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@INPROCEEDINGS{PlaGuerrero:1048127,
      author       = {Pla Guerrero, David and Bendig, Juliane and Regaieg, Omar
                      and Casuccio, Lucas and Malenovský, Zbyněk and Rascher,
                      Uwe},
      title        = {{DART}-simulated sensitivity analysis of {UAV}
                      solar-induced chlorophyll fluorescence imaging measurements},
      journal      = {Proceedings of SPIE},
      issn         = {0038-7355},
      address      = {Bellingham, Wash.},
      publisher    = {SPIE},
      reportid     = {FZJ-2025-04513},
      pages        = {9},
      year         = {2025},
      abstract     = {Advancements in remote sensing techniques have enabled the
                      measurement of solar-induced chlorophyll fluorescence (SIF)
                      as a key photosynthesis indicator. In the present study, the
                      analysis of potential optimal SIF detection from a UAV by a
                      novel camera sensor is simulated in the Discrete Anisotropic
                      Radiative Transfer (DART) model. The sensitivity study
                      investigates the effects of crop structure, image noise, and
                      pixel size on the quality of the SIF signal retrieved for
                      alfalfa and maize canopies. Based on the DART-simulated
                      results, the study will set the optimised experiment
                      configurations for future field measurements considering the
                      specific crop characteristics.},
      month         = {Sep},
      date          = {2025-09-15},
      organization  = {Remote Sensing for Agriculture,
                       Ecosystems, and Hydrology XXVII, Madrid
                       (Spain), 15 Sep 2025 - 19 Sep 2025},
      cin          = {IBG-2},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / DFG project G:(GEPRIS)541028765 -
                      UAV-gestützte bildgebende Verfahren zur Messung von
                      fern-roter sonnen-induzierter Chlorophyll-Fluoreszenz
                      (541028765)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)541028765},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      doi          = {doi.org/10.1117/12.3069666},
      url          = {https://juser.fz-juelich.de/record/1048127},
}