• DocumentCode
    2322822
  • Title

    A dynamic assessment of Ecological Footprint and Biocapacity in Guangzhou using RS and GIS

  • Author

    Zhou Tao ; Wang YunPeng ; Wang Fang

  • Author_Institution
    SKLOG, Chinese Acad. of Sci., Guangzhou, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The sustainable urban development research is a hot spot in science, economics, society etc. The Ecological Footprint (EF) method, which originally developed by Wackernagel and Rees in the mid-1990s, is a useful approach to detect the sustainability of the city. The Ecological Footprint (EF) is a measure of human demand on the bioproductive land area that is required to support the resource demands of a given population or specific activities. Comparing with Biocapacity (BC), which represents the bioproductive supply, EF provides a valuable tool to evaluate the carrying capacity of the earth and human appropriation of resources.
  • Keywords
    cellular automata; ecology; geographic information systems; geophysics computing; socio-economic effects; terrain mapping; time series; vegetation; AD 1997 to 2007; AD 2015; CA; China; EF method; GIS; Guangzhou; SPA; biocapacity dynamic assessment; bioproductive land area; cellular automata; ecological footprint method; future forecasting; geographic information system; land use change; land use type; remote sensing; set pair analysis; socio-economic system; time series; time-sequence calculation; tradition dynamic model; urban development; urban ecosystem; Anthropometry; Area measurement; Biological system modeling; Cities and towns; Earth; Economic forecasting; Geographic Information Systems; Humans; Predictive models; Remote sensing;
  • 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.2009.5137719
  • Filename
    5137719