• DocumentCode
    2931096
  • Title

    The estimation of dielectric constant of frozen soil-water mixture at microwave bands

  • Author

    Zhang, Lixin ; Shi, Jiancheng ; Zhang, Zhongjun ; Zhao, Kaiguang

  • Author_Institution
    Dept. of Geogr., Beijing Normal Univ., China
  • Volume
    4
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    2903
  • Abstract
    The microwave remote sensing is a promising method for detecting the freezing and thawing of soil surface due to change of dielectric constant when frozen. In frozen soil, not all liquid water freezes at or below 0°C. Based on the semi-empirical dielectric mixing model for soil water mixture, an extension of model has been made to describe the dielectric constant change of frozen soil as a function of temperature. An empirical function Wu=A·|T-273.2|-B has been used for estimating the fractions of liquid water and ice in frozen soil, where Wu is unfrozen water content. A and B are parameters related to soil texture, T is temperature in K. The item for calculation of dielectric constant of ice fraction is also added to the semi-empirical mixing model with extension of some related parameters adapted to temperature range below 0°C. Thus, with obtaining of liquid water content and ice fraction, the dielectric constant of frozen soil may be estimated. The simulated data shows that the dielectric constant of soil has a sharp change while freezing or thawing occurring. The results could be used for analyzing the characteristics of emission and scattering of soil at microwave frequencies during freezing and thawing.
  • Keywords
    ice; microwave imaging; permittivity; remote sensing; soil; water; dielectric constant; frozen soil-water mixture; ice fraction; liquid water; microwave bands; microwave remote sensing; semi-empirical dielectric mixing model; soil surface freezing; soil surface thawing; soil texture; unfrozen water content; Dielectric constant; Ice; Land surface; Microwave bands; Microwave frequencies; Microwave theory and techniques; Remote sensing; Rough surfaces; Soil; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294626
  • Filename
    1294626