% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Bendig:1033762,
      author       = {Bendig, Juliane and Malenovský, Zbynĕk and Siegmann,
                      Bastian and Krämer, Julie and Rascher, Uwe},
      title        = {{C}omparing methods for solar-induced fluorescence
                      efficiency estimation using radiative transfer modelling and
                      airborne diurnal measurements of barley crops},
      journal      = {Remote sensing of environment},
      volume       = {317},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2024-06603},
      pages        = {114521 -},
      year         = {2025},
      abstract     = {Ability of remotely sensed solar-induced chlorophyll
                      fluorescence (SIF) to serve as a vegetation productivity
                      andstress indicator is impaired by confounding factors, such
                      as varying crop-specific canopy structure, changingsolar
                      illumination angles, and SIF-soil optical interactions. This
                      study investigates two normalisation approachescorrecting
                      diurnal top-of-canopy SIF observations retrieved from the
                      O2-A absorption feature at 760 nm (F760hereafter) of summer
                      barley crops for these confounding effects. Nadir SIF data
                      was acquired over nine breedingexperimental plots
                      simultaneously by an airborne imaging spectrometer (HyPlant)
                      and a drone-based high-performance point spectrometer
                      (AirSIF). Ancillary measurements, including leaf pigment
                      contents retrievedfrom drone hyperspectral imagery,
                      destructively sampled leaf area index (LAI), and leaf water
                      and dry mattercontents, were used to test the two
                      normalisation methods that are based on: i) the fluorescence
                      correctionvegetation index (FCVI), and ii) three versions of
                      the near-infrared reflectance of vegetation (NIRV).
                      Modelling inthe discrete anisotropic radiative transfer
                      (DART) model revealed close matches for NIRv-based
                      approacheswhen corrected canopy SIF was compared to
                      simulated total chlorophyll fluorescence emitted by leaves
                      (R2 =0.99). Normalisation with the FCVI also performed
                      acceptably (R2 = 0.93), however, it was sensitive to
                      varia-tions in LAI when compared to leaf emitted chlorophyll
                      fluorescence efficiency. Based on the results modelled
                      inDART, the NIRvH1 normalisation was found to have a
                      superior performance over the other NIRv variations andthe
                      FCVI normalisation. Comparison of the SIF escape fractions
                      suggests that the escape fraction estimated withNIRvH1
                      matched escape fraction extracted from DART more closely.
                      When applied to the experimental droneand airborne nadir
                      canopy SIF data, the agreement between NIRvH1 and FCVI
                      produced chlorophyll fluores-cence efficiency was very high
                      (R2 = 0.93). Nevertheless, NIRvH1 showed higher
                      uncertainties for areas with lowvegetation cover indicating
                      an unaccounted contribution of SIF-soil interactions. The
                      diurnal courses of chlo-rophyll fluorescence efficiency for
                      both approaches differed not significantly from simple
                      normalisation byincoming and apparent photosynthetically
                      active radiation. In conclusion, SIF normalisation with
                      NIRvH1 moreaccurately compensates the effects of canopy
                      structure on top of canopy far red SIF, but when applied to
                      top ofcanopy in-situ data of spring barley, the effects of
                      NIRvH1 and FCVI on the diurnal course of SIF had a
                      similarinfluence.},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / DFG project G:(GEPRIS)491111487 -
                      Open-Access-Publikationskosten / 2022 - 2024 /
                      Forschungszentrum Jülich (OAPKFZJ) (491111487)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)491111487},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001367912100001},
      doi          = {10.1016/j.rse.2024.114521},
      url          = {https://juser.fz-juelich.de/record/1033762},
}