• DocumentCode
    2196510
  • Title

    An experimental and theoretical study on the sensitivity of cross-polarized backscatter to soil moisture

  • Author

    Balenzano, Anna ; Mattia, Francesco ; Satalino, Giuseppe ; Ouellette, Jeffrey ; Johnson, Joel T.

  • Author_Institution
    Ist. di Studi sui Sist. Intelligenti per l´´Autom. (ISSIA), Bari, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3411
  • Lastpage
    3414
  • Abstract
    The objective of this paper is to investigate the sensitivity of cross-polarized backscatter to soil moisture content (mv) using experimental and simulated data. The experimental data set consists of co- and cross- C- and L band radar and ground data collected over bare fields by the University of Michigan in 1992 and during the Italian ENVISAT 2003 campaign over Matera (Italy), and over wheat fields during the European Space Agency AgriSAR 2006 and 2009 campaigns over DEMMIN (Germany) and Flevoland (The Netherlands), respectively. The simulated data set has been generated by merging a first-order Radiative Transfer model with a second-order Small Slope Approximation model. Preliminary results show that the model can reproduce the observed sensitivity of cross-polarized backscatter to mv. However, the modelled cross-polarized backscatter is biased with respect to the observations, suggesting that a single scale soil roughness is not sufficient to reproduce the backscatter level observed over fairly smooth surfaces.
  • Keywords
    backscatter; moisture; radiative transfer; remote sensing by radar; soil; AD 1992; AD 2003; AD 2006; AD 2009; AgriSAR; C-band radar; DEMMIN; European Space Agency; Flevoland; Germany; Italian ENVISAT campaign; Italy; L-band radar; Matera; Netherlands; cross polarized backscatter; first order Radiative Transfer model; second order Small Slope Approximation model; sensitivity; soil moisture; Backscatter; Data models; Radar; Rough surfaces; Sensitivity; Soil; Surface roughness; Cross-polarized backscatter; soil moisture;
  • 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.2012.6350688
  • Filename
    6350688