Kashinath, P.Deb, D.Vardhan, H.Mangalpady, M.Samanta, B.2026-02-052011Disaster Advances, 2011, 4, 4, pp. 5-100974262Xhttps://idr.nitk.ac.in/handle/123456789/27169Remote sensing images and techniques are widely used for environmental monitoring, climate changes, forest management and for water resource management. In the present work, identification of land-use land-cover (LULC) changes was studied based on Landsat Satellite (MSS) and IRS Satellite (LISS-III) images by Maximum Likelihood Classification (MLC) method. The study finds that the areas of water bodies and dense forest have decreased by more than 11 % and 6 %, respectively, while area covered by vegetation and habitats have increased by 16 % and 5 %, respectively. It was also found that dense forest was increased by 30 % around Norwapahar mine site area.forest coveridentification methodIRS (satellite)land coverland use changeLandsatmaximum likelihood analysissatellite imageryvegetation cover