• DocumentCode
    40938
  • Title

    A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields

  • Author

    Soon-Koo Kweon ; Yisok Oh

  • Author_Institution
    Hongik Univ., Seoul, South Korea
  • Volume
    53
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    2802
  • Lastpage
    2809
  • Abstract
    This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields. We modified the water-cloud model (WCM) by adding new parameters (the average and standard deviation of leaf angle distribution) to accurately estimate the backscattering coefficients with the angular effect of scattering particles in a vegetation canopy. A relatively accurate radiative transfer model (RTM) and field measurements were used in this modification. The accuracy of the RTM was verified with the C-band ground-based scatterometer data of a cornfield, the X-band synthetic aperture radar data and ground-based scatterometer data of a bean field, and the in situ measured ground-truth data of those fields. The newly modified WCM (MWCM) was also verified with the measurement data. It was found that the root-mean-square errors between the MWCM and the measurements were less than 1.5 dB for all backscatter data from the agricultural vegetation fields.
  • Keywords
    geophysical techniques; remote sensing by radar; vegetation; C-band ground-based scatterometer data; X-band synthetic aperture radar data; agricultural fields; agricultural vegetation fields; backscattering coefficients; ground-truth data; leaf angle distribution; leaf angle parameters; microwave backscattering; modified water-cloud model; radar backscatters; radiative transfer model; scattering particles; vegetation canopy; Backscatter; Radar measurements; Scattering; Synthetic aperture radar; Vegetation; Vegetation mapping; Backscattering coefficient; first-order radiative transfer model (RTM); ground-based scatterometer; modified water-cloud model (MWCM); synthetic aperture radar (SAR); vegetation field;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2014.2364914
  • Filename
    6955776