• DocumentCode
    2222652
  • Title

    GNSS-R reflected signals polarization characteristics: Theoretical study on vegetation remote sensing

  • Author

    Wu, Xuerui ; Li, Ying

  • Author_Institution
    Inst. of Environ. Inf., Dalian Maritime Univ., Dalian, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7516
  • Lastpage
    7518
  • Abstract
    GNSS-R remote sensing has been attracted much attention during the past few years due to its unique advantages. Meanwhile, its receivers and signal processors have been improved. However, some ambiguities still exit. Receiver´s elevation angles and antenna polarizations are the important effects for geophysical parameters monitoring and retrievals. This paper uses the microwave scattering model to do some research on GNSS-R vegetation polarizations. The already developed bistatic scattering model Bi-mimics is used as the study tool. After some modifications, any polarization combination is able to be calculated. As for GNSS-R, RHCP signal is transmitted and linear or circular polarization signals are received. Aspen is used as model input. Theoretical analysis indicates that antenna polarization should be paid more attention as for different applications. Further study need to be done in the future.
  • Keywords
    backscatter; electromagnetic wave polarisation; microwave antennas; microwave receivers; microwave reflectometry; remote sensing; satellite navigation; vegetation; Aspen; Bi-mimics; GNSS-R reflected signal polarization characteristics; GNSS-R remote sensing; RHCP signal transmission; antenna polarization; bistatic scattering model; circular polarization signal; geophysical parameter monitoring; geophysical parameter retrieval; linear polarization signal; microwave scattering model; polarization combination; receiver elevation angle; signal processors; vegetation remote sensing; Global Positioning System; Polarization; Receivers; Remote sensing; Sea measurements; Vegetation mapping; Bi-mimics; GNSS-R; polarization; vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351893
  • Filename
    6351893