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Proceedings Paper

A study on spatial structure of urban system in the Northern China Plain based on radar remote sensing image
Author(s): Xinyuan Wang; Li Wu; Changqing Mei; Zhengzheng Ruan; Li Liu; Enliang Bai
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Paper Abstract

Differing from optical remote sensing image, radar remote sensing image can be used to extract more useful information, and its application is becoming widespread in a variety of fields. Based on the central place theory, the spatial structure of urban system in the Northern China Plain is studied by using Radarsat ScanSAR mosaic image. The results show that: (1) Radarsat ScanSAR data are suitable for automatic extraction of building-up areas and has meaningful potential for urban geographic study. (2) The urban system in the Northern China Plain, which is deeply influenced by physical factors, especially hydrographic factors, can be divided into five categories: urban system of equal distance between central places on fluvial fan region at Mt.Taihangshan; hexagonal urban system in central part of Hebei flood plain; pentagonal urban system in the Yellow River fluvial fan; quadrilateral urban system in the vicinity of Huaihe River system; and scattered new towns in the places of rolling hills in central and southern areas of Shandong Province. (3) An evolution model of central place system from hexagon to pentagon and quadrangle influenced by river is suggested. (4) No matter hexagonal or pentagonal urban systems, this study has demonstrated that there are good relationship between the distance structure model of the central place and the real-life instance.

Paper Details

Date Published: 5 November 2008
PDF: 10 pages
Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71441M (5 November 2008); doi: 10.1117/12.812776
Show Author Affiliations
Xinyuan Wang, Anhui Normal Univ. (China)
Work Station of Anhui Province for Remote Sensing Archaeology (China)
Li Wu, Anhui Normal Univ. (China)
Work Station of Anhui Province for Remote Sensing Archaeology (China)
Changqing Mei, Anhui Normal Univ. (China)
Work Station of Anhui Province for Remote Sensing Archaeology (China)
Zhengzheng Ruan, Anhui Normal Univ. (China)
Work Station of Anhui Province for Remote Sensing Archaeology (China)
Li Liu, Anhui Normal Univ. (China)
Work Station of Anhui Province for Remote Sensing Archaeology (China)
Enliang Bai, Anhui Normal Univ. (China)
Work Station of Anhui Province for Remote Sensing Archaeology (China)


Published in SPIE Proceedings Vol. 7144:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Xinhao Wang, Editor(s)

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