• DocumentCode
    3063271
  • Title

    An impedance based approach to determine soil moisture using radarsat-2 data

  • Author

    Mishra, P. ; Goel, Shivani ; Singh, D.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Indian Inst. of Technol., Roorkee, Roorkee, India
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2724
  • Lastpage
    2727
  • Abstract
    In the present paper an attempt has been made for estimation of volumetric moisture of bare soil surface at particular thickness of soil layer by applying impedance based model relied on transmission line theory. The proposed approach calculates the impedance of layer of bare soil surface as a function of complex dielectric constant and thickness of soil. After retrieval of complex dielectric constant at 5cm thickness of soil layer using Genetic algorithm (GA) approach, volumetric moisture of bare soil surface is retrieved by using polynomial relationship proposed by Topp et al. The proposed method is effectively applied on radarsat-2 data. Obtained soil moisture values show consistency with the soil moisture values retrieved by Dubois model and ASCAT SSM data.
  • Keywords
    genetic algorithms; geophysical techniques; permittivity; polynomials; remote sensing by radar; soil; transmission line theory; ASCAT SSM data; Dubois model; GA approach; bare soil surface layer impedance; bare soil surface volumetric moisture; bare soil surface volumetric moisture estimation; complex dielectric constant function; complex dielectric constant retrieval; genetic algorithm approach; impedance based approach; impedance based model; polynomial relationship; proposed method effective application; radarsat-2 data; soil layer thickness; soil moisture determination; soil moisture values; transmission line theory; Dielectric constant; Estimation; Impedance; Mathematical model; Moisture; Soil moisture; ASCAT; Radarsat-2; Soil Moisture; Transmission Line Theory;
  • 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.2013.6723386
  • Filename
    6723386