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.
Near Infrared (NIR): 0.8351 μm (S2A) / 0.833 μm (S2B)
Red: 0.6645 μm (S2A) / 0.665 μm (S2B)
Period of Record
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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