DocumentCode
2005308
Title
Characteristics of urban expansion in the northeastern traditional industry base during 1980s–2008: An analysis based on remote sensing images
Author
Qingke We ; Zhang, Zengxiang ; Liu, Fang ; Xu, Jinyong ; Zuo, Lijun ; Hu, Shunguang
Author_Institution
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
5
Abstract
Along with the central government launched the plan to revitalize the northeastern traditional industry base in recent years, the urban size, shape, and urban cluster systems in this region have undergone tremendous changes, which impact the residents´ lifestyle and their life quality directly. Thus the awareness of the process of urban expansion is of great significance for healthy and sustainable development. Landsat TM/ETM and CBERS CCD images during 1980s-2008 are used to trace the long term urban expansion of 7 major cities in the northeastern traditional industry base, involving three provincial capital cities(Shenyang, Changchun and Harbin), an open coastal cities(Dalian), a heavy industrial city(Qiqihar) and two resource-based industrial cities(Jilin and Fuxin). Urban expansion intensity and fractal dimension are calculated to indicate the expansion process characteristics. The impact of urban expansion on the other land nearby was quantified.
Keywords
sustainable development; terrain mapping; town and country planning; AD 1980 to 2008; CBERS CCD images; Changchun city; China; Dalian city; Fuxin city; Harbin city; Jilin city; Landsat TM/ETM images; Qiqihar city; Shenyang city; coastal cities; northeastern traditional industry base area; remote sensing images; sustainable development; urban cluster systems; urban expansion; Cities and towns; Geographic Information Systems; Government; Industries; Monitoring; Remote sensing; Satellites; northeastern traditional industry base; remote sensing; urban expansion process;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2010 18th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7301-4
Type
conf
DOI
10.1109/GEOINFORMATICS.2010.5568156
Filename
5568156
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