• DocumentCode
    3100576
  • Title

    Landscape Monitoring and Dynamic Evolution of Wetland Resources in Beijing

  • Author

    Gu Li ; Wang Xin-jie ; Gong Zhi-wen ; Wang Jin ; Xu Hao

  • Author_Institution
    Key Lab. for Silviculture & Conservation, Beijing Forestry Univ., Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It is very significant for urban development and urban wetland protection. Wetland, considered as the natural ecosystem and landscape style, has great resource potentiality and environmental function. For a long time, the change of wetland landscape pattern has been affected by human activity, and has changed the existing wetland function, and exerted influence on wetland environment. In this paper, the capital city of Beijing is for the study of wetland areas, and we used Markov Model to analysis the dynamic change and the trend evolution. Supported by RS and GIS technology, combined the achievements in previous researches and numerous field investigations, we used Landsat-TM images of 1978, 1974, 1991, 1996, 2001 and 2005 as the information source. Several landscape indices were used to evaluate the changes of landscape pattern. The results showed that Beijing wetlands recourses degraded significantly in the past three decade, the area had dropped by 54.0%, from 68491.63 hm2 in 1978 to 31416.31 hm2 in 2005; The patches of wetlands tended to be irregular, and the degree of fragmentation was increasing, thus the wetlands would be easy to cause regression, and its function was difficult to exert; The transition probability matrices at two primary states (1996 and 2005) were established. Then, the development and the future tendency of wetland landscape patterns are simulated and forecasted with Markov process. Most of the natural wetlands areas would be increasing and urban area decreasing, which showed urbanization process has great impact on wetland landscape pattern.
  • Keywords
    Markov processes; ecology; geographic information systems; remote sensing; AD 1974; AD 1978; AD 1991; AD 1996; AD 2001; AD 2005; Beijing; GIS technology; Landsat-TM image; Markov Model; RS technology; dynamic evolution; fragmentation degree; human activity; landscape monitoring; natural ecosystem; regression; trend evolution; urban development; urban wetland protection; wetland resources; Cities and towns; Degradation; Ecosystems; Geographic Information Systems; Humans; Monitoring; Predictive models; Protection; Remote sensing; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5515490
  • Filename
    5515490