• DocumentCode
    2322090
  • Title

    Study on the effects of Grand Canal on city pattern change of Hangzhou based on Remote Sensing

  • Author

    Zhu, Chunhua ; Nie, Yueping

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the past thousands of years, the Grand Canal not only promoted political, economic and cultural development in China, but also formed the pattern of cities which lie along the canal called ldquoCanal Citiesrdquo. To comprehend the relationship between the city and the canal can benefit the urban planning and development. Remote Sensing and Geographical Information System technology enable us to analyze the spatio-temporal change effectively. In this study, we employ aero photographs taken in 1955 and SPOT5 images taken in 2002 as data resources. We integrates Wallis filter, visual and object-oriented interpretation, and buffer analysis. Proper models and indices were adopted for presenting the concrete city pattern change characteristics in both temporal and spatial scale. The results show that there is strong correlation between the canal and the city, and that the city development was guided by the Grand Canal. The information is necessary for the urban planning, management and policy-making, and can be used for reference by other ldquoCanal Citiesrdquo.
  • Keywords
    geographic information systems; geophysics computing; image classification; image registration; remote sensing; AD 1955; AD 2002; China; Geographical Information System technology; Grand Canal Cities; Hangzhou; SPOT5 images; Wallis filter; aero photographs; buffer analysis; concrete city pattern change characteristics; data resources; image classification; image registration; object-oriented interpretation; remote sensing; spatio-temporal change; urban development; urban management; urban planning; visual interpretation; Cities and towns; Concrete; Cultural differences; Filters; Information analysis; Information systems; Irrigation; Object oriented modeling; Remote sensing; Urban planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137675
  • Filename
    5137675