• DocumentCode
    2050624
  • Title

    The determination of sea surface wind and temperature with airborne radiometric data

  • Author

    Etkin, V.S. ; Kuzmin, A.V. ; Pospelov, M.N. ; Smirnov, A.I. ; Yakovlev, Vladislav V.

  • Author_Institution
    Inst. of Space Res., Acad. of Sci., Moscow
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    1622
  • Abstract
    Deals with preliminary results of the Joint US/Russia Internal Wave Remote Sensing Experiment (PreCHERI). The airborne radiometric (RM) complex and side-looking real aperture radar (RAR) are briefly described. The algorithms of sea surface temperature and surface wind restoration from RM data are outlined. The results of reconstruction are compared with true surface data. The standard deviation for wind direction is ΔΦ=5.3°(for wind speed Δv=0.43 m/s; and for temperature ΔT=0.38 degC). The comparison of RH data with RAR pictures shows a good agreement of backscatter in VV-polarization with the value of polarizational anisotropy in RM channels. It is concluded that combined analysis of RM and RAR data enables significantly improved algorithms to be developed for ocean remote monitoring
  • Keywords
    atmospheric techniques; geophysical techniques; oceanographic techniques; radiometry; remote sensing; remote sensing by radar; wind; Joint US/Russia Internal Wave Remote Sensing Experiment; PreCHERI; RAR; RM; airborne radiometric; algorithm; atmosphere wind; backscatter; direction; measurement technique; microwave radiometry; ocean remote sensing; polarization; real aperture radar; sea surface temperature SST; side looking airborne radar; Airborne radar; Backscatter; Ocean temperature; Radar remote sensing; Radiometry; Remote sensing; Sea surface; Surface reconstruction; Temperature sensors; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-1240-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1993.322071
  • Filename
    322071