Evaluation of physical-spatial changes using satellite imagery and applying a combination of Markov chains and automatic cells (Case study: Kermanshah city)

In recent years, the urbanization, use and land cover of cities, especially the adjacent residential areas located on the periphery of the city, have been affected by human activities. In order to be aware of the changes process as well as to optimize the management of future user changes in order to properly plan the combination of Markov chain and automated cells is one of the best methods and tools that shows the changes in past years and also with regard to past changes. Predicts changes for the future. Considering the fact that in recent years Kermanshah City has had significant changes in land use. Therefore, in order to find out the type and extent of the changes in the area above, the Landsat 7 and 8, 1993, 2003, 2013, 2018 have been used. After visualization, Fuzzy Artmap and Crosstab comparisons were used to detect and evaluate the changes. Also, to predict the process of change, by March 2033, a combination of Markov chain and automated cells has been used. The results of this research showed that over the past 25 years, about 34.42% of the change in utilization has taken place in the studied area, mainly due to human activities, including the expansion of settlements and lands built on agricultural land In all directions around the city of Kermanshah.