• DocumentCode
    1455830
  • Title

    An algorithm for determining the radiance reflected from the rough sea surface using MODIS-N satellite radiometer data

  • Author

    Shifrin, Kusiel S.

  • Author_Institution
    Coll. of Oceanic & Atmos. Sci., Oregon State Univ., Corvallis, OR, USA
  • Volume
    39
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    677
  • Lastpage
    681
  • Abstract
    A new algorithm is suggested for determining the radiance Br (θ, φ) reflected from the rough sea surface. The knowledge of Br(θ, φ) is needed for excluding the reflected solar radiation from the signal at the space receiver. Information on the reflected radiance is also required when estimating the state of the sea surface from space. The information (on reflected radiance) is important for problems such as estimating the chlorophyll concentration in sea water. The suggested algorithm was constructed based on direct measurements of the radiance coefficient ρ published in V. G. Akimov ei al. (1993) and J. A Shaw et al. (1997). The experimental results show that the slope distribution of sea surface elements depends not only on the wind speed near the sea surface but also on the stability of the lower part of the marine atmospheric boundary layer. It is shown that the failure to account for this effect causes an error of ±30% when estimating Br(θ, φ)
  • Keywords
    oceanographic techniques; remote sensing; IR; MODIS-N; algorithm; atmospheric boundary layer; atmospheric correction; chlorophyll; color; infrared; light reflection; measurement technique; ocean colour; radiance coefficient; reflected radiance; rough sea surface; satellite remote sensing; slope distribution; visible; Geometrical optics; Optical reflection; Optical surface waves; Photometry; Radiometry; Rough surfaces; Satellite broadcasting; Sea measurements; Sea surface; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.911124
  • Filename
    911124