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Proceedings Paper

Landuse change model based on cellular automata of decision-making with grey situation
Author(s): Yaolin Liu; Molenaar Martin; Yanfang Liu; Jianhua He
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Paper Abstract

This paper studies landuse change model based on cellar automata of decision-making with grey situation. the urban land use dynamic change model is constructed based on decision-making with gray situation and hierarchical method as well as CA, in which the hierarchical method is used for dealing with the importance of among objects and factors. The arable land is used as constraint factor for transformation rules in the model, Lastly, the model has been tested by taking Qionghai city of Hainan province as an example, the result shows that the model is valid for simulating urban landuse change.

Paper Details

Date Published: 24 February 2004
PDF: 12 pages
Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.510896
Show Author Affiliations
Yaolin Liu, Wuhan Univ. (China)
Molenaar Martin, International Institute for Geo-Information Science and Earth Observation (United States)
Yanfang Liu, Wuhan Univ. (China)
Jianhua He, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 5232:
Remote Sensing for Agriculture, Ecosystems, and Hydrology V
Manfred Owe; Guido D'Urso; Jose F. Moreno; Alfonso Calera, Editor(s)

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