• DocumentCode
    3364351
  • Title

    Application of airborne remote sensing to the surface sediment classification in a tidal flat

  • Author

    Ryu, Joo-Hyung ; Eom, Jin Ah ; Choi, Jong-Kuk

  • Author_Institution
    Korea Ocean Satellite Centre, Korea Ocean R&D Inst., Ansan, South Korea
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    942
  • Lastpage
    945
  • Abstract
    The relations of the channel distribution with the sedimentary facies were examined in Geunso-bay tidal flat, Korea. The tidal channel networks were extracted from a high spatial resolution aerial photograph, and for each sedimentary facies, the patterns of the channel distribution were compared in terms of the fractal analysis, channel density and distance from the channel. The channels in each sediment facies showed relatively constant meandering patterns, however, the density and the complexity were distinguishable. The tidal channels in the mud flat area represented complex and dendritic pattern with high density compared with those in the mixed or sand flat area. The results were applied to the adjustment of the sedimentary facies classification which has been generated from interpolation based on the field samples. We suggest that the feature of the channel networks should be applied to the surface sedimentary facies classification in the tidal flat.
  • Keywords
    fractals; oceanographic regions; photogrammetry; remote sensing; sand; sediments; tides; Geunso-bay tidal flat; Korea; airborne remote sensing; channel density; channel distribution; constant meandering patterns; dendritic pattern; fractal analysis; high spatial resolution aerial photograph; mud flat area; sand flat area; surface sedimentary facies classification; tidal channel networks; Fractals; Interpolation; Remote sensing; Sea surface; Sediments; Spatial resolution; Tides; Airborne remote sensing; Fractal analysis; Geunso-bay tidal flat; Surface sedimentary facies; Tidal channel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5653413
  • Filename
    5653413