• DocumentCode
    1982899
  • Title

    Study on Ecological Risk Remote Sensing Assessment Model under Urban Expansion

  • Author

    Shi Xiaoxia

  • Author_Institution
    Beijing Key Lab. of Logistics Syst. & Technol., Beijing Wuzi Univ., Beijing, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper is to study the harmonious development relationship of urbanization and regional eco-environment. Then the basic theory can be supplied to urbanization sustainable development and decision-making is supplied to city governor. In this study, the spatial mechanism between urban expansion and ecological risk is analyzed to determined the source of spatial ecological risks, risk drivers, risk resistance and risk characterization factors. The risk drivers are determined to be urban land expansion on the bottom, human economic activities in the middle as well as thermal space environment on the top-level;Risk drivers were identified as the integrity action of urban construction land patch area, patch shape, patch density, patch geometric gravity center, and landscape overall role; Risk resistance were identified as the integrity action of the stability of ecological landscape unit itself, the stability of neighborhood units and terrain slope; meanwhile ecological risk remote sensing characterization were identified as he integrity action of leaf area index and optical vegetation coverage. Based on the combined work mechanism of risk drivers, risk resistance and risk characterization factors, Spatial Ecological Risk Assessment Remote Sensing Model(SERA) was established Selangor, Kuala Lumpur and Putrajaya in Malaysia as example and combined the correlation data and the model. The results show that the ecological risk in the study area is still not high and accord with the develop rule between urbanization and ecological environment. So SERS model can make a true assessment for region ecological risk from urbanization and satisfy the need of this type study. The model supplies scientific theory for urban governor.
  • Keywords
    ecology; geophysical techniques; risk management; sustainable development; vegetation mapping; Kuala Lumpur; Malaysia; Putrajaya; Selangor; Spatial Ecological Risk Assessment remote sensing model; ecological risk remote sensing assessment model; leaf area index; optical vegetation coverage; patch density; patch geometric gravity center; patch shape; risk characterization factor; risk drivers; risk resistance factor; sustainable development; urban construction land patch area; urban expansion; Biological system modeling; Driver circuits; Immune system; Remote sensing; Risk management; Stability analysis; Thermal stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566547
  • Filename
    5566547