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@ARTICLE{Klotzsche:851249,
      author       = {Klotzsche, A. and Jonard, F. and Looms, M. C. and van der
                      Kruk, J. and Huisman, J. A.},
      title        = {{M}easuring {S}oil {W}ater {C}ontent with {G}round
                      {P}enetrating {R}adar: {A} {D}ecade of {P}rogress},
      journal      = {Vadose zone journal},
      volume       = {17},
      number       = {1},
      issn         = {1539-1663},
      address      = {Madison, Wis.},
      publisher    = {SSSA},
      reportid     = {FZJ-2018-04944},
      pages        = {0 -},
      year         = {2018},
      abstract     = {Tremendous progress has been made with respect to ground
                      penetrating radar (GPR) equipment, data acquisition, and
                      processing since the establishment of GPR as a tool for soil
                      water content determination in vadose zone hydrology about
                      25 yr ago. In this update, we aim to provide a critical
                      overview of recent advances in vadose zone applications of
                      GPR with a particular focus on new possibilities for
                      multi-offset and borehole GPR measurements, the development
                      of quantitative off-ground GPR methods, full-waveform
                      inversion of GPR measurements, the potential of time-lapse
                      GPR measurements for process investigations and hydrological
                      parameter estimation, and recent improvements in GPR
                      instrumentation. We hope that this update encourages the
                      soil hydrology, groundwater, and critical zone community to
                      embrace GPR as a viable tool for soil water content
                      determination and the elucidation of subsurface hydrological
                      processes.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000439713400001},
      doi          = {10.2136/vzj2018.03.0052},
      url          = {https://juser.fz-juelich.de/record/851249},
}