Urban expansion analysis based on spatial variables derived from multi-temporal remote sensing imagery

Yetao Yang*, Yingying Wang, Qiming ZHOU, Jianya Gong

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number714412
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2008
EventGeoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics - Guangzhou, China
Duration: 28 Jun 200829 Jun 2008

Scopus Subject Areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Contagion
  • GDPA algorithm
  • Landscape metrics
  • Remote sensing
  • Road network density
  • Urban expansion


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