Digital change detection techniques based on multi-temporal and multispectral remotely sensed data have demonstrated a great potential as a means to understanding landscape dynamics- detect, identify, map and monitor differences in land use and land cover patterns over period of time, irrespective of the causal factors (Jensen, J.R. 1996). Recent improvements in satellite image quality and availability have made it possible to perform image analysis at much larger scale than in the past. GIS has enormous possible as an environment for the conception of dynamic models of physical environmental processes. Identifying the land use land cover classification of the Kunavaram watershed has be done through the remote sensing data, with the help of GIS software. Final output maps of the cropping pattern and crop concentration was done through the GIS. The present look at illustrates the dynamics of Land use/cover of Kunavaram Mandal, East godavari District, Andhra Pradesh India. IRS - 1C PAN and LISS III merged data) of 2005 and 2012have been obtained via Global Land Cover Facility Site (GLCF) and earth explorer website and quantify the changes in the years 2005-2006 to 20011-12 over a length of 8 years. Supervised type method has been employed using most chance techniques in ERDAS imagine. The images of the area have been categorized into five exceptional classes, specifically Agriculture Cropland, Wastelands, Forest, built-up and Water bodies. The outcomes indicate that over the past 8 years, Forest Land have been changed by -0.29% while agriculture, water body, built-up, Wastelands have decreased by 0.24%, 0.017% and 0.025%0.003 % respectively.