• DocumentCode
    2210496
  • Title

    Temperature and texture dependent dielectric model of MOIST soils at the SMOS frequency

  • Author

    Valery, Mironov ; Yann, Kerr ; Jean-Pierre, Wigneron ; Liudmila, Kosolapova ; François, Demontoux

  • Author_Institution
    Kirensky Inst. of Phys., Krasnoyarsk, Russia
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1127
  • Lastpage
    1130
  • Abstract
    In this paper a single-frequent temperature and texture dependent dielectric model for moist soils is proposed. This model is designed for the frequency of 1.4 GHz at which the European sensor SMOS operates to monitor moisture of the Earth surface from space. Earlier, the dielectric model was created, that provides estimations of the complex dielectric constant of moist soils as a function of frequency, temperature, moisture and mineralogy of soils. This model was developed based on extensive measurements of the dielectric constant for a wide ensemble of soils (clay content from 0 to 76%), moistures (from zero to molecular moisture capacity), temperatures (10° C to 40° C), and frequencies (0.3 to 26.5 GHz). This model provides for fairly good accuracy. But, being cumbersome to account for frequency dependencies, the model is not always convenient for practical use at a single frequency. Exclusion of the frequency dependence allowed us to obtain a substantially more simple dielectric model to estimate the complex dielectric constant of soil at a single frequency of 1.4 GHz as a function of moisture, temperature, and clay content.
  • Keywords
    clay; minerals; soil; SMOS European sensor; clay content; complex dielectric constant; frequency 1.4 GHz; moist soil dielectric model; single-frequent temperature dependent dielectric model; soil mineralogy; texture dependent dielectric model; Abstracts; Data models; Indexes; Moisture; Soil measurements; 1.4 GHz; SMOS; monofrequent dielectric model; soil moisture; temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351350
  • Filename
    6351350