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Proceedings Paper

A hybrid model for analyzing urban land use change based on fuzzy reasoning and cellular automata
Author(s): Hao Wu; Yan Li; Qingqing Li; Xiaoling Chen
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Paper Abstract

Urban land use change is composed of a series of distinctive mutual transformation process, which has a dominant trend to transfer from non-urban construction land to urban construction land. However, the land use transition is not a direct change process from a certain land-use type to another one in a narrow area, but has a gradual process range between any two land use types in a wide region. In this paper, a hybrid model for analyzing urban land use change based on fuzzy reasoning and cellular automata is proposed to simulate the change process of land use type in the transition areas of urban and rural area. Then, four transition rules are discussed in detail based on the feature of land conversion behaviour in the contiguity areas of urban and rural area. An example of application research is experimented in Hankou Town through remote sensing imagines in 1993, 1998 and 2003. The results suggest that the first transition rule is more accurate than other three rules in the whole, by which the transition probability depends on by the edge pixels from 1993 to 1998. But different types of land use have own most compatible transition rule among those four rules.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983F (30 October 2009); doi: 10.1117/12.832398
Show Author Affiliations
Hao Wu, Wuhan Univ. of Technology (China)
Yan Li, Wuhan Univ. of Technology (China)
Qingqing Li, Wuhan Univ. of Technology (China)
Xiaoling Chen, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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