• DocumentCode
    576525
  • Title

    Analysis of backscattering modelling improvements for soil roughness and moisture estimation

  • Author

    Zribi, M. ; Dechambre, M. ; Baghdadi, N. ; Morvan, A. Le

  • Author_Institution
    IRD/CNES, CESBIO, Univ. Paul Sabatier, Toulouse, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5786
  • Lastpage
    5789
  • Abstract
    The objective of this paper is to present the contribution of a new dielectric constant characterization for the modelling of radar backscattering behavior. Our analysis is based on a large number of radar measurements acquired during different experimental campaigns (Orgeval´94, Pays de Caux´98, 99). We propose a dielectric constant model, based on the combination of contributions from both soil and air fractions. This modelling clearly reveals the joint influence of the air and soil phases, in backscattering measurements over rough surfaces with large clods. A relationship is established between the soil fraction and soil roughness, using the Integral Equation Model (IEM), fitted to real radar data. Finally, the influence of the air fraction on the linear relationship between moisture and the backscattered radar signal is discussed.
  • Keywords
    backscatter; integral equations; moisture; permittivity; radar; soil; AD 1994; AD 1998; AD 1999; IEM; Orgeval; Pays de Caux; air fraction; air phase; backscattering modelling improvement; dielectric constant characterization; dielectric constant model; integral equation model; moisture estimation; radar backscattering behavior modelling; radar data; radar measurement; radar signal backscattering; soil fraction; soil phase; soil roughness; Atmospheric modeling; Backscatter; Dielectric constant; Radar; Rough surfaces; Soil; Surface roughness; dielectric constant; modelling; moisture; radar;
  • 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.2012.6352295
  • Filename
    6352295