• DocumentCode
    1869949
  • Title

    Estimating SMOS error structure using triple collocation

  • Author

    Leroux, D.J. ; Kerr, Y.H. ; Richaume, P. ; Berthelot, B.

  • Author_Institution
    Cesbio, Toulouse, France
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    24
  • Lastpage
    27
  • Abstract
    Soil moisture is one of the most important variables regarding climate evolution. In this work, we use the triple collocation method with SMOS, AMSR-E (LPRM) and ASCAT soil moisture products at a global scale. The goal of this study is to compare SMOS soil moisture product to already existing data sets, to evaluate its accuracy and to identify the kind of areas where SMOS performs better (type of vegetation or soil).
  • Keywords
    soil; AMSR-E soil moisture product; ASCAT soil moisture product; SMOS error structure; SMOS soil moisture product; climate evolution; triple collocation method; Calibration; Microwave radiometry; Satellite broadcasting; Satellites; Soil moisture; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6048888
  • Filename
    6048888
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1869949