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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	Data Format
Urban Biogenic CO2 fluxes: GPP, Reco and NEE Estimates from SMUrF, 2010-2019	1	MODELS, SATELLITES	Computer, MODIS	2010-01-01 to 2019-12-31	N: 60 S: -40 E: 155 W: -125	netCDF-4 classic
Urban Land Cover Maps for Mekelle, Ethiopia and Polokwane, South Africa, 2020	1	PlanetScope, WORLDVIEW-3	PSB.SD, WV110	2020-01-01 to 2020-12-31	N: 13.5692 S: -23.9404 E: 39.5708 W: 29.3151	multiple
Urban Landsat: Cities from Space	1.00	LANDSAT-5, LANDSAT-7	TM, ETM+	1999-01-01 to 2003-12-31	N: 90 S: -55 E: 180 W: -180	PDF, PNG
U.S. EPA National Priorities List (NPL) Sites Point Data with CIESIN Modifications, Version 2	2.0	MODELS	Computer	2014-02-27	N: 64.823 S: -14.3601 E: 151.78372 W: -176.6525	Excel, PNG, PDF, WMS
VEMAP 2: Annual Ecosystem Model Responses to U.S. Climate Change, 1994-2100	1	NOT APPLICABLE	NOT APPLICABLE	1994-01-01 to 2100-12-31	N: 50 S: 26 E: -66 W: -124	netCDF-3
VEMAP 2: Monthly Ecosystem Model Responses to U.S. Climate Change, 1994-2100	1	NOT APPLICABLE	NOT APPLICABLE	1994-01-01 to 2100-12-31	N: 50 S: 26 E: -66 W: -124	netCDF-3
Yale Center for Earth Observation (YCEO) Surface Urban Heat Islands, Version 4, 2003-2018	4.00	MODELS	Computer	2003-01-01 to 2018-12-31	N: 90 S: -90 E: 180 W: -180	GeoTIFF, Shapefile

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

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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