• DocumentCode
    26273
  • Title

    A Study of Sea Surface Wind Vector Estimation From Near-Nadiral Cross-Track-Scanned Backscatter Data

  • Author

    Nekrasov, A. ; Ouellette, Jacob ; Majurec, Ninoslav ; Johnson, Joel T.

  • Author_Institution
    ElectroScience Lab., Ohio State Univ., Columbus, OH, USA
  • Volume
    10
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    1503
  • Lastpage
    1506
  • Abstract
    The possibility of recovering sea surface wind vectors from near-nadiral cross-track Ku- or Ka-band backscatter measurements using a measuring geometry similar to that of the Airborne Precipitation Radar 2 is discussed. The cross-track scanning geometry includes diversity in both elevation and azimuth angles, allowing the possibility of both wind speed and direction retrieval to within a 180 ° direction ambiguity. A simulation study of wind vector retrieval accuracy is performed based on the use of the “cutoff-invariant two-scale model” of sea surface backscatter returns. The results show that a maximum likelihood retrieval approach utilizing data from the cross-track scan can provide reasonable wind vector retrieval accuracy.
  • Keywords
    airborne radar; atmospheric measuring apparatus; backscatter; maximum likelihood estimation; remote sensing by radar; wind; Airborne Precipitation Radar 2; azimuth angle; cross-track scan; cross-track scanning geometry; cutoff-invariant two-scale model; direction ambiguity; elevation angle; maximum likelihood retrieval approach; near-nadiral cross-track Ka-band backscatter measurement; near-nadiral cross-track Ku-band backscatter measurement; sea surface backscatter returns; sea surface wind vector estimation; wind direction retrieval; wind speed retrieval; wind vector retrieval accuracy; Near-nadir backscatter; sea wind retrieval;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2261047
  • Filename
    6553425