Studying the changes and destruction of resources in previous years, and possibility-evaluation and prediction of these changes in subsequent years, could be a significant step in the planning and efficient use of resources, and controlling and containment of the unprincipled changes in future. Due to the advantages such as coverage, timeliness, resolution, spectral, radiometric and high spatial ability, frequent data acquisition and the possibility of computer processing, Remote Sensing Data have become the most important source of data in distinguished usages of Change Detection in recent decades. This study aims to detecting and predicting changes in land use in the city of Kashan. In doing so, Remote Sensing Data, including Landsat TM satellite images of the years 1991, 1998 and 2002, the ETM+ of 2010 and OLI image of 2014 have been used. After accomplishing the needed preprocessing, satellite images were processed and align=left Keywords : Change Detection, CA-Markov Model, GEOMOD Model, Landsat, Kashan
