• DocumentCode
    2459934
  • Title

    RS and GIS-based eco-environmental vulnerability evaluation in Dongjiangyuan area

  • Author

    Zhou, Xuelin ; Fan, Zhewen

  • Author_Institution
    Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4385
  • Lastpage
    4388
  • Abstract
    Focus on major eco-environment problems in Dongjiangyuan area, the paper selected twelve evaluation indexes (including terrain, climate, soil, vegetation index, land use type, socio-economic data) were set up based on RS and GIS technology. Using 100 m×100 m real area as basic unit, the spatial principal components analysis method is apply to calculate the eco-environment synthesis exponent according to the weight of some indexes. The eco-environment vulnerability index (EVI) is produce to evaluate the eco-environment fragile status during 1985-2005. Results show that: (1) The spatial distribution of EVI of Dongjiangyuan area was significantly differently. (2) The high EVI zone was mainly located in northern of Dongjiangyuan area such as Chengjiang village, Xinshan village, Gaoyunshan village, Sanbaishan village, Hezi village.et al. (3) The average EVI of Dongjiangyuan area was insignificantly difference in recent 20 years.
  • Keywords
    data analysis; geographic information systems; principal component analysis; soil; terrain mapping; vegetation mapping; AD 1985 to 2005; Chengjiang village; China; Dongjiangyuan area; GIS-based eco-environmental vulnerability evaluation; Gaoyunshan village; Hezi village; Sanbaishan village; Xinshan village; climatic condition; eco-environment synthesis; eco-environment vulnerability index; high EVI zone; land use data; remote sensing-based eco-environmental vulnerability evaluation; socio-economic data; spatial principal component analysis method; terrain data; vegetation index; Geographic Information Systems; Indexes; Lakes; Principal component analysis; Remote sensing; Soil; Dongjiangyuan area; GIS technology; eco-environmental vulnerability evaluation; spatial principal component analysis;
  • 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.2011.5965303
  • Filename
    5965303