Landsat EVI

Overview
Extent
    Global
Spatial Resolution
    30m
Data Source(s)
    LANDSAT
Science Partner

Description

The Landsat program provides the longest continuous record of satellite earth observations. Landsat spatial, spectral, and temporal resolutions allow for imagery to be processed at sufficient spatial and temporal detail that is optimal for field scale land surface monitoring, management, and research. Landsat data is available for Landsat 5, 7, 8, and composites of 4/5/7/8 using top of atmosphere or at surface reflectance data.

Enhanced Vegetation Index (EVI) provides information on vegetation growth and productivity. Effects of climate, weather, fire, water, and vegetation and crop management can be assessed through developing and visualizing maps, time series, and anomalies of EVI.

EVI is calculated using the Blue, Red, and Near infrared (NIR) bands following the equation EVI = 2.5 * (NIR – Red) / (NIR + 6 * Red – 7.5 * Blue + 1). The Blue band is used to correct Red band values for atmospheric influences and for effects of the underlying soil (Lie and Huete, 1995). EVI does not saturate as quickly in conditions of high leaf area index or biomass. EVI ranges between -1 and 1 where values above 0.5 represent conditions of high vegetation vigor.

Bands Used:
Near Infrared (NIR): 0.77-0.90 μm
Red: 0.63-0.69 μm
Blue: 0.45-0.52 μm

Technical Information

Feature
Detail
Extent
Global
Period of Record
1984-present
Spatial Resolution
30m
Temporal Resolution
8-16 days
Data Summaries
max, min, mean, median, anomalies, trend and statistical significance, spatial and temporal aggregations, time series
Data Source(s)
U.S. Geological Survey
Data Formats
raster (geotiff), raster tile (tile ID), time series (.csv, .xls, .json, .geojson)
Sources

Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao, L. G. Ferreira. (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, 195-213

Liu, H. Q., & Huete, A. (1995). A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing, 33, 457−465

End User License Agreement

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Your license is subject to your prior acceptance of either this Licensed Application End User License Agreement (“Standard EULA”), or a custom end user license agreement between you and the Application Provider (“Custom EULA”), if one is provided.

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