Land Use Changes and Urban Development Simulation Using Neural Network and Markov Chain Cellular Automata

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AKBARI DAVOOD; Moradizadeh Mina; AKBARI MOHAMMAD

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Paper Information

Journal: Journal of Urban Research and Planning Year:2020 | Volume:10 | Issue:39 Page(s): 167-170

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Title

Land Use Changes and Urban Development Simulation Using Neural Network and Markov Chain Cellular Automata

Author(s)

AKBARI DAVOOD | Moradizadeh Mina | AKBARI MOHAMMAD | Issue Writer Certificate

Keywords

Land UseQ1

Satellite imageQ1

Neural network modelQ1

Markov chain auto-cellsQ1

Rasht cityQ2

Abstract

Nowadays, most Land Use changes occur in urban areas, due to the growing population in cities and villages and the desire to live in urban areas. Urban rapid development in recent decades has led to large changes in the cities around and has had many environmental impacts. In this research, we evaluated Land Use changes and urban development simulation using Satellite imagery and with Neural network model and Markov chain auto-cells in Rasht city. For this purpose, Landsat Satellite imageries were used from 2000, 2008 and 2017. After preprocessing the image and selecting the best band combination, the images were classified using the neural network method. Then the classified images were entered into the land changes model and predicted modeling output maps using the CA-MARCOVE method for 2027. The results obtained between 2000 and 2017 indicate that the area changes in urban lands, rice fields and forests were 9041. 88, 7841. 33 and 55. 78 hectares, respectively, which were positive in Rasht city and negative in rice fields and forest and the projection map for 2027 with the CA-MARCOVE method also indicated a significant increase in urban use of 14105. 04 hectares in the coming years. The results of this study indicate that the current trend of Land Use changes will lead to adverse environmental impacts and, consequently, irreversible socio-economic damage. Therefore, it is essential for the region planning and management unit to adopt a comprehensive approach to conduct future environmental problems and to curb the horizontal development of settlements in the area.

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APA: Copy

AKBARI, DAVOOD, Moradizadeh, Mina, & AKBARI, MOHAMMAD. (2020). Land Use Changes and Urban Development Simulation Using Neural Network and Markov Chain Cellular Automata. RESEARCH AND URBAN PLANNING, 10(39 ), 167-170. SID. https://sid.ir/paper/397951/en

Vancouver: Copy

AKBARI DAVOOD, Moradizadeh Mina, AKBARI MOHAMMAD. Land Use Changes and Urban Development Simulation Using Neural Network and Markov Chain Cellular Automata. RESEARCH AND URBAN PLANNING[Internet]. 2020;10(39 ):167-170. Available from: https://sid.ir/paper/397951/en

IEEE: Copy

DAVOOD AKBARI, Mina Moradizadeh, and MOHAMMAD AKBARI, “Land Use Changes and Urban Development Simulation Using Neural Network and Markov Chain Cellular Automata,” RESEARCH AND URBAN PLANNING, vol. 10, no. 39 , pp. 167–170, 2020, [Online]. Available: https://sid.ir/paper/397951/en

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