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@PHDTHESIS{Rosenbaum:17114,
      author       = {Rosenbaum, Ulrike},
      title        = {{A}nalysis of spatial soil moisture dynamics using wireless
                      sensor networks},
      volume       = {108},
      issn         = {1866-1793},
      school       = {Universität Bonn},
      type         = {Dr. (Univ.)},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich Gmbh Zentralbibliothek, Verlag},
      reportid     = {PreJuSER-17114},
      isbn         = {978-3-89336-710},
      series       = {Schriften des Forschungszentrums Jülich : Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      year         = {2011},
      note         = {Record converted from VDB: 12.11.2012; Univ. Bonn., Diss.,
                      2011},
      abstract     = {To understand short-term and long-term dynamics in spatial
                      soil moisture patterns at the small catchment scale,
                      appropriate measurement techniques are needed. Recently
                      developed wireless sensor networks help to bridge the gap
                      between local (e.g. hydrogeophysical methods) and regional
                      soil moisture measurement techniques (e.g. satellite borne
                      remote sensing). Wireless sensor networks like SoilNet
                      routinely provide continuous soil moisture data with both
                      high temporal and spatial resolution, also spatial coverage
                      of a given test site. An essential requirement for the
                      development of a wireless sensor network is the selection of
                      appropriate soil water content sensors. Low-cost sensors are
                      often criticized concerning their measurement accuracy in
                      terms of considerable variation between individual sensors,
                      temperature-dependency and spurious effects of electrical
                      conductivity on the sensor response. In this thesis, by
                      means of laboratory experiments using dielectric reference
                      liquids soil moisture sensors ECH$_{2}$O (Decagon Devices,
                      Inc., Pullman, WA) were evaluated regarding their measuring
                      accuracy, i.e. sensor-to-sensor variability and temperature
                      as well as electric conductivity effects. Consideration of
                      sensor-to-sensor variability by means of a sensorspecific
                      calibration significantly improves the apparent dielectric
                      permittivity estimate, in particular in the high
                      permittivity range (i.e. high soil water content range).
                      Temperature effects on the apparent dielectric permittivity
                      measurement, which could be related to the sensor circuitry,
                      were successfully quantified in dielectric reference
                      liquids, furthermore corrected and also validated for
                      selected soil samples of different texture classes. The
                      assessment of electrical conductivity effects on apparent
                      dielectric permittivity estimation was limited to the high
                      permittivity range (ε > ~26) due to method constrains.
                      However,[...]},
      cin          = {IBG-3},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      url          = {https://juser.fz-juelich.de/record/17114},
}