• DocumentCode
    2144472
  • Title

    Ecological footprint research based on RS and GIS in Hexi Corridor, China

  • Author

    Chang, Bin ; Xiong, Liya

  • Author_Institution
    Inst. of Geogr. Sci., Chinese Acad. of Sci., Beijing
  • Volume
    7
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    4643
  • Abstract
    The ecological footprint analysis is a concise quantitative method of the natural capital consumption measurement by tracking the footprint of energy sources and resources consumption in a region. This approach provides an estimate for the necessary land area to sustain current consumption levels of resources within a given population, and compares with the area of biologically productive land available. It can judge if the consumption pattern is sustainable. This paper, applying the methods of questionnaire and remote sensing image analysis, seeks to explore a modified method for ecological footprint analysis. The new method applies questionnaire in ecological footprint and does remote sensing image analysis in ecological capacity. It judges the ecological status by comparing the above results. In addition, this scheme predicts the ecological footprint based on the consumption and population models and the ecological capacity by Cellular Automata. Furthermore, future ecological status can be judged by comparing the ecological footprint with the ecological capacity
  • Keywords
    cellular automata; ecology; energy resources; geographic information systems; geophysical signal processing; image processing; natural resources; terrain mapping; Cellular Automata; China; GIS; Hexi Corridor; RS; biologically productive land; ecological footprint research; energy consumption pattern; energy resources consumption; natural capital consumption measurement; population models; remote sensing image analysis; Biological system modeling; Content addressable storage; Economic forecasting; Energy measurement; Gain measurement; Geographic Information Systems; Image analysis; Power generation economics; Predictive models; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1370192
  • Filename
    1370192