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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 Resolution	Spatial Coverage	Temporal Resolution	Temporal Coverage	Spectral Resolution	Satellite/ Platform	Sensor(s)/ Model Name	Observation or Model	File Format
500 m	Global	1-2 days	2001-2021	36 bands ranging from 0.4 µm to 14.4 µm	Terra and Aqua	MODIS	Observation	HDF-EOS
30 m, 90 m, 1 km	Regional datasets	Multi-year	2007-2016 (varies)	Varies	Derived from Landsat data	GFSAD	Observation	GeoTIFF
30 m	Global	Yearly	2001-2019	Varies	Derived from Landsat data	GLanCE	Observation	GeoTIFF

Land Use/Land Cover Datasets

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Filters

Dataset Sort descending	Version	Platform	Instrument	Temporal Extent	Spatial Extent	Spatial Resolution	Data Format
Maps of Vegetation, NDVI, Snow and Thaw Depths: North Slope, Alaska and NWT, Canada	1	FIELD SURVEYS, FIELD INVESTIGATION	VISUAL OBSERVATIONS, SPECTROMETERS, SNOW MEASURING ROD	2000-08-01 to 2012-12-31	N: 78.7857 S: 68.3617 E: -103.552 W: -148.852		multiple
Mechanistic Module for Soil Nitrogen Emissions for CMAQ Model, North America, 2011	1	MODELS	Computer	2011-04-21 to 2011-04-21	N: 51.5525 S: 25.0697 E: -59.1328 W: -128.742		netCDF-3
METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	METOP-B	AVHRR	2013-01-16 to Present	N: 90 S: -90 E: 180 W: -180	0.05 Decimal Degrees x 0.05 Decimal Degrees	HDF-EOS
Millennium Ecosystem Assessment: MA Biodiversity	1.0	MODELS	Computer	1950-01-01 to 2001-12-31	N: 90 S: -90 E: 180 W: -180		Excel, Shapefile, Grid
Millennium Ecosystem Assessment: MA Climate and Land Cover	1.0	MODELS	Computer	1901-01-01 to 2000-12-31	N: 90 S: -90 E: 180 W: -180		Grid, Shapefile
Millennium Ecosystem Assessment: MA Rapid Land Cover Change	1.0	MODELS	Computer	1901-01-01 to 2015-12-31	N: 90 S: -90 E: 180 W: -180		Grid, Shapefile
MISR L2 FIRSTLOOK Land Surface Product subset for the ARCTAS region V001	001	Terra	MISR	2008-04-02 to 2008-07-24	N: 71 S: 54 E: -110 W: -157		HDF4
MISR L2 Geometric Parameters subset for the C-MARE Region V002	002	Terra	MISR	2004-09-20 to 2014-10-23	N: 90 S: -90 E: 180 W: -180		HDF4
MISR L2 Land Surface Product subset for the C-MARE Region V002	002	Terra	MISR	2004-09-20 to 2004-10-23	N: 90 S: -90 E: 180 W: -180		HDF4
MISR L2 Land Surface Product subset for the INTEX-B region V002	002	Terra	MISR	2006-02-28 to 2006-04-03	N: 90 S: -90 E: 180 W: -180		HDF4
MISR L2 Surface Product subset for the SAMUM region V002	002	Terra	MISR	2006-05-12 to 2006-06-15	N: 90 S: -90 E: 180 W: -180		HDF4
MISR Level 2 FIRSTLOOK Surface parameters V002	002	Terra	MISR	1999-12-18 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
MISR Level 2 Land Surface parameters subset for the UAE region V002	002	Terra	MISR	2004-07-01 to 2006-09-30	N: 90 S: -90 E: 180 W: -180		HDF-EOS2
MISR Level 2 Land Surface Product subset for the GoMACCS region V002	002	Terra	MISR	2006-07-30 to 2006-10-16	N: 90 S: -90 E: 180 W: -180		HDF-EOS2
MISR Level 2 Land Surface Product subset for the VBBE region V002	002	Terra	MISR	2007-08-01 to 2007-11-30	N: 90 S: -90 E: 180 W: -180		HDF-EOS2
MISR Level 2 Surface parameters V002	002	Terra	MISR	1999-12-18 to Present	N: 90 S: -90 E: 180 W: -180		HDF-EOS2
MISR Level 2 Surface parameters V003	003	Terra	MISR	2000-03-01 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
MISR Level 3 Component Global Land Product covering a year V004	004	Terra	MISR	1999-12-01 to 2016-11-30	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS2
MISR Level 3 Component Global Land Regional public Product covering a day V002	002	Terra	MISR	2002-03-29 to 2007-08-30	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS2
MISR Level 3 Component Global Land Regional public Product covering a month V002	002	Terra	MISR	2002-03-01 to 2007-09-30	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS2
MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002	002	Terra	MISR	1999-12-18 to Present	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	netCDF-4
MODIS-derived Annual Vegetation Resilience, 2000-2019	1	MODELS, Terra	Computer, MODIS	2000-01-01 to 2019-12-31	N: 76.2257 S: 50.259 E: -98.9735 W: -170.006		COG
MODIS-derived Biophysical Parameters for 5-km Land Cover, North America, 2000-2012	1	NOT APPLICABLE	NOT APPLICABLE	2000-01-01 to 2012-12-31	N: 60 S: 20 E: -40 W: -160		netCDF-4 classic
MODIS-derived Vegetation and Albedo Parameters for Agroecosystem-Climate Modeling	1	COMPUTERS, Aqua, Terra	Computer, MODIS	2003-01-01 to 2010-12-31	N: 49.1525 S: 15.1525 E: -51.9489 W: -139.051		netCDF-4 classic
MODIS/Terra EVI Phenology annual L4 250m SIN Grid	6	Terra	MODIS	2001-01-01 to 2017-01-01	N: 90 S: -90 E: 180 W: -180	500 Meters x 500 Meters	HDF-EOS

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.

Earthdata graphic identifier on top of image of Earth

Sentinel-1 Images Reveal Changes in the Earth’s Surface Over One Year

NASA's ASF DAAC released the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Dataset.

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.

Automatically Generate a Radiometrically Terrain-Corrected Sentinel-1 Image Using Cloud Computing

Learn how to use the CloudFormation Template to automate the processing of Sentinel-1 radiometrically terrain-corrected (RTC) products.

The rectangular image is a map of the St. Simons Island area of coastal Georgia. Land is colored white, roadways are black, inundated vegetation area are green, and water is colored blue. The Atlantic Ocean is in the lower-right of the image and its blue shaded area extends into waterways along the coast.

New Product Provides Detailed Maps of Water In and Around Landmasses

Sentinel-1 synthetic aperture radar (SAR) data are used to create maps of surface water extent for research, planning, and disaster response.

Land Use/Land Cover Data Tools

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Items

Tool Sort descending	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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Items

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