• DocumentCode
    557767
  • Title

    The retrieval and analysis of sea surface suspended sediment movement based on multi-source remote sensing data

  • Author

    Cai, Yin

  • Author_Institution
    Sediment Projects Key Lab. of Transp. Ind., Tianjin Res. Inst. for Water Transp. Eng., Tianjin, China
  • Volume
    3
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1699
  • Lastpage
    1702
  • Abstract
    A wide range of suspended sediment concentration can be obtained by satellite remote sensing data. According to multi-temporal remote sensing data and quasi-simultaneously surface sediment data measured, while by the mean of the wind field data from QuickSCAT satellite, there is a research on surface suspended sediment distribution and movement trends of Dalian Taiping Bay. The result indicated that the average sand concentration of Taiping Bay is not large, sediment movement is not active, and the trend of near-shore sediment transportation is inconspicuous. In addition, the sediment discharged from Liao River in the north of Liaodong Bay has less impact on Taiping Bay.
  • Keywords
    geophysical image processing; oceanographic regions; oceanographic techniques; remote sensing; rivers; sand; sediments; Dalian Taiping Bay; Liao River; Liaodong Bay; QuickSCAT satellite; average sand concentration; multisource remote sensing data; multitemporal remote sensing data; near-shore sediment transportation; quasisimultaneously surface sediment data; satellite remote sensing data; sea surface suspended sediment movement analysis; sea surface suspended sediment movement retrieval; surface suspended sediment distribution; suspended sediment concentration; wind field data; Fitting; Remote sensing; Satellites; Sea measurements; Sea surface; Sediments; Wind; Dalian; Landsat TM; QuickSCAT; multi-source; remote sensing; suspended sediment concentration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100461
  • Filename
    6100461