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@ARTICLE{Baatz:203163,
      author       = {Baatz, R. and Bogena, Heye and Hendricks-Franssen,
                      Harrie-Jan and Huisman, J. A. and Montzka, C. and Vereecken,
                      H.},
      title        = {{A}n empirical vegetation correction for soil water content
                      quantification using cosmic ray probes},
      journal      = {Water resources research},
      volume       = {51},
      number       = {4},
      issn         = {0043-1397},
      address      = {Washington, DC},
      publisher    = {AGU},
      reportid     = {FZJ-2015-05168},
      pages        = {2030 - 2046},
      year         = {2015},
      abstract     = {Cosmic ray probes are an emerging technology to
                      continuously monitor soil water content at a scale
                      significant to land surface processes. However, the
                      application of this method is hampered by its susceptibility
                      to the presence of aboveground biomass. Here we present a
                      simple empirical framework to account for moderation of fast
                      neutrons by aboveground biomass in the calibration. The
                      method extends the N0-calibration function and was developed
                      using an extensive data set from a network of 10 cosmic ray
                      probes located in the Rur catchment, Germany. The results
                      suggest a $0.9\%$ reduction in fast neutron intensity per 1
                      kg of dry aboveground biomass per m2 or per 2 kg of biomass
                      water equivalent per m2. We successfully tested the novel
                      vegetation correction using temporary cosmic ray probe
                      measurements along a strong gradient in biomass due to
                      deforestation, and using the COSMIC, and the hmf method as
                      independent soil water content retrieval algorithms. The
                      extended N0-calibration function was able to explain $95\%$
                      of the overall variability in fast neutron intensity.},
      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:000354733500010},
      doi          = {10.1002/2014WR016443},
      url          = {https://juser.fz-juelich.de/record/203163},
}