ABSTRACT
Scientists have developed vegetation indices for qualitative and quantitative evaluation of vegetative cover using spectral data in remote sensing applications. A complex blend of vegetation, soil brightness, environmental impacts, shadow, soil color, and moisture can be visible in the spectral response of vegetated areas. Additionally, the spatial-temporal fluctuations of the atmosphere impact the spectral indices. In the last 20 years, more than 40 indices have been made to improve categorization response and lessen the effects of the things listed above. Vegetation indices are numerical measurements that show how vigorous the vegetation is. They have greater sensitivity for the identification of biomass than individual spectral bands. These indices are interesting because they can be used to evaluate remote-sensing images. In particular, they help detect land use changes (temporal data), assess vegetative cover density, tell the difference between different crop types, and predict agricultural yields. Most of these indices are interested in improving classifications in the domain of thematic mapping. This project will list and describe most of the chosen regions’ green vegetation, soil types, and water bodies. The proposed method has compared how they have changed over time. It will also use spectral indices to sort these areas into groups.
