Advances in Remote Sensing Research on Urban Impervious Surface
REN Jin-hua1, WU Shao-hua1,2, ZHOU Sheng-lu1, LIN Chen2,3
1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;
2. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China;
3. Nanjing Institute of Geography and Limnology, Chinese Academy of Science, Nanjing 210008, China
Abstract Impervious surface, as an important indicator to measure the urbanization degree and environmental quality, has attracted more and more attention. The magnitude, location, geometry, spatial pattern of impervious surfaces and the ratio of perviousness-imperviousness significantly affect regional eco-environment changes. Extracting and mapping impervious surface by means of multiple remote sensing data and analytical methods have constituted a hot topic in these research directions. In this paper, impervious surface extraction methods are summarized from traditional method of remote sensing, extraction based on spectrum and geometrical features and artificial intelligence algorithms, then the principles, characteristics, application fields are described, and finally the future prospects are pointed out.
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2012,
Vol. 24
