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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2012, Vol. 13 Issue (2): 146-158    DOI: 10.1631/jzus.A1100034
Environmental Engineering     
Monitoring rapid urban expansion using a multi-temporal RGB-impervious surface model
Amirreza Shahtahmassebi, Zhou-lu Yu, Ke Wang, Hong-wei Xu, Jin-song Deng, Jia-dan Li, Rui-sen Luo, Jing Wu, Nathan Moore
Institute of Agriculture Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310029, China; Department of Geography, Michigan State University, MI 48823, USA
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Abstract  In this paper, we developed a novel method of combining remote sensing tools at the sub-pixel level for accurate identification of impervious surface time series changes. We examined the use of the red-green-blue impervious surface model (RGB-IS) in detecting time series internal modification of urban regions by integrating Landsat data collected over four different periods between 1987 and 2009 (i.e., 1987, 2000, 2002, and 2009). The performance of this approach was compared with two conventional methods, namely standard RGB-normalized difference vegetation index (NDVI) and post-classification technique. In contrast to conventional techniques, RGB-IS could monitor between-class changes, within-class changes, and location of these modifications. The proposed method was independent of seasonal changes and was also able to serve as a useful alternative for quick mapping growth hotspots and updating transportation corridor map. The results also showed that Cixi County, Zhejiang Province, China experienced tremendous impervious surface changes, especially along the corridors of newly constructed highways and around urban areas over the past 22 years.

Key wordsRed-green-blue impervious surface model (RGB-IS)      Multi-temporal      Impervious surface      Landsat     
Received: 15 February 2011      Published: 18 January 2012
CLC:  TP79  
Cite this article:

Amirreza Shahtahmassebi, Zhou-lu Yu, Ke Wang, Hong-wei Xu, Jin-song Deng, Jia-dan Li, Rui-sen Luo, Jing Wu, Nathan Moore. Monitoring rapid urban expansion using a multi-temporal RGB-impervious surface model. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(2): 146-158.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1100034     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2012/V13/I2/146

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