Establishing a Relationship Between Soil Erodibility and NDVI in the Urmodi River Watershed of Maharashtra Using GIS

In this study, the two important bio-physical factors that plays a key role in understanding the nature of soil erosion takes place on terrain has been investigated. Numerous Remote Sensing (RS)-based indicators are used to show the state of the vegetation. A typical slope-based vegetation factor used to attain the canopy condition is the Normalized Difference Vegetation Index (NDVI), which is one of the RS-based indices. One of the most popular techniques for calculating soil erosion all across the world is the Revised Universal Soil Loss Equation (RUSLE). The soil texture and SOM parameters were calculated using field-based soil samples. K factor values ranged from 0.02 to 0.75 ton/ha−1 h−1 ha−1 MJ mm−1 when calculated using the Stone and Hillborn method. A higher propensity for soil erosion is indicated by a high erodibility factor. High values on an NDVI raster map indicate decreased susceptibility to soil erosion. The amount of vegetation and water-induced soil loss are inversely related. It was found that there was a positive association between these variables, which basically means that there is a lot of land degradation activities in the current study area.