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@INPROCEEDINGS{Krieger:872669,
      author       = {Krieger, Vera and Rascher, Uwe},
      collaboration = {Siegmann, Bastian and Emin, Dzhaner and Matveeva, Maria and
                      Muller, Onno and Cogliati, Sergio and Colombo, Roberto and
                      Luessem, Ulrike and Damm, Alexander},
      othercontributors = {Rademske, Patrick and Heid, Paul and Gruenhagen, Lars},
      title        = {{Q}uality assessment of {S}un-{I}nduced {F}luorescence maps
                      from the airborne imaging spectrometer {H}y{P}lant},
      school       = {Rheinische Friedrich-Wilhelms-Universität Bonn},
      reportid     = {FZJ-2020-00160},
      year         = {2019},
      note         = {Since the quality assessment using the different criteria
                      is very extensive, only a part will be covered in this talk
                      while the remaining criteria and their application will be
                      presented in form of a poster (additional contribution: V.
                      Krieger; B. Siegmann; M. Matveeva; P. Rademske; P. Heid; L.
                      Grünhagen; O. Muller; S. Cogliati; A. Damm and U. Rascher
                      – Quantitative assessment of Sun-Induced-Fluorescence maps
                      from HyPlant airborne images using different quality
                      criteria - Part II},
      abstract     = {The ability to investigate the Earth’s environment will
                      be greatly improved by hyperspectral satellite data. The
                      FLuorescence EXplorer (FLEX) will be the first hyperspectral
                      mission designed to monitor the photosynthetic activity of
                      the terrestrial vegetation layer by using a completely novel
                      technique measuring the sun-induced chlorophyll fluorescence
                      (SIF) signal that originates from the core of the
                      photosynthetic machinery. In preparation of the upcoming
                      FLEX satellite mission that will be launched in 2022 a large
                      field campaign, namely FLEXSense, was conducted in summer
                      2018 including representative study sites at several
                      locations in middle and south Europe as well as North
                      America.During the different/various field activities,
                      airborne data was acquired with the hyperspectral airborne
                      imager HyPlant, whichthat consists of two sensor heads. The
                      DUAL module is a line-imaging push-broom sensor, which
                      providinges contiguous spectral information from 370 to 2500
                      nm. The vegetationchlorophyll fluorescence signal is
                      measured with a separate push-broom sensor, the FLUO module,
                      which produces data at high spectral resolution (0.25 nm) in
                      the spectral region of the two oxygen absorption bands
                      covering a range from 670 to 780 nm. Currently, two
                      different algorithms are used routinely to retrieve red
                      (SIF680) and far-red SIF (SIF760) from HyPlant data. Both
                      methods are based on the oxygen absorption bands., but
                      wWhile the improved Fraunhofer Line Depth (iFLD) method
                      employs a semi-empirical atmospheric correction (i.e.,
                      bare-soils), the Spectral Fitting method (SFM) makes useis
                      based onof a physically-based atmospheric modeling (MODTRAN5
                      code). A common method of testing the reliability of
                      remotely-sensed SIF (in this study airborne maps) is the
                      comparison with “ground truth” data. In many cases,
                      however, ground measurements of SIF are not available or are
                      too work-intensive to be measured at regional level. For
                      that reason we developedwant to present an alternative
                      approach how the quality of airborne SIF maps can be
                      assessed. For this purpose we applyhave developed so-called
                      ’quality criteria’, which should help to find errors and
                      artefacts that have arisen during the SIF retrieval. This
                      method was applied to determine the quality of individual
                      SIF maps derived from HyPlant images acquired during the
                      2018 FLEXSense campaign. The application of the proposed
                      quality features proved to be a valuable tool for assessing
                      the quality of SIF maps derived from HyPlant airborne data.
                      Therefore, we propose to apply the different criteria even
                      in the case of a with sufficient number of ground reference
                      measurements are available, as because they provide
                      important additional information about the quality of
                      spatial SIF products is provided, especially when comparing
                      the outputs of different retrieval methods.},
      month         = {Mar},
      date          = {2019-03-05},
      organization  = {International network on remote
                       sensing of terrestrial and aquatic
                       fluorescence, Davos (Switzerland), 5
                       Mar 2019 - 8 Mar 2019},
      subtyp        = {Other},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/872669},
}