• 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