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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 | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| ABoVE: Alder Shrub Cover and Soil Properties, Alaska, 2019, V2 | 2 | LANDSAT-8, LABORATORY, FIELD INVESTIGATION | OLI, CHN ANALYZERS, IRMS, VISUAL CENSUS TRANSECTS | 2018-08-14 to 2019-08-28 |
N: 68.0185 S: 66.3401 E: -149.708 W: -150.714 |
multiple | |
| ABoVE: Annual Phenology Derived from Landsat across the ABoVE Core Domain, 1984-2014 | 1 | LANDSAT-5, LANDSAT-7 | TM, ETM+ | 1984-01-01 to 2014-12-31 |
N: 75.0139 S: 50.259 E: -98.974 W: -170.006 |
GeoTIFF | |
| ABoVE: Climate Drivers of Pan-Arctic Tundra Vegetation Productivity, 1982-2015 | 1 | NOAA POES, DMSP | SSM/I, AVHRR | 1982-01-01 to 2015-12-31 |
N: 90 S: 70 E: 180 W: -180 |
CSV | |
| ABoVE: Environmental Conditions During Fall Moose Hunting Seasons, Alaska, 2000-2016 | 1 | GROUND STATIONS, Terra, METEOROLOGICAL STATIONS, AQUA | WATER LEVEL GAUGES, MODIS, THERMOMETERS | 2000-01-01 to 2016-12-31 |
N: 64.9322 S: 64.5525 E: -156.665 W: -158.533 |
CSV | |
| ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016 | 1 | LANDSAT-5, LANDSAT-7, LANDSAT-8 | TM, ETM+, OLI | 1985-07-01 to 2016-08-31 |
N: 90 S: 31.49 E: 180 W: -180 |
multiple | |
| ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 | 1 | LANDSAT-5, LANDSAT-7, LANDSAT-8 | TM, ETM+, OLI, TIRS | 1985-01-01 to 2019-12-31 |
N: 72 S: 45 E: 180 W: -180 |
multiple | |
| ABoVE: MODIS- and CCAN-Derived NDVI and Trends, North Slope of Alaska, 2000-2015 | 1 | MODELS, Terra | Computer, MODIS | 2000-01-01 to 2015-12-31 |
N: 71.376 S: 66.988 E: -140.98 W: -166.85 |
CSV | |
| ABoVE: MODIS-derived Maximum NDVI, Northern Alaska and Yukon Territory for 2002-2017 | 1 | Terra, Aqua | MODIS | 2002-06-01 to 2017-08-30 |
N: 68.9658 S: 52.1694 E: -97.9305 W: -175.762 |
GeoTIFF | |
| ABoVE: NDVI Trends across Alaska and Canada from Landsat, 1984-2012 | 1 | LANDSAT-5, LANDSAT-7 | TM, ETM+ | 1984-01-01 to 2012-12-31 |
N: 80.5083 S: 41.61 E: -50.1694 W: -169.966 |
GeoTIFF | |
| ABoVE: Peak Greenness for Canadian Boreal Forest from Landsat 5 TM Imagery, 1984-2011 | 1 | LANDSAT-5 | TM | 1970-01-01 to 2014-12-31 |
N: 63.4406 S: 45.3217 E: -53.9102 W: -124.474 |
multiple |
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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.
Vegetation Index Data Tools
| 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 | |
| Earthdata Search | Earthdata Search enables data discovery, search, comparison, visualization, and access across NASA’s Earth science data holdings. | Search and Discovery, Access, Cataloging, Cloud Computing, Downloading | |
| 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 | |
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
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Frequently Asked Questions
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