• DocumentCode
    2707364
  • Title

    InSAR detection of residual settlement of ocean reclamation areas in Shenzhen, China

  • Author

    Zhao, Qing ; Lin, Hui ; Chen, Fulong ; Gao, Wei

  • Author_Institution
    Key Lab. of Geogr. Inf. Sci., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Shenzhen, is the third busiest container port in China. As a newly developed city, Shenzhen is undergoing tremendous change in landscape. The once hilly areas have been toppled over to make land. Reclaimed land is built to harbors, industry parks, and residential developments. However, ground settlement is a common phenomenon in reclaimed land, and mostly caused by settling of unconsolidated basements. This study uses Permanent Scatterer Interferometry (PSI) technologies to investigate ground settlement in the reclamation areas. A time series of ENVISAT ASAR images from May 2006 to September 2010 are used to generate ground settlement fields in the study area. Based on the ground deformation rate maps derived from ASAR images, thematic maps of ground settlement zones are generated. In general, the ground settlement zones are mainly distributed along the reclaimed harbor areas. The points and zones with great ground settlement values in the study area are located.
  • Keywords
    cartography; interferometry; radar imaging; synthetic aperture radar; time series; China; ENVISAT ASAR image; InSAR detection; ground deformation rate maps; ocean reclamation area; permanent scatterer interferometry technology; residual settlement detection; synthetic aperture radar; time series; Cities and towns; Distributed databases; Geology; Industries; Interferometry; Sea measurements; Time series analysis; ASAR images; Shenzhen port; ground settlement; ocean reclamation engineering project; persistent scatterer interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980766
  • Filename
    5980766