• DocumentCode
    2459980
  • Title

    Sensitivity analysis of region landslide vegetation factor based on the remote sensing and geography information system

  • Author

    Cao, Hongyang ; Xu, Yingjiao ; Bian, Yadong

  • Author_Institution
    Dept. of Prospecting Tech., Shijiazhuang Univ. of Econ., Shijiazhuang, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4397
  • Lastpage
    4399
  • Abstract
    Influence factors sensitivity analysis is a key problem for region landslide field, vegetation coverage is an important one of all factors. The type of vegetation coverage was classified by remote sensing supervised classification technology, and landslides were interpreted by the three dimension image of remote sensing. The internal relation between landslides and the type of vegetation coverage was revealed by spatial analysis method of geography information system. Contribution rate of every coverage factor for the landslide was obtained. The conclusion gives the support for the policy of conversion of cropland to forest, and lays a foundation for the research of region landslides prediction. It shows that the technology of remote sensing and geography information system have a special advantage for the sensitivity analysis of region landslides influence factors.
  • Keywords
    geographic information systems; geomorphology; vegetation mapping; dimension image; geography information system; influence factors sensitivity analysis; region landslide field; region landslide vegetation; region landslides influence factors; region landslides prediction; remote sensing supervised classification technology; vegetation coverage; Geographic Information Systems; Geography; Information systems; Remote sensing; Sensitivity analysis; Terrain factors; Vegetation mapping; geography information system; region landslide; remote sensing; vegetation factors;
  • 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.2011.5965306
  • Filename
    5965306