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@ARTICLE{PilarCendreroMateo:864851,
      author       = {Pilar Cendrero-Mateo, M. and Wieneke, Sebastian and Damm,
                      Alexander and Alonso, Luis and Pinto, Francisco and Moreno,
                      Jose and Guanter, Luis and Celesti, Marco and Rossini, Micol
                      and Sabater, Neus and Cogliati, Sergio and Julitta, Tommaso
                      and Rascher, Uwe and Goulas, Yves and Aasen, Helge and
                      Pacheco-Labrador, Javier and Mac Arthur, Alasdair},
      title        = {{S}un-{I}nduced {C}hlorophyll {F}luorescence {III}:
                      {B}enchmarking {R}etrieval {M}ethods and {S}ensor
                      {C}haracteristics for {P}roximal {S}ensing},
      journal      = {Remote sensing},
      volume       = {11},
      number       = {8},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2019-04498},
      pages        = {962},
      year         = {2019},
      abstract     = {The interest of the scientific community on the remote
                      observation of sun-induced chlorophyll fluorescence (SIF)
                      has increased in the recent years. In this context,
                      hyperspectral ground measurements play a crucial role in the
                      calibration and validation of future satellite missions. For
                      this reason, the European cooperation in science and
                      technology (COST) Action ES1309 OPTIMISE has compiled three
                      papers on instrument characterization, measurement setups
                      and protocols, and retrieval methods (current paper). This
                      study is divided in two sections; first, we evaluated the
                      uncertainties in SIF retrieval methods (e.g., Fraunhofer
                      line depth (FLD) approaches and spectral fitting method
                      (SFM)) for a combination of off-the-shelf commercial
                      spectrometers. Secondly, we evaluated how an erroneous
                      implementation of the retrieval methods increases the
                      uncertainty in the estimated SIF values. Results show that
                      the SFM approach applied to high-resolution spectra provided
                      the most reliable SIF retrieval with a relative error (RE)
                      $≤6\%$ and $<5\%$ for F687 and F760, respectively.
                      Furthermore, although the SFM was the least affected by an
                      inaccurate definition of the absorption spectral window (RE
                      = $5\%)$ and/or interpolation strategy (RE = $15–30\%),$
                      we observed a sensitivity of the SIF retrieval for the
                      simulated training data underlying the SFM model
                      implementation},
      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:000467646800072},
      doi          = {10.3390/rs11080962},
      url          = {https://juser.fz-juelich.de/record/864851},
}