• DocumentCode
    881105
  • Title

    Radar Bistatic Configurations for Soil Moisture Retrieval: A Simulation Study

  • Author

    Pierdicca, Nazzareno ; Pulvirenti, Luca ; Ticconi, Francesca ; Brogioni, Marco

  • Author_Institution
    Dept. of Electron. Eng., Sapienza Univ. of Rome, Rome
  • Volume
    46
  • Issue
    10
  • fYear
    2008
  • Firstpage
    3252
  • Lastpage
    3264
  • Abstract
    The possible contribution of bistatic radar measurements for bare soil moisture retrieval is investigated in this paper. A simulation study based on well-established electromagnetic models of rough surface scattering (both coherent and incoherent components) has been accomplished for this purpose. The retrieval accuracy has been evaluated by using both the Cramer-Rao lower bound and the error variance of a linear regression estimator, thus considering slightly different assumptions on retrieval conditions. Both methods have allowed us to identify the optimal system configurations in terms of observation directions, polarizations, and frequency. This identification has been carried out for single-polarization and multipolarization receivers and for the case in which bistatic measurements are complemented by monostatic ones, which are expected to be available through already-existing spaceborne synthetic aperture radars. The optimal systems have first been singled out by considering a Gaussian autocorrelation function (ACF) and a constant value of correlation length. Successively, the simulations for an exponential ACF and a variable correlation length have been analyzed, demonstrating that the results substantially remain the same. The comparison between the soil moisture estimation accuracy yielded by the optimal configurations and that provided by the standard monostatic radar has shown that a significant improvement in the quality of retrieval can be achieved by complementing bistatic and monostatic measurements.
  • Keywords
    hydrology; moisture; soil; synthetic aperture radar; Cramer-Rao lower bound; Gaussian autocorrelation function; bare soil moisture retrieval; electromagnetic models; error variance; linear regression estimator; monostatic radar; multipolarization receiver; radar bistatic configurations; rough surface scattering; single-polarization receiver; spaceborne synthetic aperture radars; variable correlation length; Bistatic radar; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic scattering; Moisture measurement; Rough surfaces; Soil measurements; Soil moisture; Spaceborne radar; Surface roughness; Radar measurements; soil miosture; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.921495
  • Filename
    4637969