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@ARTICLE{Lambot:1745,
      author       = {Lambot, S. and Slob, E. C. and Chavarro, D. and Lubczynski,
                      M. and Vereecken, H.},
      title        = {{M}easuring soil surface water content in irrigated areas
                      of southern {T}unisia using full-waveform inversion of
                      proximal {GPR} data},
      journal      = {Near surface geophysics},
      volume       = {6},
      issn         = {1569-4445},
      address      = {Houten},
      publisher    = {EAGE},
      reportid     = {PreJuSER-1745},
      pages        = {403 - 410},
      year         = {2008},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Full-waveform inverse modelling of proximal
                      ground-penetrating radar was used to measure Soil Surface
                      water content in irrigated areas of southern Tunisia. The
                      ground-penetrating radar system consisted of a hand held
                      vector network analyser combined with an off-ground
                      monostatic horn antenna, thereby setting up an ultra
                      wideband stepped-frequency continuous-wave radar. Inversion
                      of the radar Green's function was performed in the
                      time-domain, on a time window focused on the surface
                      reflection only. Results were compared with volumetric and
                      time-domain reflectometry measurements, as well as with an
                      improved version of the standard reflection coefficient
                      method. Except for water contents close to saturation, good
                      agreements were obtained between ground-penetrating radar,
                      time-domain reflectometry and volumetric samples.
                      Significant differences were observed when the soil electric
                      conductivity was high and Could not be neglected anymore in
                      the inversion process. Accounting for electric conductivity
                      provided better results. Remaining errors were attributed to
                      the different scales of characterization dealt with in
                      relation to the vertical variability of water content in the
                      top few centimetres of the soil. The proposed method appears
                      to be more practical and accurate than the standard
                      reflection coefficient method and shows great promise for
                      real-time mapping of surface soil moisture at the field
                      scale.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4 / JARA-ENERGY / JARA-SIM},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$ /
                      I:(DE-Juel1)VDB1045},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Geochemistry $\&$ Geophysics},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000261736100007},
      url          = {https://juser.fz-juelich.de/record/1745},
}