Consolidation of 2-channel and 3-channel vegetation indices for vegetation cover on natural pastures

This study was carried out in order to study the use of remote sensing data to highlight the features of various vegetation indixes, such as NDVI and EVI2, taking into account the physiographic and climatic conditions of Uzbekistan. Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) were used to monitor vegetation in Uzbekistan. The Vegetation Index (EVI) has been found to be useful in improving the linearity of vegetation biophysical properties and in reducing the saturation effects found on densely vegetated surfaces commonly encountered in Normalized Difference Vegetation Index (NDVI) calculations. However, EVI requires a blue band and is sensitive to change. In the blue band, the reflectivity of the band, which limits the consistency of EVI across different sensors. The aim of this study is to develop a 2-band EVI2 without blue band (EVI2) that has a better similarity to 3-band EVI.