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Vegetation Index Data Access and Tools

From discovery to visualization, data tools such as Worldview, Giovanni, and Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) guide users in making the most of vegetation index data.

Vegetation Index Datasets

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Dataset Sort descending	Version	Platform	Instrument	Temporal Extent	Spatial Extent	Spatial Resolution	Data Format
MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V006	006	Terra, Aqua	MODIS	2001-01-01 to 2019-12-31	N: 90 S: -90 E: 180 W: -180	500 Meters x 500 Meters	HDF-EOS2
MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V061	061	Terra, Aqua	MODIS	2001-01-01 to Present	N: 90 S: -90 E: 180 W: -180	500 Meters x 500 Meters	HDF-EOS2
MODIS/Terra+Aqua Vegetation Index from MAIAC, Daily L3 Global 0.05Deg CMG V061	061	Terra, Aqua	MODIS	2000-02-24 to Present	N: 90 S: -90 E: 180 W: -180	5600 Meters x 5600 Meters	HDF-EOS2
Multispectral Imagery, NDVI, and Terrain Models, Big Trail Lake, Fairbanks, AK, 2019	1	UAV	MULTI-SPECTRAL	2019-08-04 to 2019-08-04	N: 64.9233 S: 64.9162 E: -147.813 W: -147.829		multiple
MuSLI Multi-Source Land Surface Phenology Yearly North America 30 m V001	001	LANDSAT-8, Sentinel-2A, Sentinel-2B	OLI, Sentinel-2 MSI	2016-01-01 to 2018-12-31	N: 90 S: 0 E: 0 W: -180	30 Meters x 30 Meters	netCDF-4
MuSLI Multi-Source Land Surface Phenology Yearly North America 30 m V011	011	LANDSAT-8, Sentinel-2A, Sentinel-2B	OLI, Sentinel-2 MSI	2016-01-01 to 2019-12-31	N: 90 S: 0 E: 0 W: -180	30 Meters x 30 Meters	netCDF-4
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 Alaska 30m Composite Pixel Center Lat/Longs V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-12-31	N: 72 S: 50 E: -125 W: -175		HDF4
NASA Web-Enabled Landsat Data Alaska 30m Composites over Annual Periods V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-11-30	N: 72 S: 50 E: -125 W: -175		HDF4
NASA Web-Enabled Landsat Data Alaska 30m Composites over Monthly Periods V001	001	LANDSAT-7	ETM+	2003-01-01 to 2012-11-30	N: 72 S: 50 E: -125 W: -175		HDF4
NASA Web-Enabled Landsat Data Alaska 30m Composites over Seasonal Periods V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-11-30	N: 72 S: 50 E: -125 W: -175		HDF4
NASA Web-Enabled Landsat Data Alaska 30m Composites over Weekly Periods V001	001	LANDSAT-7	ETM+	2003-01-22 to 2012-12-29	N: 72 S: 50 E: -125 W: -175		HDF4
NASA Web-Enabled Landsat Data CONUS 30m Composite Pixel Center Lat/Longs V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-11-30	N: 52 S: 23 E: -65 W: -127		HDF4
NASA Web-Enabled Landsat Data CONUS 30m Composites over Annual Periods V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-11-30	N: 52 S: 23 E: -65 W: -127		HDF4
NASA Web-Enabled Landsat Data CONUS 30m Composites over Monthly Periods V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-11-30	N: 52 S: 23 E: -65 W: -127		HDF4
NASA Web-Enabled Landsat Data CONUS 30m Composites over Seasonal Periods V001	001	LANDSAT-7	ETM+	2002-12-01 to 2012-11-30	N: 52 S: 23 E: -65 W: -127		HDF4
NASA Web-Enabled Landsat Data CONUS 30m Composites over Weekly Periods V001	001	LANDSAT-7	ETM+	2003-01-01 to 2012-12-31	N: 52 S: 23 E: -65 W: -127		HDF4
NDVI, Species Cover, and LAI, Burned and Unburned sites, Interior Alaska, 2017-2018	1	FIELD SURVEYS, LANDSAT-5, LANDSAT-8, LANDSAT-7	CORING DEVICES, LICOR LEAF AREA METER, MODIS	2017-08-29 to 2018-08-20	N: 65.962 S: 63.8176 E: -144.955 W: -149.959		CSV
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

This 2024 Normalized Difference Vegetation Index (NDVI) image from the HLS project shows the degree of land use change in a region of Western Brazil. Green areas with high NDVI values indicate healthy vegetation while tan and brown areas with low NDVI values indicate soil or barren areas.

The Harmonized Landsat Sentinel-2 Project Releases Vegetation Indices

These new vegetation indices offer the same near-global coverage, and 30-meter spatial resolution as the initial HLS products.

image of HLS Sentinel-2 data over Kansas

Harmonized Landsat Sentinel-2 (HLS) Code Now Openly Available

The release of the HLS codebase gives product users greater visibility into the project’s image processing pipeline.

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.

IMPACT project lead Rahul Ramachandran presents at the 2023 IBM Think Conference

IBM Geospatial Foundation Model Trained with HLS Data

In partnership with IBM, NASA constructed the first geospatial foundation model specifically trained with Earth observation satellite imagery.

Vegetation Index Data Tools

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Items

Tool Sort descending	Description	Services
AppEEARS	The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes.	Search and Discovery, Subsetting, Customization, Downloading, Visualization
Giovanni	Giovanni is a web application for accessing, visualizing, and analyzing Earth science remote sensing data without downloading the data.	Search and Discovery, Analysis, Access, Visualization, Downloading, Subsetting

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