Application of artificial neural network and Cellular AutomataIn modeling and predicting land use changes in Bavanat city

Subject Areas : Urban and Regional Planning Studies

Marzieh Mogholi ¹ ( Associate Professor, Department of Geography, Larestan Branch, Islamic Azad University, Larestan, Iran )

Received: 2021-05-06 Accepted : 2022-04-30 Published : 2023-11-22

Keywords: ", Land use", Spatial information system", Remote sensing", Artificial neural network", Bavanat city",

Abstract :

Introduction: Today, due to the high value of land and the limitation of natural resources in the city of Bowanat, it is very important to predict land use changes in this city.Research Aime: determining the level of ability in modeling the localization phenomena in the city of Bowanat is one of the main goals of the research. Methodology: considering the practicality and development in this research of artificial neural networks for calibrating the model for the effective factors in the city. Bowanat has been used and ENVI and Arc GIS image processing software have been used.Methodology: Due to practicality and development in this research, artificial neural networks were used to calibrate the model for effective factors in the city of Bowanat, and ENVI and Arc GIS image processing software were used.Studied Areas: Bowanat city is located 240 km from Shiraz city with an area of 4992.2 square kilometers, which is located at 30.46 degrees north and 53.67 degrees east.Results: In the design of urban growth modeling in Bowanat between 2003 and 2018 using artificial neural network, it was observed that for two main reasons, the mentioned model is suitable for predicting land use changes in Bowanat city, the first reason being the ability of the CA model and the reason The second is to achieve a model for urban change and expansion by changing urban land use.Conclusion: After examining the findings, it was found that the road network is one of the most important factors in the growth and expansion of Bowanat city, and in addition, the percentage of land slope is one of the effective parameters in the modeling of Bowanat city.Keywords: Land use, Fuzzy Logic, Artificial neural network, Bavanat city.

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