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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
PACE OCI Level-2 Regional Land Vegetation Indices - Near Real-time (NRT) Data, version 3.2	3.2	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-2 Regional Land Vegetation Indices Data, version 3.1	3.1	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-2 Regional Land Vegetation Indices Data, version 3.2	3.2	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Binned Land Vegetation Indices - Near Real-time (NRT) Data, version 3.1	3.1	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Binned Land Vegetation Indices - Near Real-time (NRT) Data, version 3.2	3.2	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Binned Land Vegetation Indices Data, version 3.1	3.1	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Binned Land Vegetation Indices Data, version 3.2	3.2	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Mapped Land Vegetation Indices - Near Real-time (NRT) Data, version 3.1	3.1	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Mapped Land Vegetation Indices - Near Real-time (NRT) Data, version 3.2	3.2	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Mapped Land Vegetation Indices Data, version 3.1	3.1	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PACE OCI Level-3 Global Mapped Land Vegetation Indices Data, version 3.2	3.2	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PALS/In Situ Multi-Campaign 800 m UTM Grid Brightness Temperature, Backscatter, and Soil Moisture Match-Up V001	1	AIRCRAFT	PALS	1999-07-08 to 1999-07-14	N: 35.21 S: 34.91 E: -97.83 W: -98.67 , N: 41.99 S: 41.92 E: -93.4 W: -93.8 , N: 39.09 S: 38.95 E: -75.54 W: -76.18	800 Meters x 800 Meters	ASCII
Pantropical Forest Height and Biomass from GEDI and TanDEM-X Data Fusion	1	ISS, G-LiHT, TDX	GEDI, LIDAR, TDX-1	2011-01-06 to 2021-08-18	N: 33 S: -15.005 E: 15.005 W: -119		COG
PREFIRE Auxiliary Meteorology Data for PREFIRE Satellite 1 version R01	R01	PREFIRE-SAT1	TIRS-PREFIRE	2024-07-24 to Present	N: 84 S: -84 E: 180 W: -180		netCDF-4
PREFIRE Auxiliary Meteorology Data for PREFIRE Satellite 2 R01	R01	PREFIRE-SAT2	TIRS-PREFIRE	2024-06-29 to Present	N: 84 S: -84 E: 180 W: -180		netCDF-4
PREFIRE Auxiliary Satellite Data for PREFIRE Satellite 1 R01	R01	Suomi-NPP, NOAA-20, GCOM-W1, DMSP 5D-3/F18, PREFIRE-SAT1	VIIRS, AMSR2, SSMIS, TIRS-PREFIRE	2024-07-24 to Present	N: 84 S: -84 E: 180 W: -180		netCDF-4
PREFIRE Auxiliary Satellite Data for PREFIRE Satellite 2 R01	R01	NOAA-20, Suomi-NPP, GCOM-W1, DMSP 5D-3/F18, PREFIRE-SAT2	VIIRS, AMSR2, SSMIS, TIRS-PREFIRE	2024-06-29 to Present	N: 84 S: -84 E: 180 W: -180		netCDF-4
Pre-LBA CABARE Mapped Land Surface and Vegetation Characteristics, Rondonia, Brazil	1	MAPS, LANDSAT	DIGITIZER, TM	1978-01-01 to 1994-12-31	N: -8 S: -13 E: -60 W: -65		Text File
Pre-LBA ISLSCP Initiative I Data	1	NOAA-10, LANDSAT	AVHRR, TM	1987-01-01 to 1988-12-31	N: 90 S: -90 E: 180 W: -180		Shapefile
Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUANC) at GES DISC	004	Aura, GEOS-5	OMI, NOT APPLICABLE	2004-10-01 to Present	N: 90 S: -90 E: 180 W: -180	24 Kilometers x 13 Kilometers
Primary Ancillary Data Geo-Colocated to OMI/Aura VIS 1-Orbit L2 Swath 13x24km V4 (OMVANC) at GES DISC	004	Aura, GEOS-5	OMI, NOT APPLICABLE	2004-10-01 to Present	N: 90 S: -90 E: 180 W: -180	24 Kilometers x 13 Kilometers
PROVE Land Cover and Leaf Area of Jornada Experimental Range, New Mexico, 1997	1	FIELD INVESTIGATION	LICOR LEAF AREA METER, CAMERAS, SUNFLECK CEPTOMETER, LIDAR ALTIMETERS	1997-05-13 to 1997-05-31	N: 32.5 S: 32.5 E: -106.75 W: -106.75		CSV
PROVE Surface albedo of Jornada Experimental Range, New Mexico, 1997	1	FIELD INVESTIGATION	PYRANOMETERS, CAMERAS	1997-05-22 to 1997-05-27	N: 32.5 S: 32.5 E: -106.75 W: -106.75		CSV
Resilience of Coastal Wetlands to Sea Level Rise, CONUS, 1996-2100	1	MODELS	Computer	1996-01-01 to 2100-12-31	N: 49.2069 S: 22.7276 E: -64.9678 W: -127.984		multiple
RLC AVHRR-Derived Land Cover, Former Soviet Union, 15-km, 1984-1993	1	NOAA-9	AVHRR	1984-01-01 to 1993-12-31	N: 75 S: 35.2389 E: 180 W: 19.816		multiple

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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Frequently Asked Questions

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