Urban Expansion Analysis Based on Spatial Variables Derived from multi-temporal remote sensing imagery
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.
Remote sensing urban expansion landscape metrics contagion GDPA algorithm Road network density
Yetao Yang Yingying Wang Qiming Zhou Jianya Gong
State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan Univer Hubei Provincial Bureau of Meteorology,China Department of Geography,Hong Kong Baptist University,Hong Kong State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan Univer
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）