Abstract
The present study was aimed at assessing the potential of remote sensing data in providing input to the SCS model developed by USDA and exploring the possibilities of improving the model through implementation of a GIS package. Subsequently, prioritization of watersheds in Tilaiya Catchment area (Bihar, India) based on their run-off potential indices was envisaged.
The results demonstrated the capability of Landsat data in providing multithematic maps which could be used to provide input to the run-off model. Implementation of the GIS package enabled computation of run-off potential indices on pixed-by-pixel basis imparting physically distributed approach to the model.
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Das, S.N., Narula, K.K. & Laurin, R. Run-off potential indices of watersheds in Tilaiya Catchment, Bihar (India) through use of remote sensing and implementation of GIS. J Indian Soc Remote Sens 20, 207–221 (1992). https://doi.org/10.1007/BF03001919
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DOI: https://doi.org/10.1007/BF03001919