• DocumentCode
    513364
  • Title

    Fast extracting and change detection of dammed lakes using highresolution SAR images: A case study of Tangjiashan Dammed Lake

  • Author

    Shao, Yun ; Wang, Shiang ; Tian, Wei ; Gong, Huaze ; Zhang, Fengli

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Wenchuan Earthquake has caused many huge landslides in the rivers in Sichuan Province. Synthetic Aperture Radar (SAR) technology played an irreplaceable role in rapid response to Wenchuan Earthquake monitoring and damage assessment. In this paper, Tangjiashan Dammed Lake was taken as a case study area for fast extracting and change detection with continuously acquired multi-temporal high-resolution SAR images. By June 12, 2008, we had identified dozens of dammed lakes in the area heavily affected by the Wenchuan Earthquake using high-resolution SAR images. In order to make a scientific evaluation of the disaster situation and provide efficient and instantaneous rescue action in the future, an effective method was developed for rapid extraction and change detection of dammed lakes.
  • Keywords
    dams; earthquakes; geomorphology; geophysical image processing; lakes; radar imaging; synthetic aperture radar; AD 2008 06 12; China; Sichuan Province; Tangjiashan Dammed Lake; Wenchuan earthquake; change detection; disaster situation; fast extraction; high-resolution SAR images; landslides; multitemporal SAR images; rescue action; rivers; synthetic aperture radar; Backscatter; Data mining; Earthquakes; Lakes; Remote monitoring; Remote sensing; Rivers; Satellite broadcasting; Synthetic aperture radar; Terrain factors; Tangjiashan Dammed Lake; Wenchuan Earthquake; change detection; fast extracting; high-resolution SAR;
  • 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.2009.5418084
  • Filename
    5418084