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@ARTICLE{Lambot:5533,
      author       = {Lambot, S. and Slob, E. C. and Rhebergen, J. and Lopera, O.
                      and Jadoon, K. Z. and Vereecken, H.},
      title        = {{R}emote {E}stimation of the {H}ydraulic {P}roperties of a
                      {S}and {U}sing {F}ull-{W}aveform {I}ntegrated
                      {H}ydrogeophysical {I}nversion of {T}ime-{L}apse,
                      {O}ff-{G}round {GPR} {D}ata},
      journal      = {Vadose zone journal},
      volume       = {8},
      issn         = {1539-1663},
      address      = {Madison, Wis.},
      publisher    = {SSSA},
      reportid     = {PreJuSER-5533},
      pages        = {743 - 754},
      year         = {2009},
      note         = {This research was supported by a Marie Curie Intra-European
                      Fellowships within the 6th European Community Framework
                      Program (SENSOIL project no. 502116), Delft University of
                      Technology (TUDelft, The Netherlands), the TNO Defense,
                      Security and Safety (The Netherlands), the Universite
                      catholique de Louvain and Fonds National de la Recherche
                      Scientifique (UCL and FNRS, Belgium), and the
                      Forschungszentrum Julich (Germany). The authors are grateful
                      to David Robinson and three anonymous reviewers for their
                      constructive comments.},
      abstract     = {We used integrated hydrogeophysical inversion of
                      time-lapse, proximal ground penetrating radar (GPR) data to
                      remotely the unsaturated soil hydraulic properties of a
                      laboratory sand during an infiltration event. The inversion
                      procedure involved full-waveform modeling of the radar
                      signal and one-dimensional, vertical flow modeling. We
                      combined radar model with HYDRUS-1D. The radar system was
                      set up using standard, handheld vector network analyzer
                      Significant effects of water dynamics were observed on the
                      time-lapse radar data. The estimated hydraulic were
                      relatively consistent with direct characterization of
                      undisturbed sand samples. Significant differences
                      particularly observed for the saturated hydraulic
                      conductivity, which was underestimated by two orders of
                      magnitude. Nevertheless, the use of soil hydraulic
                      parameters derived from reference measurements failed to
                      correctly water dynamics, whereas GPR-based predictions
                      captured some of the major features of time domain
                      reflectometry measurements and better agreed with visual
                      observations. These results suggest that the proposed method
                      promising for noninvasive, effective hydraulic
                      characterization of the shallow subsurface and hence,
                      monitoring of dynamics at the field scale.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4 / JARA-HPC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB793 / $I:(DE-82)080012_20140620$},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Environmental Sciences / Soil Science / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000268871900021},
      doi          = {10.2136/vzj2008.0058},
      url          = {https://juser.fz-juelich.de/record/5533},
}