Spatial prediction of soil erosion risk by remote sensing,GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley,Kerala, India |
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Authors: | V Prasannakumar R Shiny N Geetha H Vijith |
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Institution: | (1) Center for Geo Information Science and Technology, University of Kerala, Kariavattom, Thiruvananthapuram, 695581, Kerala, India |
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Abstract: | Siruvani watershed with a surface area of 205.54 km2 (20,554 hectare), forming a part of the Western Ghats in Attapady valley, Kerala, was chosen for testing RUSLE methodology
in conjunction with remote sensing and GIS for soil loss prediction and identifying areas with high erosion potential. The
RUSLE factors (R, K, LS, C and P) were computed from local rainfall, topographic, soil classification and remote sensing data. This study proved that the
integration of soil erosion models with GIS and remote sensing is a simple and effective tool for mapping and quantifying
areas and rates of soil erosion for the development of better soil conservation plans. The resultant map of annual soil erosion
shows a maximum soil loss of 14.917 t h−1 year−1 and the computations suggest that about only 5.76% (1,184 hectares) of the area comes under the severe soil erosion zone
followed by the high-erosion zone (11.50% of the total area). The dominant high soil erosion areas are located in the central
and southern portion of the watershed and it is attributed to the shifting cultivation, and forest degradation along with
the combined effect of K, LS and C factor. The RUSLE model in combination with GIS and remote sensing techniques also enables the assessment of pixel based
soil erosion rate. |
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