Pattern and Process of Urbanization in the Yangtze Delta Based on DMSP/OLS Data

doi:10.6046/gtzyyg.2011.03.19

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Abstract

The lighted area, night light intensity, compounded night light index (CNLI) and total night light index (TNLI) of 16 cities in the Yangtze Delta were derived from the DMSP/OLS night light data in 2008, and their correlations with urbanization statistics were calculated respectively. Of these factors, the night light intensity proved to be an effective indicator for assessing the urbanization level. Construction land information of urban agglomerations in 1998, 2003 and 2008 was also extracted from DMSP/OLS night light data after the determination of the threshold value. Then the pattern and process of urbanization in the Yangtze Delta were analyzed and the expansion process of buildup area was categorized into several types. During the study period, urban agglomerations in the Yangtze Delta had three typical spatial expansion modes, of which the polygon mode could be observed in all the cities, the linear mode exists along main highways and railways, and the point mode occurs mainly around the less important cities. In spite of the imbalance of urbanization level within the study area, the regional differentiation was lessened gradually. According to the variation of the threshold value from 1998 to 2008, 11 cities, namely Zhenjiang, Changzhou, Yangzhou, Wuxi, Suzhou, Nantong, Huzhou, Jiaxing, Shaoxing, Zhoushan and Taizhou, belonged to the filling-in dominant type, Nanjing, Hangzhou and Shanghai belonged to the first-extension-then-filling-in dominant type, and Taizhou and Ningbo belonged to the first-filling-in-then-extension dominant type.

Keywords Band simulation Machine learning Support Vector Regression (SVR) China-Brazil Earth Resource Satellite (CBERS) CCD TM/ETM⁺

TP 75

Issue Date: 07 September 2011

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	YU Le
	CAO Kai
	WU Yang
	ZHANG Deng-rong

Cite this article:

YU Le,CAO Kai,WU Yang, et al. Pattern and Process of Urbanization in the Yangtze Delta Based on DMSP/OLS Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 106-112.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.03.19 OR https://www.gtzyyg.com/EN/Y2011/V23/I3/106

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