Sentinel-2 NDVI

    Quasi Global (83 degrees N, 56 degrees S latitude)
Spatial Resolution
Data Source(s)
    European Space Agency (ESA)
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.

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

NDVI is calculated as the normalized difference between the red and near infrared (NIR) bands following the equation (NIR – Red) / (NIR + Red) (Huete et al., 1985; Jackson and Huete, 1991). Red light is absorbed by chlorophyll while NIR light is reflected by plant mesophyll tissues. NDVI ranges between -1 and 1 where values above 0.5 represent conditions of high vegetation vigor.

Bands Used:
Near Infrared (NIR): 0.8351 μm (S2A) / 0.833 μm (S2B)
Red: 0.6645 μm (S2A) / 0.665 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)

Huete, A. R., Jackson, R. D., and Post, D. F. (1985), Spectral response of a plant canopy with different soil backgrounds, Remote Sens. Environ. 17:37-53.

Jackson, R. D., and Huete, A. R. (1991), Interpreting vegetation indices, J. Preventative Vet. Med. 11:185-200.

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