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Watershed Prioritization Using USLE, GIS and Remote Sensing

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). 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.
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Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

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Last modified by Nicole Faraguna

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