• DocumentCode
    576717
  • Title

    Theoretical study on GNSS-R vegetation biomass

  • Author

    Wu, Xuerui ; Li, Ying ; Xu, Jin

  • Author_Institution
    Inst. of Environ. Inf., Dalian Maritime Univ., Dalian, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6380
  • Lastpage
    6383
  • Abstract
    GNSS-R(Global Navigation Satellite System-Reflectometry) remote sensing has been attracted much more attention during the past decade. As for land scenario, soil moisture and vegetation properties are the research priorities. This paper focuses on the initial study of GNSSR vegetation biomass using the already developed microwave scattering model Bi-mimics (Bistatic-Michigan Microwave Canopy Scattering). After some modifications, forest and crop specular simulations indicate that as for GNSS-R configuration, vegetation biomass monitoring is feasible, RL and RV polarization scattering properties are influenced by vegetation types, scattering angles and polarizations. It is a complex process and theoretical simulations provide some suggestions for GNSS-R vegetation remote sensing.
  • Keywords
    satellite navigation; vegetation; vegetation mapping; Bi-mimics; Bistatic-Michigan Microwave Canopy Scattering; GNSS-R configuration; GNSS-R vegetation biomass; GNSS-R vegetation remote sensing; Global Navigation Satellite System-Reflectometry; RL polarization scattering properties; RV polarization scattering properties; crop specular simulations; land scenario; microwave scattering model; scattering angles; soil moisture; vegetation properties; Agriculture; Biological system modeling; Biomass; Global Positioning System; Remote sensing; Scattering; Vegetation mapping; Bi-mimics; GNSS-R; biomass; 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.2012.6352719
  • Filename
    6352719