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Proceedings Paper

Analyzing suitability for urban expansion under rapid coastal urbanization with remote sensing and GIS techniques: a case study of Lianyungang, China
Author(s): Wenjun Zhao; Xiaodong Zhu; Anette Reenberg; Xiang Sun
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Paper Abstract

Beginning in 2000, Lianyungang's urbanization entered a period of rapid growth, spatially as well as economically. Rapid and intensive expansion of "construction land" imposed increasing pressures on regional environment. With the support of remote sensing data and GIS tools, this paper reports a "present-capacity-potential" integrated suitability analysis framework, in order to characterize and evaluate the suitability of urban expansion in Lianyungang. We found that during the rapid coastal urbanization process from 2000 to 2008, the characteristics of physical expansion in the study area were characterized by a combination of high-density expansion and sprawling development. The land use conversion driven by urbanization and industrialization has not occurred only in city districts, but also the surrounding areas that were spatially absorbed by urban growth, while closely associated and greatly influenced by the explosive growth of industrial establishment. The over-consumption of land resources in the areas with low environmental carrying capacity, particularly in the eastern coastal area, should be strictly controlled. Compared to conventional land suitability analysis methods, the proposed integrated approach could better review the potential environmental impacts of urban expansion and provide guidance for decision makers.

Paper Details

Date Published: 22 October 2010
PDF: 12 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78310G (22 October 2010); doi: 10.1117/12.864941
Show Author Affiliations
Wenjun Zhao, Nanjing Univ. (China)
Univ. of Copenhagen (Denmark)
Xiaodong Zhu, Nanjing Univ. (China)
Anette Reenberg, Univ. of Copenhagen (Denmark)
Xiang Sun, Nanjing Univ. (China)

Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)

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