• DocumentCode
    2236169
  • Title

    Area change detection in river mouthbars at the Mekong River delta using Synthetic Aperture Radar (SAR) data

  • Author

    Tanaka, Akiko ; Uehara, Katsuto ; Tamura, Toru ; Saito, Yoshiki

  • Author_Institution
    Geol. Survey of Japan, AIST, Tsukuba, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4911
  • Lastpage
    4914
  • Abstract
    We propose the use of SAR (Synthetic Aperture Radar) backscatter intensity data as a tool for monitoring coast. ALOS (Advanced Land Observing Satellite) PALSAR (Phased Array type L-band SAR) data are analyzed to investigate the temporal changes in shape and area of mouthbars in the Mekong River distributaries. River mouthbars with strong backscatter, which is surrounded by the water, are successfully extracted using a histogram thresholding algorithm. Estimated areas of river mouthbars gradually increase on an annual time scale. Seasonal variations of areas were also recognized, and they appear to be related to the mean monthly sea level, discharge, and rainfall. Moreover, it is highly likely that tidal height at the time of SAR data acquisition clearly reflect the area of river mouthbar by examining over half-day intervals for ascending and descending images. This study shows that if appropriately calibrated, the SAR data is useful to quantifying long-term changes in river mouthbar.
  • Keywords
    hydrological techniques; rivers; sea level; synthetic aperture radar; ALOS PALSAR data; Advanced Land Observing Satellite; Mekong river delta; Phased Array type L-band SAR; SAR backscatter intensity data; SAR data acquisition; area change detection; histogram thresholding algorithm; mean monthly sea level; monitoring coast; river mouthbars; synthetic aperture radar; Backscatter; Monitoring; Rivers; Satellites; Sea measurements; Sediments; Synthetic aperture radar; PALSAR; SAR (synthetic aperture radar); image classification; tides;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352511
  • Filename
    6352511