EVI2-2 (Enhanced Vegetation Index 2 - 2)

EVI2-2 is a commonly used remote sensing tool for quantifying vegetation cover and health in digital imagery. It takes into account two key spectral indices, including the 2-dimensional spectral index (2SI), which is a measure of the relative abundance of red and blue light in the illuminated to-be-classified area, and the Simple Layered Perceptron (SLP), a machine learning technique that uses the 2SI and other spectral indices as input features to predict landscape vegetation classes. Together, these indices provide a powerful tool for analyzing and understanding vegetation cover on the Earth’s surface

EVI2-2 = 2.5 [ (NIR - Red) / (NIR + Red + 1) ]