Vol. 1, Issue 9, Part J (2015)

Abstract
Landforms on the earth surface are expensive to map or monitor. Remote Sensing observations from space platforms provide a synoptic view of terrain on images. Satellite multispectral data have an advantage in that the image data in various bands can be subjected to digital enhancement techniques for highlighting contrasts in objects for improving image interpretability. Landforms are interpreted on the basis of interpretation element keys namely such as- tone, texture, size, shape, color etc. and extract the specific information from the false color composites LISS-III sensor images. Geomorphological units are classified on the basis differential erosion processes. The data carried out in the year of 2012, in the study area, mainly Pedi plains of Archaean Gneiss and pediments of granites are predominant landforms. Apart from these above geomorphic units, Pediment Incelberg Complex, Inselberg, Bazada, Dolerite Dikes, structural hills and residual hills are mapped using IRS-ID LISS-III satellite imagery using visual interpretation technique along with field check. Remote Sensing and GIS offers detecting, analyzing and time cost effective way to fulfill these goals.