Sentinel-2 EVI

    Quasi Global (83 degrees N, 56 degrees S latitude)
Spatial Resolution
Data Source(s)
    Copernicus Programme
Science Partner


The Sentinel program is composed of two satellites (Sentinel 2A, 2B) and was developed to monitor land surface changes in vegetation, the environment, and land cover. Sentinel-2 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. Sentinel-2 datasets are available for Sentinel 2A, 2B, and composite of 2A/2B 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:
Red: 0.6645 μm (S2A) / 0.665 μm (S2B)
Near Infrared (NIR): 0.8351 μm (S2A) / 0.833 μm (S2B)

Technical Information

Quasi Global (83 degrees N, 56 degrees S latitude)
Period of Record
2015-present for 2A; 2017-present for 2B
Spatial Resolution
Temporal Resolution
2-3 days (at mid latitudes), 5-10 days (at equator)
Data Summaries
max, min, mean, median, anomalies, trend and statistical significance, spatial and temporal aggregations, time series
Data Source(s)
European Space Agency (ESA)
Data Formats
raster (geotiff), raster tile (tile ID), time series (.csv, .xls, .json, .geojson)

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

A. 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

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