• DocumentCode
    3349924
  • Title

    Deriving soil moisture with the combined L-band radar and radiometer measurements

  • Author

    Shi, Jiancheng ; Chen, K.S. ; Tsang, L. ; Jackson, T. ; Njoku, E. ; van Zyl, Jacobus ; O´Neill, Peggy ; Entekhabi, D. ; Johnson, J. ; Moghaddam, M.

  • Author_Institution
    ICESS, Univ. of California, Santa Barbara, CA, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    812
  • Lastpage
    815
  • Abstract
    In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP´s sensor configurations using the radiative transfer model with a wide range of conditions for surface soil moisture, roughness and vegetation properties that we considered as the random orientated disks and cylinders. Using this database, we developed 1) the techniques to estimate surface backscattering and emission components and 2) the technique to estimate soil moisture with the estimated surface backscattering and emission components. We will demonstrate these techniques with the model simulated data and its validation with the airborne PALS image data from the soil moisture SGP´99 and SMEX´02 experiments.
  • Keywords
    hydrological techniques; hydrology; moisture; radiative transfer; remote sensing by radar; soil; vegetation; L-band radar measurements; SGP´99 experiment; SMAP sensor configuration; SMEX´02 experiment; airborne PALS image data; combined active-passive technique; radiative transfer model; radiometer measurements; short vegetated surfaces; surface backscattering component; surface emission components; surface soil moisture estimation; surface soil roughness; surface soil vegetation properties; Backscatter; Radar measurements; Sea measurements; Soil measurements; Soil moisture; Vegetation; L-band radar and radiometer; soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652424
  • Filename
    5652424