90 S: -60 E: 180 W: -180

multiple
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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

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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. 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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