Detection and monitoring of land use change using supervised classification method and post classification comparison (case study of Assaluyeh area)

Coastal areas has been important for mankind because of the abundance of potential possibilities for development since long time ago and this can be the reason for concentration of %75 of the world's population at radius of 200 km from the coasts.The purpose of this study is the change detection of land use in coastal areas of assalouye by using landsat images in two 16-year periods (2984-2000-2016). Land use maps for these years was extracted from landsat satellite imagery and was corrected by using of available maps and also google earth images and was verified through the error matrix approach, kappa coefficient and overall accuracy. kappa coefficient ( 0.94; 08808 and 0.9517) and overall accuracy (96.56%; 95.4952% and 93.5883% ) was obtained for 1984, 2000 and 2016 years respectively.The results show that increase in area in the residential areas use unit (126.36 square kilometer ) and vegetation (6.13 square kilometer) and decrease in area in the bayer areas use class (-125.37) and water range (-7.15 square kilometer) has been created during 32 years. Bayer lands has the most changes and residential areas unit as the most development.