Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models
AbstractIn recent years, urban areas have been expanding rapidly in the world, especially in developing countries. With this rapid urban growth, several environmental and social problems have appeared. Better understanding of land use and land cover (LULC) change will facilitate urban planning and constrain these potential problems. As one of the four municipalities in China, Tianjin has experienced rapid urbanization and such trend is expected to continue. Relying on remote sensing (RS) and geographical information system (GIS) tools, this study investigates LULC change in Tianjin city. First, we used RS to generate classification maps for 1995, 2005, and 2015. Then, simulation models were applied to evaluate the LULC changes. Analysis of the 1995, 2005, and 2015 LULC maps shows that more than 10% of the cropland areas were transformed into built-up areas. Finally, by employing the Markov model and cellular automata (CA) model, the LULC in 2025 and 2035 were simulated and forecasted. Our analysis contributes to the understanding of the development process in the Tianjin area, which will facilitate future planning, as well as constraining the potential negative consequences brought by future LULC changes. View Full-Text
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Wang, R.; Murayama, Y. Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models. ISPRS Int. J. Geo-Inf. 2017, 6, 150.
Wang R, Murayama Y. Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models. ISPRS International Journal of Geo-Information. 2017; 6(5):150.Chicago/Turabian Style
Wang, Ruci; Murayama, Yuji. 2017. "Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models." ISPRS Int. J. Geo-Inf. 6, no. 5: 150.
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