• DocumentCode
    3307815
  • Title

    Feasibility on the use of JERS-1/SAR data for soil moisture prediction models

  • Author

    Kux, Hermann J H ; Maximo, O.A.

  • Author_Institution
    INPE, Sao Paulo, Brazil
  • Volume
    5
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    2600
  • Abstract
    This study presents an evaluation on the use of SAR/JERS-1 data for soil moisture prediction models, comparing values obtained using these data with those obtained during field campaign. The authors used the models presented by P.C. Dubois et al. and Y. Oh et al., which relate the backscatter coefficient with soil parameters, such as roughness and moisture. It was impossible to directly invert the model from Y. Oh et al. when including the complex number function. The model from P.C. Dubois et al., was inverted, but it became necessary to insert estimated values of roughness (RMS height) to permit its use with monopolarized images. The results can be considered as adequate
  • Keywords
    backscatter; hydrological techniques; moisture measurement; radar cross-sections; radar polarimetry; remote sensing by radar; soil; spaceborne radar; synthetic aperture radar; JERS-1; SAR; backscatter coefficient; complex number function; hydrology; measurement technique; radar remote sensing; radar scattering; roughness; soil moisture; soil moisture prediction model; spaceborne radar; synthetic aperture radar; Calculus; Calibration; Equations; Extraterrestrial measurements; Fresnel reflection; Moisture measurement; Predictive models; Soil measurements; Soil moisture; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.702291
  • Filename
    702291