• Title of article

    L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields

  • Author/Authors

    Wigneron، نويسنده , , J.-P. and Kerr، نويسنده , , Y. and Waldteufel، نويسنده , , P. and Saleh، نويسنده , , K. and Escorihuela، نويسنده , , Agnès Richaume، نويسنده , , P. and Ferrazzoli، نويسنده , , P. and de Rosnay، نويسنده , , P. and Gurney، نويسنده , , R. and Calvet، نويسنده , , J.-C. and Grant، نويسنده , , J.P. and Guglielmetti، نويسنده , , M. and Hornbuckle، نويسنده , , B. and Mنtzler، نويسنده , , C. and Pellari، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    17
  • From page
    639
  • To page
    655
  • Abstract
    In the near future, the SMOS (Soil Moisture and Ocean Salinity) mission will provide global maps of surface soil moisture (SM). The SMOS baseline payload is an L-band (1.4 GHz) two dimensional interferometric microwave radiometer which will provide multi-angular and dual-polarization observations. In the framework of the ground segment activities for the SMOS mission an operational SMOS Level 2 Soil Moisture algorithm was developed. The principle of the algorithm is to exploit multi-angular data in order to retrieve simultaneously several surface parameters including soil moisture and vegetation characteristics. The algorithm uses an iterative approach, minimizing a cost function computed from the differences between measured and modelled brightness temperature (TB) data, for all available incidence angles. algorithm, the selected forward model is the so-called L-MEB (L-band Microwave Emission of the Biosphere) model which was the result of an extensive review of the current knowledge of the microwave emission of various land covers. This model is a key element in the SMOS L2 algorithm and could be used in future assimilation studies. There is thus a strong need for a reference study, describing the model and its implementation. In order to address these needs a detailed description of soil and vegetation modelling in L-MEB is given in this study. In a second step, the use of L-MEB in soil moisture retrievals is evaluated for several experimental data sets over agricultural crops. Calibrations of the soil and vegetation L-MEB parameters are investigated for corn, soybean and wheat. Over the different experiments, very consistent results are obtained for each vegetation type in terms of calibration and soil moisture retrievals.
  • Keywords
    inversion , algorithm , L-MEB , SMOS , soil , Soil moisture , Vegetation , Modelling , Passive microwave
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2007
  • Journal title
    Remote Sensing of Environment
  • Record number

    1575096