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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
NACP Peatland Landcover Type and Wildfire Burn Severity Maps, Alberta, Canada	1	NOT APPLICABLE	NOT APPLICABLE	2010-06-17 to 2013-07-22	N: 57.2062 S: 56.9053 E: -110.286 W: -114.901		multiple
NASA Global Web-Enabled Landsat Data Annual Global 30 m V031	031	LANDSAT-7, LANDSAT-5, LANDSAT-4	ETM+, TM	1984-01-01 to 2001-12-31	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	HDF-EOS2
NASA Global Web-Enabled Landsat Data Annual Global 30 m V032	032	LANDSAT-7, LANDSAT-5	ETM+, TM	2004-01-01 to 2006-12-31	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	HDF-EOS2
NASA Global Web-Enabled Landsat Data Monthly Global 30 m V031	031	LANDSAT-7, LANDSAT-5, LANDSAT-4	ETM+, TM	1984-03-01 to 2001-11-30	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	HDF-EOS2
NASA Global Web-Enabled Landsat Data Monthly Global 30 m V032	032	LANDSAT-7, LANDSAT-5	ETM+, TM	2003-12-01 to 2006-11-30	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	HDF-EOS2
NASA Web-Enabled Landsat Data 5 year Land Cover Land Use Change Product V001	001	LANDSAT-7	ETM+	2006-04-15 to 2010-11-17	N: 52 S: 23 E: -65 W: -127		HDF4
NOAA-07 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-7	AVHRR	1981-06-24 to 1985-02-02	N: 90 S: -90 E: 180 W: -180	1 Decimal Degrees x 1 Decimal Degrees	HDF-EOS
NOAA-09 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-9	AVHRR	1985-01-04 to 1988-11-09	N: 90 S: -90 E: 180 W: -180	1 Decimal Degrees x 1 Decimal Degrees	HDF-EOS
NOAA-11 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-11	AVHRR	1988-11-08 to 1995-01-01	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS
NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-14	AVHRR	1995-01-01 to 2000-11-01	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS
NOAA-16 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-16	AVHRR	2000-11-01 to 2008-01-02	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS
NOAA-18 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-18	AVHRR	2005-07-01 to 2010-01-31	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS
NOAA19 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	6	NOAA-19	AVHRR	2009-05-31 to 2018-01-31	N: 90 S: -90 E: 180 W: -180	0.5 Decimal Degrees x 0.5 Decimal Degrees	HDF-EOS
NOAA-20 VIIRS Level-3 Global Binned Normalized Difference Vegetation Index Data, version 2022.0	2022.0	NOAA-20	VIIRS	2017-11-29 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-20 VIIRS Level-3 Global Binned Normalized Difference Vegetation Index Data, version R2022.0	R2022.0	NOAA-20	VIIRS	2017-11-29 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-20 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index Data, version 2022.0	2022.0	NOAA-20	VIIRS	2017-11-29 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-20 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index Data, version R2022.0	R2022.0	NOAA-20	VIIRS	2017-11-29 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-21 VIIRS Level-3 Global Binned Normalized Difference Vegetation Index Data, version 2025.0	2025.0	NOAA-21	VIIRS	2022-11-10 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-21 VIIRS Level-3 Global Binned Normalized Difference Vegetation Index Data, version 2025.0	2025.0	NOAA-21	VIIRS	2022-11-10 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-21 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index Data, version 2025.0	2025.0	NOAA-21	VIIRS	2022-11-10 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
NOAA-21 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index Data, version 2025.0	2025.0	NOAA-21	VIIRS	2022-11-10 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
OPERA Land Surface Disturbance Alert from Harmonized Landsat Sentinel-2 product (Version 1)	1	Sentinel-2A, Sentinel-2B, Sentinel-2C, LANDSAT-8, LANDSAT-9	Sentinel-2 MSI, OLI	2022-01-01 to Present	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	COG
OPERA Land Surface Disturbance Alert from Harmonized Landsat Sentinel-2 provisional product (Version 0)	0	Sentinel-2A, Sentinel-2B, Sentinel-2C, LANDSAT-8, LANDSAT-9	Sentinel-2 MSI, OLI	2022-01-01 to 2024-02-26	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	COG
OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 product (Version 1)	1	Sentinel-2A, Sentinel-2B, Sentinel-2C, LANDSAT-8, LANDSAT-9	Sentinel-2 MSI, OLI	2023-01-01 to Present	N: 90 S: -90 E: 180 W: -180	30 Meters x 30 Meters	COG
PACE OCI Level-2 Regional 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

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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