• DocumentCode
    513374
  • Title

    Research on driving factors of land subsidence with remote sensing technology

  • Author

    Lin, Zhu ; Huili, Gong ; Xiaojuan, Li ; Yaoming, Su ; Lingling, Jing

  • Author_Institution
    Coll. of Resource Environ. & Tourism, Capital Normal Univ., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Land subsidence is one of the environmental disasters induced by long-term over-exploitation of groundwater in Beijing. In order to keep sustainable social-economic development, this article analyzed the correlation between nature-human activities coupled factors and land subsidence on basis of remote sensing images and in-field data. At the same time, to obtain the principle driving factors of land surface sink, this paper chooses seven factors including the property of unsaturated zone, distribution of faults, precipitation, bedrock burying depth, build-up area, groundwater annual exploitation intensity and groundwater level, as natural-human coupled factors, which are relative main factors inducing land subsidence. And Principal Components Analysis (PCA) method is utilized to analyze the contribution of these factors to surface subsidence in Shun Yi district.
  • Keywords
    faulting; geomorphology; groundwater; principal component analysis; remote sensing; Beijing; China; Principal Component Analysis; Shun Yi district; bedrock burying depth; build-up area; driving factors; environmental disasters; fault distribution; groundwater annual exploitation; land subsidence; multi-scale resolution; natural-human coupled factors; remote sensing technology; social-economic development; Cultural differences; Educational institutions; Geology; Image analysis; Land surface; Large-scale systems; Principal component analysis; Remote sensing; Safety; Water resources; Principal Component Analysis; driving factors; land subsidence; multi-scale resolution remote sensing data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418098
  • Filename
    5418098