• DocumentCode
    143122
  • Title

    The ecological environment assessment and repairing of Guilin Karst Scenery based on satellite remote sensing

  • Author

    Guoqing Zhou ; Xiao Chen ; Jingjin Huang ; Hongbo Yan

  • Author_Institution
    GuangXi Key Lab. for Spatial Inf. & Geomatics Eng., Guilin Univ. of Technol. Guilin, Guilin, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1666
  • Lastpage
    1669
  • Abstract
    This paper develops an ecological index (EI) model to assess ecological environment, which is more suitable for Guilin Karst Scenery, because of highlight a greater weight in land degradation, and a lower weight in biological abundance. The EI model considers the biological abundance index, vegetation coverage index, water density index, land degradation index, and environmental quality index, and these indexes are 55.7, 62.7, 69.8, 25.7, and 93, respectively. These indexes are taken into the EI model, and the ecological index is 60.3, which means that the karst ecological environment reaches a “Good” level, but not reaches an “Excellent” level. The results show that the City of Guilin, China presents a higher coverage of the vegetation, a richer biological diversity, and a suitable environment for human being survival. However, the results also indicate that the environmental problems have been arisen at the same time.
  • Keywords
    ecology; environmental monitoring (geophysics); geomorphology; land cover; remote sensing; vegetation; China; EI model; Guilin City; Guilin Karst scenery repair; biological abundance index; ecological environment assessment; ecological index model; environmental quality index; land degradation index; satellite remote sensing; vegetation coverage index; water density index; Biological system modeling; Cities and towns; Degradation; Indexes; Rivers; Vegetation mapping; Ecological Environment assessment; Guilin Karst area; TM images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946769
  • Filename
    6946769