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.
Soil Adjusted Vegetation Index (SAVI) provides information on vegetation growth and productivity while correcting for influences of soil reflectance. 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 SAVI.
SAVI is calculated as the normalized difference between the red and near infrared (NIR) bands following the equation (NIR – Red) / (NIR + Red + L), where L is a soil brightness correction factor which is typically 0.5 (Huete 1988; Ray 2020). Soil reflectance adjustments have shown to be useful for applications in sparse vegetative cover.
Near Infrared (NIR): 0.77-0.90 μm
Red: 0.63-0.69 μm
Period of Record
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