Evaluation and Prediction of Spatial Changes and Urban Growth Using Remote Sensing (Case Study: Qorveh City)

Today Over the past few decades, the growth of urban societies and population growth have led to the spread of distorted cities into separate regions with its original texture and its development towards agricultural land and its surroundings. This unplanned development leads to land use changes in the periphery of the city. In the past few decades, the city of Qorveh has encountered with the development of urban and peri-urban settlements, which caused changes in the land use of the city of Qorveh and its surrounding areas. Analysis of land use change in Qorveh city can be effective in planning for future development of the city. Therefore, to attempted to estimate and determine land use change trends, Landsat satellite images with TM, ETM and OLI sensors were used for the three time periods of 1986, 2000 and 2018. These images were categorized, validated and detected by the Neural Network method to five floors; urban lands, arable lands, dry lands, water zones and Bayer lands. Finally, Markov Autoclave was used to calculate land use changes in Qorveh city for 2031. The results indicate that, continued land use change would result in the degradation of agricultural land use.