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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
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 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 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 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
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
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
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 3.1	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 3.1	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 3.1	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 3.1	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 3.1	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 3.1	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 3.1	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 3.1	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 3.1	3.1	PACE	OCI	2024-03-05 to Present	N: 90 S: -90 E: 180 W: -180		netCDF-4
PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018	2	FIELD INVESTIGATION	CAMERA	1999-11-16 to 2018-12-31	N: 71.28 S: -22.97 E: 119.22 W: -158.15		ASCII, Binary
PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018	2	FIELD INVESTIGATION	CAMERA	1999-11-16 to 2018-12-31	N: 71.28 S: -22.97 E: 119.22 W: -158.15		CSV, GeoTIFF, JSON, Text File
PhenoCam Dataset v3.0: Digital Camera Imagery from the PhenoCam Network, 2000-2023	3	FIELD INVESTIGATION	CAMERAS	2000-02-01 to 2023-12-31	N: 71.29 S: -45.0389 E: 172.351 W: -158.171		multiple
Phenoregions For Monitoring Vegetation Responses to Climate Change	1	LANDSAT-7	TM	1982-01-01 to 1999-12-31	N: 90 S: -90 E: 180 W: -180		Text File
SAFARI 2000 AVHRR Daily Site (1.5 km) and 15-Day Regional (1.5- and 6-km) Imagery	1	NOAA-14	AVHRR	1998-07-01 to 2000-10-31	N: -7.4861 S: -35.2617 E: 43.1995 W: 8.733		Binary
SAFARI 2000 Land Cover from AVHRR, 1-Deg, 1987 (Defries and Townshend)	1	NOAA-9, NOAA-10, NOAA-11	AVHRR	1987-01-01 to 1987-12-31	N: 5 S: -35 E: 60 W: 5		multiple

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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