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@ARTICLE{Celesti:848294,
      author       = {Celesti, Marco and van der Tol, Christiaan and Cogliati,
                      Sergio and Panigada, Cinzia and Yang, Peiqi and Pinto,
                      Francisco and Rascher, Uwe and Miglietta, Franco and
                      Colombo, Roberto and Rossini, Micol},
      title        = {{E}xploring the physiological information of {S}un-induced
                      chlorophyll fluorescence through radiative transfer model
                      inversion},
      journal      = {Remote sensing of environment},
      volume       = {215},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2018-03544},
      pages        = {97 - 108},
      year         = {2018},
      abstract     = {A novel approach to characterize the physiological
                      conditions of plants from hyperspectral remote sensing data
                      through the numerical inversion of a light version of the
                      SCOPE model is proposed. The combined retrieval of
                      vegetation biochemical and biophysical parameters and
                      Sun-induced chlorophyll fluorescence (F) was investigated
                      exploiting high resolution spectral measurements in the
                      visible and near-infrared spectral regions. First, the
                      retrieval scheme was evaluated against a synthetic dataset.
                      Then, it was applied to very high resolution (sub-nanometer)
                      canopy level spectral measurements collected over a lawn
                      treated with different doses of a herbicide (Chlorotoluron)
                      known to instantaneously inhibit both Photochemical and
                      Non-Photochemical Quenching (PQ and NPQ, respectively). For
                      the first time the full spectrum of canopy F, the
                      fluorescence quantum yield (ΦF), as well as the main
                      vegetation parameters that control light absorption and
                      reabsorption, were retrieved concurrently using canopy-level
                      high resolution apparent reflectance (ρ*) spectra. The
                      effects of pigment content, leaf/canopy structural
                      properties and physiology were effectively discriminated.
                      Their combined observation over time led to the recognition
                      of dynamic patterns of stress adaptation and stress
                      recovery. As a reference, F values obtained with the model
                      inversion were compared to those retrieved with state of the
                      art Spectral Fitting Methods (SFM) and SpecFit retrieval
                      algorithms applied on field data. ΦF retrieved from ρ* was
                      eventually compared with an independent biophysical model of
                      photosynthesis and fluorescence. These results foster the
                      use of repeated hyperspectral remote sensing observations
                      together with radiative transfer and biochemical models for
                      plant status monitoring.},
      cin          = {IBG-2},
      ddc          = {050},
      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:000440776000009},
      doi          = {10.1016/j.rse.2018.05.013},
      url          = {https://juser.fz-juelich.de/record/848294},
}