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@ARTICLE{Damm:15577,
      author       = {Damm, A. and Erler, A. and Hillen, W. and Meroni, M. and
                      Schaepman, M.E. and Verhoef, W. and Rascher, U.},
      title        = {{M}odeling the impact of spectral sensor configurations on
                      the {FLD} retrieval accuracy of sun-induced chlorophyll
                      fluorescence},
      journal      = {Remote sensing of environment},
      volume       = {115},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {PreJuSER-15577},
      pages        = {1882 - 1892},
      year         = {2011},
      note         = {This work was supported by a grant of the European Space
                      Agency (ESA) in the frame of the CEFLES2 campaign (grant no.
                      20802/07/LG) and by a grant of the Swiss University
                      Conference and ETH-Board in frame of the HyperSwissNet
                      project. We also thank the reviewers for their helpful
                      comments.},
      abstract     = {Chlorophyll fluorescence is related to photosynthesis and
                      can serve as a remote sensing proxy for estimating
                      photosynthetic energy conversion and carbon uptake. Recent
                      advances in sensor technology allow remote measurements of
                      the sun-induced chlorophyll fluorescence signal (Fs) at leaf
                      and canopy scale. The commonly used Fraunhofer Line Depth
                      (FLD) principle exploits spectrally narrow atmospheric
                      oxygen absorption bands and relates Fs to the difference of
                      the absorption feature depth of a fluorescensing and a
                      non-fluorescensing surface. However, due to the nature of
                      these narrow bands. Fs retrieval results depend not only on
                      vegetation species type or environmental conditions, but
                      also on instrument technology and processing algorithms.
                      Thus, an evaluation of all influencing factors and their
                      separate quantification is required to further improve Fs
                      retrieval and to allow a reproducible interpretation of Fs
                      signals.Here we present a modeling study that isolates and
                      quantifies the impacts of sensor characteristics, such as
                      spectral sampling interval (SSI), spectral resolution (SR),
                      signal to noise ratio (SNR), and spectral shift (SS) on the
                      accuracy of Fs measurements in the oxygen A band centered at
                      760 nm (O-2-A). Modeled high resolution radiance spectra
                      associated with known Fs were spectrally resampled, taking
                      into consideration the various sensor properties. Fs was
                      retrieved using the three most common FLD retrieval methods,
                      namely the original FLD method (sFLD), the modified FLD
                      (3FLD) and the improved FLD (iFLD). The analysis
                      investigates parameter ranges, which are representative for
                      field and airborne instruments currently used in Fs research
                      (e.g., ASD FieldSpec, OceanOptics HR, AirFLEX, AISA, APEX,
                      CASI, and MERIS).Our results show that the most important
                      parameter affecting the retrieval accuracy is SNR, SR
                      accounts for <= $40\%$ of the error, the SSI for <= $12\%,$
                      and SS for <= $7\%$ of the error. A trade-off study revealed
                      that high SR can partly compensate for low SNR. There is a
                      strong interrelation between all parameters and the impact
                      of specific parameters can compensate or amplify the
                      influence of others. Hence, the combination of all
                      parameters must be considered by the evaluation of sensors
                      and their potential for Fs retrieval. In general, the
                      standard FLD method strongly overestimates Fs, while 3FLD
                      and iFLD provide a more accurate estimation of Fs. We
                      conclude that technical sensor specifications and the
                      retrieval methods cause a significant variability in
                      retrieved Fs signals. Results are intended to be one
                      relevant component of the total uncertainty budget of Fs
                      retrieval and have to be considered in the interpretation of
                      retrieved Fs signals. (C) 2011 Elsevier Inc. All rights
                      reserved.},
      keywords     = {J (WoSType)},
      cin          = {IBG-2},
      ddc          = {050},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Environmental Sciences / Remote Sensing / Imaging Science
                      $\&$ Photographic Technology},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000292235400008},
      doi          = {10.1016/j.rse.2011.03.011},
      url          = {https://juser.fz-juelich.de/record/15577},
}