• DocumentCode
    3063250
  • Title

    Development of a simple scattering model for radar backscatters of agricultural fields to be used in retrieving soil moisture

  • Author

    Soon-Koo Kweon ; Ji-Hwan Hwang ; Yisok Oh

  • Author_Institution
    Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2720
  • Lastpage
    2723
  • Abstract
    This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields using the water-cloud model (WCM) and the first-order radiative transfer (RT) model. This new model is accurate and simple enough to be used for soil moisture retrieval from the measured backscattering coefficients of vegetation fields. To improve the accuracy of the scattering model, we modified the WCM with an additional term for accurately estimating the angular effect of scattering particles in a vegetation canopy, using the relatively accurate first-order RT model. The accuracy of the scattering model was verified with the COSMO SkyMed radar data and ground-truth in-situ measurements of a bean field and a wheat field. The simple model was applied to retrieve soil moisture from the radar measurements. The estimated soil moisture contents agree well with the in-situ measured soil moisture contents for the bean and wheat fields with the correlation coefficients of 0.91 and 0.96, respectively.
  • Keywords
    hydrological techniques; moisture; remote sensing by radar; soil; vegetation; COSMO SkyMed radar data; agricultural fields; backscattering coefficients; bean field; first-order radiative transfer model; ground-truth in-situ measurements; radar backscatters; radar measurements; scattering particle angular effect; simple scattering model development; soil moisture retrieval; vegetation fields; water-cloud model; wheat field; Backscatter; Radar; Scattering; Soil measurements; Soil moisture; Vegetation; Vegetation mapping; Inversion algorithm; backscattering coefficients; soil moisture; the first-order radiative transfer model; vegetation canopy; water-cloud model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723385
  • Filename
    6723385