• DocumentCode
    143671
  • Title

    Downscaling SMOS derived soil moisture for very wet conditions using a physically based approach

  • Author

    Djamai, Najib ; Magagi, Ramata ; Goita, Kalifa ; Merlin, Olivier ; Kerr, Yann H. ; Walker, Anne

  • Author_Institution
    Univ. de Sherbrooke, Sherbrooke, QC, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3198
  • Lastpage
    3201
  • Abstract
    A physically based downscaling algorithm, DISPATCH (DISaggregation based on Physical And Theoretical scale CHange), has been used to estimate soil moisture at 1 km scale from coarse resolution SMOS soil moisture estimates over the agricultural site of the CanEx-SM10 campaign. In this paper, we test the applicability of the algorithm and analyze the linearity of the relationship between the soil evaporative efficiency (SEE) and the near-surface soil moisture (SM) for very wet soils. In such conditions, the results show that the linear model is not suitable due to a difficulty in estimating Tsmax (dry edge) within the SMOS pixel. The use of a neighboring area to estimate a reliable value of Tsmax was tested and validated in order to improve the linear model results.
  • Keywords
    evaporation; hydrological techniques; moisture; soil; CanEx-SM10 campaign; DISPATCH downscaling algorithm; SMOS pixel; SMOS soil moisture estimates; Tsmax value; agricultural site; linear model; near-surface soil moisture; physically based approach; soil evaporative efficiency; L-band; Mathematical model; Moisture; Ocean temperature; Remote sensing; Soil moisture; DISPATCH; SMOS; linear model; nonlinear model; soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947158
  • Filename
    6947158