• Title of article

    Soil moisture retrievals at L-band using a two-step inversion approach (COSMOS/NAFEʹ05 Experiment)

  • Author/Authors

    Saleh، نويسنده , , K. and Kerr، نويسنده , , Y.H. and Richaume، نويسنده , , P. and Escorihuela، نويسنده , , M.J. and Panciera، نويسنده , , R. and Delwart، نويسنده , , S. and Boulet، نويسنده , , G. and Maisongrande، نويسنده , , P. and Walker، نويسنده , , J.P. and Wursteisen، نويسنده , , P. and Wigneron، نويسنده , , J.P.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    9
  • From page
    1304
  • To page
    1312
  • Abstract
    COSMOS (Campaign for validating the Operation of Soil Moisture and Ocean Salinity), and NAFE (National Airborne Field Experiment) were two airborne campaigns held in the Goulburn River catchment (Australia) at the end of 2005. These airborne measurements are being used as benchmark data sets for validating the SMOS (Soil Moisture and Ocean Salinity) ground segment processor over prairies and crops. This paper presents results of soil moisture inversions and brightness temperature simulations at different resolutions from dual-polarisation and multi-angular L-band (1.4 GHz) measurements obtained from two independent radiometers. The aim of the paper is to provide a method that could overcome the limitations of unknown surface roughness for soil moisture retrievals from L-band data. For that purpose, a two-step approach is proposed for areas with low to moderate vegetation. Firstly, a two-parameter inversion of surface roughness and optical depth is used to obtain a roughness correction dependent on land use only. This step is conducted over small areas with known soil moisture. Such roughness correction is then used in the second step, where soil moisture and optical depth are retrieved over larger areas including mixed pixels. This approach produces soil moisture retrievals with root mean square errors between 0.034 m3 m− 3 and 0.054 m3 m− 3 over crops, prairies, and mixtures of these two land uses at different resolutions.
  • Keywords
    SMOS , Soil moisture , L-band , cosmos , Radiometry , NAFE , Soil roughness
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2009
  • Journal title
    Remote Sensing of Environment
  • Record number

    1629119