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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
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| VIIRS/NPP Land Cover Dynamics Yearly L3 Global 0.05 Deg CMG V001 | 001 | Suomi-NPP | VIIRS | 2013-01-01 to 2022-12-31 |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| VIIRS/NPP Land Cover Dynamics Yearly L3 Global 500m SIN Grid V001 | 001 | Suomi-NPP | VIIRS | 2013-01-01 to 2022-12-31 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS5 |
| VIIRS/NPP Land Surface Phenology Yearly L3 Global 0.05Deg CMG V002 | 002 | Suomi-NPP | VIIRS | 2013-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| VIIRS/NPP Land Surface Phenology Yearly L3 Global 500m SIN Grid V002 | 002 | Suomi-NPP | VIIRS | 2013-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 16-Day L3 Global 0.05Deg CMG V001 | 001 | Suomi-NPP | VIIRS | 2012-01-17 to 2024-06-08 |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 16-Day L3 Global 0.05Deg CMG V002 | 002 | Suomi-NPP | VIIRS | 2012-01-17 to Present |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 16-Day L3 Global 1km SIN Grid V001 | 001 | Suomi-NPP | VIIRS | 2012-01-17 to 2024-06-08 |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 16-Day L3 Global 1km SIN Grid V002 | 002 | Suomi-NPP | VIIRS | 2012-01-17 to Present |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 16-Day L3 Global 500m SIN Grid V001 | 001 | Suomi-NPP | VIIRS | 2012-01-17 to 2024-06-08 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 16-Day L3 Global 500m SIN Grid V002 | 002 | Suomi-NPP | VIIRS | 2012-01-17 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices 8-Day L3 Global 500m SIN Grid | 2 | Suomi-NPP | VIIRS | 2025-01-01 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF5 |
| VIIRS/NPP Vegetation Indices Monthly L3 Global 0.05Deg CMG V001 | 001 | Suomi-NPP | VIIRS | 2012-01-01 to 2024-04-30 |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices Monthly L3 Global 0.05Deg CMG V002 | 002 | Suomi-NPP | VIIRS | 2012-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices Monthly L3 Global 1km SIN Grid V001 | 001 | Suomi-NPP | VIIRS | 2012-01-01 to 2024-05-31 |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS5 |
| VIIRS/NPP Vegetation Indices Monthly L3 Global 1km SIN Grid V002 | 002 | Suomi-NPP | VIIRS | 2012-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS5 |
| VIIRS/NPP+JPSS Combined Vegetation Index and Snow Products from MAIAC Daily L3 Global at 0.05Deg CMG V002 | 002 | Suomi-NPP, NOAA-20 | VIIRS | 2012-01-17 to Present |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS5 |
| Woody and Herbaceous Vegetation Change across the Savannas of West Africa, 1982-2013 | 1 | MODELS | Computer | 1982-01-01 to 2013-12-31 |
N: 17.4148 S: 9.96476 E: 15.3068 W: -17.1432 |
multiple |
Harmonized Landsat Sentinel-2 (HLS)
These new vegetation indices offer the same near-global coverage, and 30-meter spatial resolution as the initial HLS products.
The release of the HLS codebase gives product users greater visibility into the project’s image processing pipeline.
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.
In partnership with IBM, NASA constructed the first geospatial foundation model specifically trained with Earth observation satellite imagery.
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