Supervision and prediction of physical expansion changes and floor area ratio developed in Sari city using Landsat satellite images and CA-Markov model

In this study, using Landsat satellite images, physical and density made changes in the city of Sari were evaluated simultaneously in four periods of 10 years from 1988 to 2018. Maximum Likelihood Classification and Normalized spectral mixture analysis (NSMA) algorithms were used to extract physical and density made information from satellite imagery, respectively. The results showed that the area of the city of Sari increased from 1726 hectares in 1988 to 3071 hectares in 2018, with the largest expansion in the east, south and southwest. density made has also risen from 49% in 1988 to 56% in 2018, with the highest increase in the northeast (12%), south (12%), and west (10%) respectively. In addition, physical expansion and density made were simulated in 2028. The results of the prediction model show increase the 1716-hectare urban area of Sari focusing on the southwest and east directions in 2028. Furthermore, it is expected the increase in the average density made of from 56 percent to 63 percent the most in the north, east and southwest directions along the main roads of the city.