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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 |
|---|---|---|---|---|---|---|---|
| Global Forest Ecosystem Structure and Function Data For Carbon Balance Research | 1 | NOAA-14 | AVHRR | 1897-01-01 to 2006-12-31 |
N: 67.36 S: -42.87 E: 172.75 W: -159.5 |
Shapefile | |
| Global Land Cover Mapping and Estimation Yearly 30 m V001 | 001 | LANDSAT-8, LANDSAT-7, LANDSAT-5 | OLI, ETM+, TM | 2001-07-01 to 2021-07-01 |
N: 90 S: -90 E: 180 W: -180 |
30 Meters x 30 Meters | GeoTIFF |
| Global Mangrove Loss Extent, Land Cover Change, and Loss Drivers, 2000-2016 | 1 | LANDSAT-7, LANDSAT-8, COMPUTERS, LANDSAT-5 | ETM+, OLI, Computer, TM | 2000-01-01 to 2016-12-31 |
N: 27.0432 S: -58.4496 E: 164.691 W: -94.5607 |
multiple | |
| Global Monthly Mean Leaf Area Index Climatology, 1981-2015 | 1 | MODELS, Terra, NOAA POES | Computer, MODIS, AVHRR | 1981-08-01 to 2015-08-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic | |
| Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 | 1 | NOAA POES, METOP-A, METOP-B, METOP-C | AVHRR | 1982-01-01 to 2022-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic | |
| Green Vegetation Fraction High-Resolution Maps for Selected US Tidal Marshes, 2015 | 1 | Airplane, LANDSAT | CAMERA, ETM+ | 2013-09-25 to 2015-08-27 |
N: 47.121 S: 25.0847 E: -69.9266 W: -122.746 |
GeoTIFF | |
| Greenness Trends and Carbon Stocks of Mangrove Forests Across Mexico, 2001-2015 | 1 | Aqua, MODELS | MODIS, Computer | 2001-01-01 to 2015-12-31 |
N: 29.7262 S: 14.4292 E: -86.5302 W: -114.055 |
multiple | |
| HLS Operational Land Imager Vegetation Indices Daily Global 30 m V2.0 | 2.0 | LANDSAT-8, LANDSAT-9 | OLI | 2013-04-11 to Present |
N: 90 S: -90 E: 180 W: -180 |
30 Meters x 30 Meters | COG |
| HLS Sentinel-2 Multi-spectral Instrument Vegetation Indices Daily Global 30 m V2.0 | 2.0 | Sentinel-2A, Sentinel-2B, Sentinel-2C | Sentinel-2 MSI | 2015-11-28 to Present |
N: 90 S: -90 E: 180 W: -180 |
30 Meters x 30 Meters | COG |
| ISLSCP II AVHRR Albedo and BRDF, 1995 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | STEEL MEASURING TAPE, LICOR LEAF AREA METER, AVHRR, MODIS | 1995-02-01 to 1995-07-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II C4 Vegetation Percentage | 1 | FIELD INVESTIGATION, NOAA-14, Terra | LICOR LEAF AREA METER, STEEL MEASURING TAPE, MODIS, AVHRR | 1993-01-01 to 1998-12-31 |
N: 90 S: -90 E: 180 W: -180 |
ASCII | |
| ISLSCP II Continuous Fields of Vegetation Cover, 1992-1993 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | LICOR LEAF AREA METER, STEEL MEASURING TAPE, MODIS, AVHRR | 1992-04-01 to 1993-05-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II Ecosystem Rooting Depths | 1 | FIELD INVESTIGATION, NOAA-14, Terra | STEEL MEASURING TAPE, LICOR LEAF AREA METER, AVHRR, MODIS | 1995-02-01 to 1995-07-31 |
N: 90 S: -90 E: 180 W: -180 |
ASCII | |
| ISLSCP II FASIR-adjusted NDVI, 1982-1998 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | LICOR LEAF AREA METER, STEEL MEASURING TAPE, AVHRR, MODIS | 1982-01-01 to 1998-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II FASIR-adjusted NDVI Biophysical Parameter Fields, 1982-1998 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1982-01-01 to 1998-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II GIMMS Monthly NDVI, 1981-2002 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | LICOR LEAF AREA METER, STEEL MEASURING TAPE, AVHRR, MODIS | 1981-07-01 to 2002-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II Historical Croplands Cover, 1700-1992 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | LICOR LEAF AREA METER, STEEL MEASURING TAPE, MODIS, AVHRR | 1700-01-01 to 1992-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II Historical Land Cover and Land Use, 1700-1990 | 1 | FIELD INVESTIGATION, Terra, NOAA-14 | STEEL MEASURING TAPE, LICOR LEAF AREA METER, MODIS, AVHRR | 1700-01-01 to 1990-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II IGBP DISCover and SiB Land Cover, 1992-1993 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | STEEL MEASURING TAPE, LICOR LEAF AREA METER, MODIS, AVHRR | 1986-01-01 to 1995-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II Leaf Area Index (LAI) from Field Measurements, 1932-2000 | 1 | FIELD INVESTIGATION, NOAA-14, Terra | STEEL MEASURING TAPE, LICOR LEAF AREA METER, MODIS, AVHRR | 1932-01-01 to 2000-12-31 |
N: 71.3 S: -54.5 E: 172.75 W: -156.67 |
CSV | |
| ISLSCP II Monthly Snow-Free Albedo, 1982-1998, and Background Soil Reflectance | 1 | FIELD INVESTIGATION, Terra, NOAA-14 | STEEL MEASURING TAPE, LICOR LEAF AREA METER, MODIS, AVHRR | 1982-01-01 to 1998-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II NOAA 5-year Average Monthly Snow-free Albedo from AVHRR | 1 | FIELD INVESTIGATION, NOAA-14, Terra | STEEL MEASURING TAPE, LICOR LEAF AREA METER, MODIS, AVHRR | 1985-04-01 to 1991-03-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| ISLSCP II Potential Natural Vegetation Cover | 1 | NOAA-14, Terra, FIELD INVESTIGATION | AVHRR, MODIS | 1992-04-01 to 1993-04-01 |
N: 90 S: -90 E: 180 W: -180 |
ASCII | |
| LBA Regional Land Cover from AVHRR, 1-Degree, 1987 (Defries and Townshend) | 1 | NOAA-9, NOAA-10, NOAA-11 | AVHRR | 1987-01-01 to 1987-12-31 |
N: 10 S: -25 E: -30 W: -85 |
multiple | |
| LBA Regional Land Cover from AVHRR, 1-km, 1992-1993 (Hansen et al.) | 1 | NOAA-10, NOAA-9, NOAA-11 | AVHRR | 1992-01-01 to 1993-12-31 |
N: 10 S: -25 E: -30 W: -85 |
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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