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@ARTICLE{Tewes:888276,
      author       = {Tewes, Andreas and Montzka, Carsten and Nolte, Manuel and
                      Krauss, Gunther and Hoffmann, Holger and Gaiser, Thomas},
      title        = {{A}ssimilation of {S}entinel-2 {E}stimated {LAI} into a
                      {C}rop {M}odel: {I}nfluence of {T}iming and {F}requency of
                      {A}cquisitions on {S}imulation of {W}ater {S}tress and
                      {B}iomass {P}roduction of {W}inter {W}heat},
      journal      = {Agronomy},
      volume       = {10},
      number       = {11},
      issn         = {2073-4395},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2020-04802},
      pages        = {1813 -},
      year         = {2020},
      abstract     = {The Sentinel-2 (S2) Toolbox permits for the automated
                      retrieval of leaf area index (LAI). LAI assimilation into
                      crop simulation models could aid to improve the prediction
                      accuracy for biomass at field level. We investigated if the
                      combined effects of assimilation date and corresponding
                      growth stage plus observational frequency have an impact on
                      the crop model-based simulation of water stress and biomass
                      production. We simulated winter wheat growth in nine fields
                      in Germany over two years. S2 LAI estimations for each field
                      were categorized into three phases, depending on the
                      development stage of the crop at acquisition date
                      (tillering, stem elongation, booting to flowering). LAI was
                      assimilated in every possible combinational setup using the
                      ensemble Kalman filter (EnKF). We evaluated the performance
                      of the simulations based on the comparison of measured and
                      simulated aboveground biomass at harvest. The results showed
                      that the effects on water stress remained largely limited,
                      because it mostly occurred after we stopped LAI
                      assimilation. With regard to aboveground biomass, we found
                      that the assimilation of only one LAI estimate from either
                      the tillering or the booting to flowering stage resulted in
                      simulated biomass values similar or closer to measured
                      values than in those where more than one LAI estimate from
                      the stem elongation phase were assimilated. LAI assimilation
                      after the tillering phase might therefore be not necessarily
                      required, as it may not lead to the desired improvement
                      effect},
      cin          = {IBG-3},
      ddc          = {640},
      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:000592966600001},
      doi          = {10.3390/agronomy10111813},
      url          = {https://juser.fz-juelich.de/record/888276},
}