TM image and nighttime light data to monitoring regional urban expansion：A case study of Zhejiang Province
CHEN Zheng1, HU Deyong1, ZENG Wenhua2, DENG Lei1
1. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
2. Zhejiang Surveying and Mapping Data Archives, Hangzhou 310012, China
Acquiring urban information and dynamically monitoring urban expansion forms constitute important parts of remote sensing technique in the field of resource and environment application. As a coastal province, Zhejiang has experienced a rapid economic development in the past 20 years. At the same time, its urban expansion phenomenon is significant. With Zhejiang Province as the study area, the authors obtained the spatial distribution information of urban land from Landsat TM data by using the CART algorithm. Under the condition of getting accurate classification results, the urban expansion spatial-temporal features of Zhejiang Province from 1995 to 2010 were analyzed.Applying CART to extracting urban information from TM data and optimized with NTL is an effective and adaptable method for monitoring regional urban expansion.During the past 15 years, the expansion acceleration of most cities is greater than zero, except for Dongtou, Qingyuan, Wencheng, Yunhe, Lanxi, Longquan and Shaoxing. From 1995 to 2010, Xiaoshan, Yuhang, Ningbo remained the first three cities in this aspect.It is shown that the urbanization levels of various cities are significantly different from each other. The urbanization level of coastal cities and cities in the terrain flat area is higher than that of the non-coastal cities and cities in the complicated topography area. As a result, the first three large coastal cities, which are Hangzhou, Shaoxing and Wenzhou, and the zone of small and medium sized cities in the non-costal area around Jinhua have been developed.
陈征, 胡德勇, 曾文华, 邓磊. 基于TM图像和夜间灯光数据的区域城镇扩张监测——以浙江省为例[J]. 国土资源遥感, 2014, 26(1): 83-89.
CHEN Zheng, HU Deyong, ZENG Wenhua, DENG Lei. TM image and nighttime light data to monitoring regional urban expansion：A case study of Zhejiang Province. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 83-89.
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2014, Vol. 26 
