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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 |
|---|---|---|---|---|---|---|---|
| LBA-ECO LC-15 NDVI Composite Images of the Amazon Basin: 1999-2000 | 1 | SPOT-4 | IMAGING RADIOMETERS | 1999-01-01 to 2000-12-30 |
N: 13.8583 S: -23.4268 E: -47.0231 W: -82.7208 |
GeoTIFF | |
| LBA-ECO LC-39 Modeled Carbon Flux from Deforestation, Mato Grosso, Brazil: 2000-2006 | 1 | Terra | MODIS | 2000-10-01 to 2006-09-30 |
N: -10 S: -20 E: -50.7629 W: -63.8507 |
multiple | |
| Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012 | 1 | SATELLITES | AVHRR | 1982-06-01 to 2012-08-31 |
N: 90 S: 20 E: 180 W: -180 |
multiple | |
| Maps of Vegetation, NDVI, Snow and Thaw Depths: North Slope, Alaska and NWT, Canada | 1 | FIELD SURVEYS, FIELD INVESTIGATION | VISUAL OBSERVATIONS, SPECTROMETERS, SNOW MEASURING ROD | 2000-08-01 to 2012-12-31 |
N: 78.7857 S: 68.3617 E: -103.552 W: -148.852 |
multiple | |
| Maps of Vegetation Types and Physiographic Features, Kuparuk River Basin, Alaska | 1 | SPOT-1, LANDSAT | ETM+, MSS | 1976-08-04 to 2008-12-31 |
N: 70.5422 S: 68.2881 E: -148.085 W: -151.196 |
multiple | |
| MEaSUREs Vegetation Continuous Fields (VCF) Yearly Global 0.05 Deg V001 | 001 | NOAA-7, NOAA-9, NOAA-11, NOAA-14, Terra | AVHRR, MODIS | 1982-01-01 to 2016-12-31 |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | GeoTIFF |
| MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXLND) at GES DISC | 5.12.4 | MERRA-2 | NOT APPLICABLE | 1980-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.625 Decimal Degrees x 0.5 Decimal Degrees | |
| MERRA-2 tavgM_2d_lnd_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXLND) at GES DISC | 5.12.4 | MERRA-2 | NOT APPLICABLE | 1980-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.625 Decimal Degrees x 0.5 Decimal Degrees | |
| MERRA-2 tavgU_2d_lnd_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXLND) at GES DISC | 5.12.4 | MERRA-2 | NOT APPLICABLE | 1980-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.625 Decimal Degrees x 0.5 Decimal Degrees | |
| METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG | 6 | METOP-B | AVHRR | 2013-01-16 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.05 Decimal Degrees x 0.05 Decimal Degrees | HDF-EOS |
| MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 | 3 | Terra, Aqua | MODIS | 2000-01-01 to 2015-12-31 |
N: 50.5562 S: 20.8458 E: -62.556 W: -129.892 |
netCDF-4 classic | |
| MODIS/Aqua Monthly Vegetation Indices Global 1x1 degree V005 (MYDVI) at GES DISC | 005 | Aqua | MODIS | 2002-07-01 to 2015-12-31 |
N: 90 S: -90 E: 180 W: -180 |
1 Decimal Degrees x 1 Decimal Degrees | |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 0.05Deg CMG V006 | 006 | Aqua | MODIS | 2002-07-04 to 2023-02-25 |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 0.05Deg CMG V061 | 061 | Aqua | MODIS | 2002-07-04 to Present |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid V006 | 006 | Aqua | MODIS | 2002-07-04 to 2023-02-25 |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid V061 | 061 | Aqua | MODIS | 2002-07-04 to Present |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V006 | 006 | Aqua | MODIS | 2002-07-04 to 2023-02-25 |
N: 90 S: -90 E: 180 W: -180 |
250 Meters x 250 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V061 | 061 | Aqua | MODIS | 2002-07-04 to Present |
N: 90 S: -90 E: 180 W: -180 |
250 Meters x 250 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V006 | 006 | Aqua | MODIS | 2002-07-04 to 2023-02-25 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 | 061 | Aqua | MODIS | 2002-07-04 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V006 | 006 | Aqua | MODIS | 2002-07-01 to 2023-01-31 |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V061 | 061 | Aqua | MODIS | 2002-07-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
5600 Meters x 5600 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices Monthly L3 Global 1km SIN Grid V006 | 006 | Aqua | MODIS | 2002-07-01 to 2023-01-31 |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS2 |
| MODIS/Aqua Vegetation Indices Monthly L3 Global 1km SIN Grid V061 | 061 | Aqua | MODIS | 2002-07-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
1000 Meters x 1000 Meters | HDF-EOS2 |
| MODIS-derived Aggregate, Woody and Herbaceous Leaf Area Index for Africa, 2002-2022 | 1 | Terra, Aqua | MODIS | 2002-07-05 to 2022-07-29 |
N: 20.02 S: -40.02 E: 63.8625 W: -21.2839 |
netCDF-4 |
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.
Frequently Asked Questions
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