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 Data Tools

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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
Worldview	Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data.	Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events

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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

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: 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 Datasets

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Dataset	Platforms	Instruments	Temporal Extent	Location Keywords	Spatial Extent	Data Format
BOREAS TGB-12 Soil Carbon Data: NSA	FIELD INVESTIGATION, LABORATORY	THERMOMETERS, VISUAL OBSERVATIONS, THERMISTORS, CHN ANALYZERS, BALANCE, MASS SPECTROMETERS	1993-08-01 to 1996-07-21		N: 55.93 S: 55.07 E: -97.7 W: -98.95	ASCII
China Dimensions Data Collection: China Maps Bibliographic Database	MODELS	Computer	1765-01-01 to 1994-12-31	CHINA	N: 54 S: 18 E: 135 W: 73	MDB
Classification of Global Forests for IPCC Aboveground Biomass Tier 1 Estimates, 2020	COMPUTERS	Computer	2020-01-01 to 2020-12-31	GLOBAL LAND	N: 90 S: -90 E: 180 W: -180	COG
CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010	MODELS	Computer	2005-01-01 to 2010-12-31		N: 50 S: 19.2881 E: -55.8472 W: -136.153	GeoTIFF
CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095	MODELS	Computer	2005-01-01 to 2095-12-31		N: 49.35 S: 25.25 E: -67.09 W: -124.69	netCDF-4 classic
CMS: Landsat-derived Annual Land Cover Maps for the Colombian Amazon, 2001-2016	LANDSAT-5, LANDSAT-7, LANDSAT-8, MODELS	TM, ETM+, OLI, Computer	2001-01-01 to 2016-12-31	COLOMBIA	N: 5.37713 S: -3.88273 E: -65.954 W: -78.0306	GeoTIFF
CMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014	LANDSAT, MODELS	Polarimetric Radar, Computer	1990-01-01 to 2014-12-31		N: -7.50833 S: -8.03522 E: 39.4972 W: 39.1924	GeoTIFF
CMS: Mangrove Forest Cover Extent and Change across Major River Deltas, 2000-2016	LANDSAT-5, LANDSAT-7, LANDSAT-8, Sentinel-1A, STS-99	TM, ETM+, OLI, SENTINEL-1 C-SAR, SRTM	2000-01-01 to 2016-12-31	MOZAMBIQUE, JAMAICA, GABON, EQUATORIAL, TANZANIA	N: 22.5041 S: -28.0001 E: 107.027 W: -82.0002	GeoTIFF
CMS: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016	MODELS	Computer	2000-01-01 to 2016-12-31	IDAHO, NEVADA	N: 47.1179 S: 33.9309 E: -109.312 W: -123.896	GeoTIFF
CMS: Vegetative Lifeform Cover from Landsat SR for CONUS, 1984-2018	MODELS, LANDSAT-5, G-LiHT, LANDSAT-7	Computer, TM, LIDAR, ETM+	1984-01-01 to 2018-12-31	UNITED STATES OF AMERICA	N: 50.6625 S: 23.2663 E: -65.0638 W: -126.714	GeoTIFF

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