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Modeling Urban Landscape Dynamics Using Subpixel Fractions and Fuzzy Cellular Automata

Author

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  • Junmei Tang

    (Department of Geography and Environmental Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA)

Abstract

This study proposes a fuzzy cellular automata model based on the subpixel fractions extracted from multitemporal satellite images and discusses the relationship between sophisticated remote sensing techniques and an urban process model within the socioeconomic dimension. Accordingly, the major objectives of the present research are: (1) to incorporate the subpixel membership derived from remote sensing images into a fuzzy cellular automata model to simulate urban landscape change; (2) to standardize the quantitative method to incorporate subpixel information into a subcell cellular automata model and to find a better way to determine the parameters in the model's development, calibration, and validation. The comparison between the traditional cell-based model and subcell model suggests that the subpixel technique improves the accuracy of both urban mapping and modeling using medium resolution satellite images.

Suggested Citation

  • Junmei Tang, 2011. "Modeling Urban Landscape Dynamics Using Subpixel Fractions and Fuzzy Cellular Automata," Environment and Planning B, , vol. 38(5), pages 903-920, October.
    • Handle: RePEc:sae:envirb:v:38:y:2011:i:5:p:903-920
    DOI: 10.1068/b36087
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    References listed on IDEAS

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    1. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    2. Manfred M. Fischer & Arthur Getis, 1997. "Advances in Spatial Analysis," Advances in Spatial Science, in: Manfred M. Fischer & Arthur Getis (ed.), Recent Developments in Spatial Analysis, chapter 1, pages 1-12, Springer.
    3. Eric J. Heikkila & Ti-yan Shen & Kai-zhong Yang, 2003. "Fuzzy Urban Sets: Theory and Application to Desakota Regions in China," Working Paper 8617, USC Lusk Center for Real Estate.
    4. Liu, Xiaoping & Li, Xia & Shi, Xun & Wu, Shaokun & Liu, Tao, 2008. "Simulating complex urban development using kernel-based non-linear cellular automata," Ecological Modelling, Elsevier, vol. 211(1), pages 169-181.
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