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@PHDTHESIS{Montzka:61766,
      author       = {Montzka, Carsten},
      title        = {{E}insatz von multispektralen {S}atellitenbilddaten in der
                      {W}asserhaushalts- und {S}toffstrommodellierung -
                      dargestellt am {B}eispiel des {R}ureinzugsgebietes},
      volume       = {1},
      issn         = {1866-1793},
      school       = {Univ. Bonn},
      type         = {Dr. (Univ.)},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {PreJuSER-61766},
      isbn         = {978-3-89336-508-1},
      series       = {Schriften des Forschungszentrums Jülich : Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {XX, 238 S.},
      year         = {2008},
      note         = {Record converted from VDB: 12.11.2012; Bonn, Univ., Diss.,
                      2007},
      abstract     = {The integrated REGFLUD model system was developed by the
                      Research Centre Jülich (ICG 4) and the Federal Agricultural
                      Research Centre (FAL) Braunschweig against the background of
                      high nitrate impact of ground and surface waters by
                      application of agricultural nitrogen fertilisers. In this
                      PhD thesis this model system, composed of the
                      agricultural-economic model RAUMIS and the water balance
                      model GROWA, was applied in the Rur catchment basin to
                      analyse the application of remotely sensed data for an
                      enhancement of model components, modelinterfaces and model
                      results.To examine these enhancements for water balance and
                      nitrogen flux modelling, ASTER, SPOT and LANDSAT data of the
                      years 2000 - 2004 were assimilated to the model system. In a
                      pre-processing step a destriping, a wavelet-based
                      panchromatic sharpening and a manual and automated
                      geocorrection was accom-lished. Ground truth information for
                      agricultural crops was recorded during a field survey and
                      used to train a Kalman filter-based neural net. After
                      probabilistic filtering in this way an area-wide land cover
                      map was generated. Satellite data were used in order to
                      couple RAUMIS and GROWA by a disaggregation of nitrogen
                      balance surpluses on allotments, i.e. the agricultural
                      non-point nitrogen input was displayed area-differentiated.
                      Additionally, for the land cover classes settlement and
                      industry corresponding degrees of imperviousness were
                      calculated. By being acquainted with the agricultural crop
                      rotation, the potential crop evapotranspiration instead of
                      the potential grass reference evapotranspiration wasable to
                      be used in the water balance model GROWA. Land
                      cover-dependant coefficients for actual evapotranspiration
                      calculation were adjusted to meet the modified data basis
                      and the special conditions of the Rur catchment basin. Its
                      advantage is the determination of special coefficients for
                      tuber crops and cereals, so that remotely sensed data
                      triggered an important enhancement of GROWA. After the
                      estimation of evapotranspiration, a further separation of
                      total runoff into direct runoff and groundwater recharge was
                      performed. Target parameter was the nitrate concentration in
                      the leachate, identified as an agricultural indicator
                      relevant to environment by the Organisation for Economic
                      Cooperation and Development (OECD). Denitrification in the
                      unsaturated soil zone was calculated in the model system by
                      a microbial decomposition kinetics [...]},
      cin          = {ICG-4},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)VDB793},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      url          = {https://juser.fz-juelich.de/record/61766},
}