• DocumentCode
    2221777
  • Title

    Tidal flat reflectance model accommodating tidal conditions using Geostationary Ocean Color Imager (GOCI): Preliminary results

  • Author

    Park, Wook ; Shin, Ji-Sun ; Lee, Yoon-Kyung ; Won, Joong-Sun

  • Author_Institution
    Dept. of Earth Syst. Sci., Yonsei Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7629
  • Lastpage
    7631
  • Abstract
    The objective of this study is to develop a tidal flat reflectance model according to tidal conditions. Tidal flat reflectance greatly varies with tidal conditions twice a day that causes changes in water contents along with exposure time, remnant water, etc. It is difficult to retrieve sediment grain size from optical reflectance alone without correcting the tidal condition effects. The Geostationary Ocean Color Imager (GOCI) is the first ocean color sensor mounted on the geostationary satellite, and provides images 8 times a day. A preliminary tidal flat reflectance model was obtained from 72 cloud free GOCI images in March, 2011. Two reflectance models were found to be minimally required for mud and mixed flats, while the differences between mixed and sand flats were insignificant. The models accommodate tidal conditions of flood or ebb tide. The results lead to a conclusion that the remnant surface water on the recently exposed tidal flats plays a significant role in influencing the optical reflectance. The surface reflectance increases gradually during the ebb tide, while the slope of decrease is steep during the flood tide.
  • Keywords
    oceanographic techniques; tides; underwater optics; GOCI; geostationary ocean color imager; tidal conditions; tidal flat reflectance model; Grain size; Reflectivity; Satellites; Sea surface; Sediments; Tides; GOCI; Optical reflectance model; sediment type; tidal flats;
  • 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.2012.6351861
  • Filename
    6351861