• DocumentCode
    3373937
  • Title

    Ocean surface winds measurement using reflected GNSS signals

  • Author

    Yin, Pengfei ; Yin, Qiu ; Li, Ziwei ; Zhang, Yiqiang ; Xu, Hua ; Chen, Xingfeng ; Ning, Shangguo

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3829
  • Lastpage
    3832
  • Abstract
    Signals of the Global Navigation Satellite System (GNSS) can be used for purposes rather than navigation, positioning and timing. Direct GNSS signals have already been used to obtain the earth´s atmospheric profile. Now it has been recognized that the reflected GNSS signals can also be used to obtain ocean surface wind speed and direction. Based on the aircraft flight experiments taken in China, this paper presents a thorough and extended analysis of this surface wind retrieval algorithm. In order to verify the accuracy of the retrieval algorithm, the retrieval results have been compared with QuickSCAT satellite´s ocean surface winds sounding results. The retrieval accuracies of wind vectors are 2m/s wind speed and 2 deg wind direction.
  • Keywords
    atmospheric techniques; information retrieval; oceanographic regions; remote sensing; wind; China; Earth atmospheric profile; Global Navigation Satellite System; QuickSCAT satellite ocean surface winds sounding; aircraft flight experiments; navigation; ocean surface wind direction; ocean surface wind speed; positioning; reflected GNSS signals; surface wind retrieval algorithm; timing; wind vectors; Global Navigation Satellite Systems; Mathematical model; Sea surface; Surface waves; Wind speed; GNSS-R; forwardscattering model; ocean surface winds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5653993
  • Filename
    5653993