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@ARTICLE{Vereecken:111958,
      author       = {Vereecken, H. and Weihermüller, L. and Jonard, F. and
                      Montzka, C.},
      title        = {{C}haracterization of {C}rop {C}anopies and {W}ater
                      {S}tress {R}elated {P}henomena using {M}icrowave {R}emote
                      {S}ensing {M}ethods: {A} {R}eview},
      journal      = {Vadose zone journal},
      volume       = {11},
      issn         = {1539-1663},
      address      = {Madison, Wis.},
      publisher    = {SSSA},
      reportid     = {PreJuSER-111958},
      year         = {2012},
      note         = {This study was supported by the German Research Foundation
                      DFG (Transregional Collaborative Research Centre 32-Patterns
                      in Soil-Vegetation-Atmosphere Systems: Monitoring, modeling
                      and data assimilation).},
      abstract     = {In this paper we reviewed the use of microwave remote
                      sensing methods for characterizing crop canopies and
                      vegetation water stress related phenomena. Our analysis
                      includes both active and passive systems that are
                      ground-based, airborne, or spaceborne. Most of the published
                      results that have examined crop canopy characterization and
                      water stress have used active microwave systems. In general,
                      quantifying the effect of dynamic vegetation properties, and
                      water stress related processes in particular, on the
                      measured microwave signals can still benefit from improved
                      models and more observational data. Integrated data sets
                      providing information on both soil status and plant status
                      are lacking, which has hampered the development and
                      validation of mathematical models. There is a need to link
                      three-dimensional functional, structural crop models with
                      radiative transfer models to better understand the effect of
                      environmental and related physiological processes on
                      microwave signals and to better quantify the impact of water
                      stress on microwave signals. Such modeling approaches should
                      incorporate both passive and active microwave methods.
                      Studies that combine different sensor technologies that
                      cover the full spectral range from optical to microwave have
                      the potential to move forward our knowledge of the status of
                      crop canopies and particularly water related stress
                      phenomena. Assimilation of remotely sensed properties, such
                      as backscattering coefficient or brightness temperature, in
                      terms of estimating biophysical crop properties using
                      mathematical models is also an unexplored avenue.},
      keywords     = {J (WoSType)},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Environmental Sciences / Soil Science / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000306830700019},
      doi          = {10.2136/vzj2011.0138ra},
      url          = {https://juser.fz-juelich.de/record/111958},
}