• DocumentCode
    2438080
  • Title

    Ecological sensitivity analysis in Wuhan city based on RS and GIS

  • Author

    Gao, Chonghui ; Zhang, Jun

  • Author_Institution
    Key Lab. of Geol. Eng. Centre of Guangxi Province, Guilin Univ. of Technol., Guilin, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    With the development of society and technology, human beings on the natural environment sphere of influence and strength are constantly increasing. It causes more and more regional ecological environment problems. To protect and improve the ecological environment has become the major issues which the most world countries and areas paid more and more attention to. Ecological sensitivity analysis is the ecological strategy which the world countries and areas widely adopted currently. The spatial ecological sensitivity distribution had been divided in Wuhan city based on RS and GIS; and the distribution was classified into five different grades (best sensitivity region, better sensitivity region, sensitivity region, weaker sensitivity region, non-sensitivity region). On this basis, the corresponding protecting policies were put forward, thus the paper provided scientific foundation for rational urban industry distribution and regional eco-environment protection in future.
  • Keywords
    ecology; geographic information systems; remote sensing; sensitivity analysis; China; GIS; RS; Wuhan city; ecological sensitivity analysis; ecological strategy; protecting policies; rational urban industry distribution; regional ecoenvironment protection; regional ecological environment; spatial ecological sensitivity distribution; Cities and towns; Geographic Information Systems; Humans; Planning; Rivers; Sensitivity analysis; Ecological sensitivity analysis; GIS; RS; Wuhan city;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964262
  • Filename
    5964262