An Appraisal on the Progress of Geoinformatics Applications in Soil Erosion Studies

Abstract

The main objective of the study is to establish the model of soil erosion. Globally, applications for remote satellite sensing in soil erosion mapping and modelling has gathered significant momentum in the last decade. This degrading phenomenon weakens the soil fertility and drastically affects the agricultural practices. However, there is a method to identify the most vulnerable areas and quantify the soil erosion. Revised Universal Soil Loss Equation (RUSLE) has been adopted to estimate soil erosion. This model takes into consideration the parameters including runoff-rainfall erosivity factor (R), soil erodability Factor (K), topographic factor (LS), cropping management factor (C), and support practice factor (P). This work details on the focusing an overall view in the advancements of Geoinformatics applications in soil erosion study. The soil erosion mainly occurs in hilly areas and the steep slopes.