DocumentCode :
2091573
Title :
Urban Expansion and Driving Forces Analysis of Jinan Based on Remote Sensing and GIS Technology
Author :
Liu, Fang ; Zhang, Zengxiang ; Wei, Xianhu ; Wang, Xiao
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Urban expansion is a complex economic and social process and has been a hot topic not only in the management of sustainable development but also in the fields of remote sensing and geographic information science (GIS). Jinan is chosen to be the study area, as a fresh case, has not been systematically studied so far on the published literature especially its urban growth pattern and evolution prediction. Based on remote sensing and GIS technology, urban land of the year 1979, 1987, 1995, 2000, 2002, 2004 and 2008 are extracted from multi-original remote sensing data (Landsat MSS/ TM/ETM+, CBERS02B) and analyzed by GIS. Time scale of this research ranges from 1979 to 2008, and is divided into 6 periods (1979~1987, 1987~1995, 1995~2000, 2000~2002, 2002~2004, 2004~2008). (1) Preprocessing such as radiant calibration and geometry extract calibration was executed on the multi-source remote sensing data. (2) Based on the software platform MGE and ArcGIS, urban land was extracted. (3) The spatial-temporal regulation and pattern characteristics of Jinan from the year 1979 to 2008 were quantitatively described in details by quoting indices such as urban expansion intensity, centroid index and so on. (4) The driving forces of urban expansion were analyzed by the principal composition analysis (PCA) method. The systematic research of urban expansion pattern and driving forces analysis in Jinan could be beneficial to local planning system.
Keywords :
geographic information systems; geophysical signal processing; principal component analysis; remote sensing; GIS technology; Jinan; driving forces analysis; geographic information science; principal composition analysis; remote sensing; software platform; spatial-temporal regulation; urban expansion pattern; Calibration; Computational geometry; Data mining; Economic forecasting; Geographic Information Systems; Information science; Principal component analysis; Remote sensing; Satellites; Sustainable development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5301726
Filename :
5301726
Link To Document :
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