• Title of article

    Ocean sand ridge signatures in the Bohai Sea observed by satellite ocean color and synthetic aperture radar measurements

  • Author/Authors

    Shi، نويسنده , , Wei and Wang، نويسنده , , Menghua and Li، نويسنده , , Xiaofeng and Pichel، نويسنده , , William G.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    9
  • From page
    1926
  • To page
    1934
  • Abstract
    Satellite measurements from Synthetic Aperture Radar (SAR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua platform are used to study the ocean sand ridges in the eastern Bohai Sea in China. Even though the imaging mechanisms for SAR and MODIS-Aqua remote sensing are different, the sand ridges are shown to have exactly the same patterns in images from both sensors. Therefore, the location, extension and coverage of the ocean sand ridges can be detected and cross-examined by both SAR and MODIS-Aqua observations. Satellite images show quite different sand ridge distribution pattern from the published bathymetry map (based on in situ data) that shows six sand ridges in the area. 10 finger-shaped sand ridges are identified from satellite observations. The tidal-current/sand-ridge interaction driven physical and optical changes are assessed and evaluated. The existence of sand ridges causes enhanced water diffuse attenuation coefficient Kd(490) and elevated normalized water-leaving radiance at the red and near-infrared (NIR) wavelengths. The sea surface over the sand ridges experiences significant seasonal variability of water turbidity and shows remarkable differences from nearby ocean regions. During winter, Kd(490) values are about 2–3 m− 1 over the ridges, while the maximum Kd(490) in the neighboring oceans is approximately 1.5 m− 1. In summer, the enhancement of the sea surface turbidity is less significant than that which occurs in winter.
  • Keywords
    Remote sensing , Ocean color , Ocean sand ridges , SAR
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2011
  • Journal title
    Remote Sensing of Environment
  • Record number

    1630825