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@ARTICLE{Yang:873142,
      author       = {Yang, Peiqi and van der Tol, Christiaan and Verhoef, Wout
                      and Damm, Alexander and Schickling, Anke and Kraska,
                      Thorsten and Muller, Onno and Rascher, Uwe},
      title        = {{U}sing reflectance to explain vegetation biochemical and
                      structural effects on sun-induced chlorophyll fluorescence},
      journal      = {Remote sensing of environment},
      volume       = {231},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-00587},
      pages        = {110996 -},
      year         = {2019},
      abstract     = {The growing availability of global measurements of
                      sun-induced chlorophyll fluorescence (SIF) can help in
                      improving crop monitoring, especially the monitoring of
                      photosynthetic activity. However, variations in
                      top-of-canopy (TOC) SIF cannot be directly interpreted as
                      physiological changes because of the confounding effects of
                      vegetation biochemistry (i.e. pigments, dry matter and
                      water) and structure. In this study, we propose an approach
                      of using radiative transfer models (RTMs) and TOC
                      reflectance to estimate the biochemical and structural
                      effects on TOC SIF, as a necessary step in retrieving
                      physiological information from TOC SIF. The approach was
                      assessed by using airborne (HyPlant) reflectance and SIF
                      data acquired over an agricultural experimental farm in
                      Germany on two days, before and during a heat event in
                      summer 2015 with maximum temperatures of 27°C and 34°C,
                      respectively. The results show that over $76\%$ variation
                      among different crops in SIF observations was explained by
                      variation in vegetation biochemistry and structure. In
                      addition, the changes of vegetation biochemistry and
                      structure explained as much as $73\%$ variation between the
                      two days in far-red SIF, and $40\%$ variation in red SIF.
                      The remaining unexplained variation was mostly attributed to
                      the variability in physiological status. We conclude that
                      reflectance provides valuable information to account for
                      biochemical and structural effects on SIF and to advance
                      analysis of SIF observations. The combination of RTMs,
                      reflectance and SIF opens new pathways to detect vegetation
                      biochemical, structural and physiological changes.},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000484643900064},
      doi          = {10.1016/j.rse.2018.11.039},
      url          = {https://juser.fz-juelich.de/record/873142},
}