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Proceedings Paper

Urban expansion analysis based on spatial variables derived from multi-temporal remote sensing imagery
Author(s): Yetao Yang; Yingying Wang; Qiming Zhou; Jianya Gong
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Paper Abstract

In this research, we focus on the spatial pattern of the urban expansion. The spatial pattern of the urban area can be quantitatively delineated by many spatial variables. Numerous spatial variables have been examined to evaluate their applicability to the urban change. These metrics include road network accessibility, built-up density and some landscape metrics. Remote sensing technology was used for monitoring dynamic urban change. Multi-temporal Landsat TM images (1988, 1991, 1994, 1997, 2000, and 2002) were used for the change detection using post-classification comparison method. The road network and its change were extracted from multitemporal images using the GDPA algorithm. Contagion, one of the landscape metrics, was selected, because it it can describe the heterogeneity of the suburban area, where the landuse change is most likely to happen. Analysis has also been conducted to identify the relationship between urban change and these spatial variables.

Paper Details

Date Published: 5 November 2008
PDF: 9 pages
Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 714412 (5 November 2008); doi: 10.1117/12.812733
Show Author Affiliations
Yetao Yang, Wuhan Univ. (China)
China Univ. of Geosciences (China)
Yingying Wang, Hubei Provincial Meteorological Bureau (China)
Qiming Zhou, Hong Kong Baptist Univ. (Hong Kong, China)
Jianya Gong, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7144:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Xinhao Wang, Editor(s)

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