One forms of soil erosion are mainly

of the most serious and continuous endemic environmental problem is soil
erosion and land degradation particularly in third world country where
agriculture is the main economic activity. 
More than 50% of the total area of India is affected by land degradation
resulting from soil erosion (Sehgal and Abrol 1994). It is now established fact
that each year more than 75 billion tons of soil is removed from agricultural
land due to erosion (Pandey et al. 2009). Broadly acceptable to the
geomorphologists, erosion is the progressive removal of soil or rock particles
from the parent mass by a fluid agent (Strahler 1964). The forms of soil
erosion are mainly sheet, rill and gully erosion. But this type of erosion widely
varied in different spatial and temporal scale depending on morpho-climatic and
pedo-geomorphic factors (Ghosh and Maji 2011). The amount of soil erosion is
measured on the basis of two models i.e. physical based and empirical based
model.  GIS and remote sensing (RS)
provide spatial input data to the empirical model and predict the potential
soil erosion rate.

using different type of models many scholar have worked on soil erosion
throughout the world (Demirci and Karaburan 2012; Ganasri and Ramesh 2016;
Kouli et al. 2012; Zhou and Wu 2008). The most commonly used empirical model is
Universal Soil Loss Equation (USLE) developed by Wischmeier and Smith in 1965 for
measuring sheet and rill erosion (Ganasri and Ramesh 2016). Revised universal
Soil Loss Equation (RUSLE) uses the same empirical principles as USLE; however
it includes numerous improvements, such as monthly factors,
incorporation of the influence of profile convexity/concavity using segmentation
of irregular slopes, improved empirical equations for the computation of LS
factor (Foster and Wischmeier1974, Renard et al. 1991).  In this study LISS III image has been used for
generating C factor by using Normalized Difference Vegetation Index (NDVI). The
present study is an attempt to focus on the estimation of soil erosion in the
upper Kangsabati watershed by RUSLE model.

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