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Watershed Prioritization Using USLE, GIS and Remote Sensing
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: Paper number 062149, 2006 ASAE Annual Meeting . @2006
Authors: Ashish Pandey, V.M. Chowdary, B. C. Mal
Keywords: Erosion, GIS, Prioritization, RS, USLE, Watershed
In the present study, prioritization of Karso watershed of Hazaribagh, Jharkhand State, India was carried out on the basis of average sediment yield data estimated from Universal Soil Loss Equation (USLE). In general, a major limitation in the use of hydrological models has been their inability to handle the large amounts of input data that describe the heterogeneity of the natural system. Remote sensing (RS) technology provides the vital spatial and temporal information on some of these parameters. A recent and emerging technology represented by Geographic Information System (GIS) was used as the tool to generate, manipulate and spatially organize disparate data for sediment yield modeling. Thus, the Arc Info GIS and RS (ERDAS Imagine 8.4) provided spatial input data to the model, while the USLE was used to predict the spatial distribution of the sediment yield on grid basis. The deviation of estimated sediment yield from the observed values in the range of 1.37 to 13.85 per cent indicates accurate estimation of sediment yield from the watershed. Subsequently, average sediment yields were estimated and the critical erosion prone areas of watersheds were arranged in the descending order of their sediment yields for prioritization purpose.