Abstract:

Digital Image Processing is one of the best technologies to sort out the required features from the remote sensing data. Principal component analysis enhances the utilities of this technology by reducing the redundancy of data by separating it into different images. Asan watershed, situated in the Doon valley, Garhwal Himalaya, shows a variety of landforms. Principal component analysis has been performed to delineate the different landforms/geomorphic units of the Asan watershed. The major geomorphic units, structures and landuse, well highlighted by the PC analyses are Denudo-structural hills, Structural Hills, Residual Hills, Piedmont Zone, River Terraces, Flood Plains, lineaments and settlements.