An analysis on the urban spatial expansion of Hangzhou based on remote sensing

Qianhu Chen; Chudong Huang

doi:10.1117/12.837937

20 November 2009 An analysis on the urban spatial expansion of Hangzhou based on remote sensing

Qianhu Chen, Chudong Huang

Proceedings Volume 7510, 2009 International Conference on Optical Instruments and Technology: MEMS/NEMS Technology and Applications; 75100H (2009) https://doi.org/10.1117/12.837937
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

Abstract

Hangzhou is in the contradictory trouble of lacking and wasting land resources. Although there has been some research on urban spatial expansion, most of them are on the stage of expressing the concept because of lacking comprehensive and quantitative analysis technology. This paper introduces remote sensing techniques to analyze the urban spatial expansion of Hangzhou city. The research generally consists of 3 steps: 1) to retrieve the urban area in each year using synthetic methods of supervised classification and visual interpretation; 2) to compare the total area and the corresponding data of population and economy, and to analyze the intensivism of urban land use; 3) to analyze the urban spatial expansion of Hangzhou according to the intensivism. It is learned that the urban land use in Hangzhou from the year 1978 presents the characteristic of "circles". The urban area of present Hangzhou could be divided into 3 circles, representing the urban land use in sprout, developing and stabilizing and optimizing stages, and reflecting the real and overall process of space-growth in Hangzhou. Some suggestions for urban planning and urban land use are accordingly given in the following part.

Citation Download Citation

Qianhu Chen and Chudong Huang "An analysis on the urban spatial expansion of Hangzhou based on remote sensing", Proc. SPIE 7510, 2009 International Conference on Optical Instruments and Technology: MEMS/NEMS Technology and Applications, 75100H (20 November 2009); https://doi.org/10.1117/12.837937

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KEYWORDS

Remote sensing

Analytical research

Earth observing sensors

Landsat

Visualization

Data modeling

Infrared radiation

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