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Study on Land Use/Cover Change and Urban Growth Modeling through Cellular Automata and Genetic Algorithm in Mashhad

Study on Land Use/Cover Change and Urban Growth Modeling through Cellular Automata and Genetic Algorithm in Mashhad

Hamed Bidel[1]*,

hamedbidel [@] gmail.com

Ali Asghar Alesheikh2,

Nematollah Khorasani3,

Alieh Hajizadeh4

Abstract

Land use has always been one of the most important indicators through which man affects his surrounding environment. Land use change is a man-made intervention whereas vegetation change is a natural phenomenon. Generally, climate change and technological and economic factors are the main determinants of the change at spatial and temporal scales.. Each study may vary depending on its particular need. For example, any change from urban use/cover is primarily treated as urban development. The present study, which is based on theoretical and practical results of earlier research, uses technology and techniques such as remote sensing cellular automata and genetic algorithms to study changes in the land use/cover in the city of Mashhad. land use/cover changes are investigated in Mashhad for 3 periods or 4 years. The development of Mashhad in 2001 and 2014 are calibrated with cellular automata modeling and simulation parameters using genetic algorithm. Based on careful assessment model has been developed to achieve 87.4 percent accuracy.

Keywords: Land use change, Urban growth, Modeling, Cellular Automata, Mashhad

۱- M.Sc. / Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran. (Corresponding Author)

۲- Full Professor / Department of GIS, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran.

۳- Full Professor /  Department of Environment, Faculty of Natural Resource, University of Tehran,Tehran, Iran.

۴- M.Sc. Student / Department Of Computer Engineering – Artificial Intelligence, Faculty of Engineering, Ferdowsi University, Mashhad, Iran.

Journal of Environmental Science and Technology (JEST), Volume 19, Issue 1.

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