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.
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