RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS

Jasmin Ismail () and S. Ravichandran

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2008, vol. 22, issue 1, 83-102

Abstract: The study is focused on the estimation of rate of soil erosion, using Revised Universal Soil Loss Eq. 2 (RUSLE2), in the Veppanapalli subwatershed of Krishnagiri catchment located in Tamil Nadu, India. The soil erosion is estimated for each of the hillslope units in the study area. The factors considered are intensity of rainfall, type of soil, land use classification and the existing soil conservation practices. Detailed analysis of soil samples were done to assess the texture, structure, permeability and organic matter content of the soil samples of each hillslope unit. The required data for the other parameters were estimated by carrying out intense field investigations and by the analysis of the satellite imagery of 5.6 m resolution. A data base was created with all the subfactor values for the hillslope units. Incorporation of remote sensing technique and Geographic Information System (GIS) made the spatial analysis of the study more reliable and accurate. The annual average soil erosion rate is estimated as 25 t/ha/year, which is on a higher range. This indicates the immediate need for the adoption of proper conservation strategies in this area to control the eutrophication in the Krishnagiri reservoir and to prevent further watershed degradation. Copyright Springer Science+Business Media, Inc. 2008

Keywords: erosion; RUSLE2 model; remote sensing; GIS analysis (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/s11269-006-9145-9

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