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@ARTICLE{Tewes:874488,
      author       = {Tewes, Andreas and Hoffmann, Holger and Nolte, Manuel and
                      Krauss, Gunther and Schäfer, Fabian and Kerkhoff, Christian
                      and Gaiser, Thomas},
      title        = {{H}ow {D}o {M}ethods {A}ssimilating {S}entinel-2-{D}erived
                      {LAI} {C}ombined with {T}wo {D}ifferent {S}ources of {S}oil
                      {I}nput {D}ata {A}ffect the {C}rop {M}odel-{B}ased
                      {E}stimation of {W}heat {B}iomass at {S}ub-{F}ield {L}evel?},
      journal      = {Remote sensing},
      volume       = {12},
      number       = {6},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2020-01467},
      pages        = {925 -},
      year         = {2020},
      note         = {Grant Agrarsysteme der Zukunft: DAKIS —Digitales Wissens-
                      und Informationssystem für die Landwirtschaft, Teilprojekt
                      FFörderkennzeichen: 031B0729F},
      abstract     = {The combination of Sentinel-2 derived information about
                      sub-field heterogeneity of crop canopy leaf area index (LAI)
                      and SoilGrids-derived information about local soil
                      properties might help to improve the prediction accuracy of
                      crop simulation models at sub-field level without prior
                      knowledge of detailed site characteristics. In this study,
                      we ran a crop model using either soil texture derived from
                      samples that were taken spatially distributed across a field
                      and analyzed in the lab (AS) or SoilGrids-derived soil
                      texture (SG) as model input in combination with different
                      levels of LAI assimilation. We relied on the LINTUL5 model
                      implemented in the SIMPLACE modeling framework to simulate
                      winter wheat biomass development in 40 to 60 points in each
                      field with detailed measured soil information available, for
                      14 fields across France, Germany, and the Netherlands during
                      two growing seasons. Water stress was the only
                      growth-limiting factor considered in the model. The model
                      performance was evaluated against total aboveground biomass
                      measurements at harvest with regard to the average per-field
                      prediction and the simulated spatial variability within the
                      field. Our findings showed that a) per-field average biomass
                      predictions of SG-based modeling approaches were not
                      inferior to those using AS-texture as input, but came with a
                      greater prediction uncertainty, b) relying on the generation
                      of an ensemble without LAI assimilation might produce
                      results as accurate as simulations where LAI is assimilated,
                      and c) sub-field heterogeneity was not reproduced well in
                      any of the fields, predominantly because of an inaccurate
                      simulation of water stress in the model. We conclude that
                      research should be devoted to the testing of different
                      approaches to simulate soil moisture dynamics and to the
                      testing in other sites, potentially using LAI products
                      derived from other remotely sensed imagery.},
      cin          = {IBG-3},
      ddc          = {620},
      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:000526820600027},
      doi          = {10.3390/rs12060925},
      url          = {https://juser.fz-juelich.de/record/874488},
}