% 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{Cogliati:866589,
      author       = {Cogliati, Sergio and Celesti, Marco and Cesana, Ilaria and
                      Miglietta, Franco and Genesio, Lorenzo and Julitta, Tommaso
                      and Schuettemeyer, Dirk and Drusch, Matthias and Rascher,
                      Uwe and Jurado, Pedro and Colombo, Roberto},
      title        = {{A} {S}pectral {F}itting {A}lgorithm to {R}etrieve the
                      {F}luorescence {S}pectrum from {C}anopy {R}adiance},
      journal      = {Remote sensing},
      volume       = {11},
      number       = {16},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2019-05670},
      pages        = {1840 -},
      year         = {2019},
      abstract     = {Retrieval of Sun-Induced Chlorophyll Fluorescence (F)
                      spectrum is one of the challenging perspectives for further
                      advancing F studies towards a better characterization of
                      vegetation structure and functioning. In this study, a
                      simplified Spectral Fitting retrieval algorithm suitable for
                      retrieving the F spectrum with a limited number of
                      parameters is proposed (two parameters for F). The novel
                      algorithm is developed and tested on a set of radiative
                      transfer simulations obtained by coupling SCOPE and MODTRAN5
                      codes, considering different chlorophyll content, leaf area
                      index and noise levels to produce a large variability in
                      fluorescence and reflectance spectra. The retrieval accuracy
                      is quantified based on several metrics derived from the F
                      spectrum (i.e., red and far-red peaks, O2 bands and
                      spectrally-integrated values). Further, the algorithm is
                      employed to process experimental field spectroscopy
                      measurements collected over different crops during a
                      long-lasting field campaign. The reliability of the
                      retrieval algorithm on experimental measurements is
                      evaluated by cross-comparison with F values computed by an
                      independent retrieval method (i.e., SFM at O2 bands). For
                      the first time, the evolution of the F spectrum along the
                      entire growing season for a forage crop is analyzed and
                      three diverse F spectra are identified at different growing
                      stages. The results show that red F is larger for young
                      canopy; while red and far-red F have similar intensity in an
                      intermediate stage; finally, far-red F is significantly
                      larger for the rest of the season},
      cin          = {IBG-2},
      ddc          = {620},
      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:000484387600003},
      doi          = {10.3390/rs11161840},
      url          = {https://juser.fz-juelich.de/record/866589},
}