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@MASTERSTHESIS{Busch:872668,
      author       = {Busch, Carsten},
      othercontributors = {Krieger, Vera and Rascher, Uwe},
      title        = {{U}ntersuchungen von nicht-destruktiven {V}erfahren zur
                      {M}essung von {K}ohlenstoffakkumulation in {P}flanzen:
                      {S}onneninduzierte {C}hlorophyllfluoreszenz und
                      {E}ddy-{K}ovarianz},
      school       = {Köln},
      type         = {Masterarbeit},
      reportid     = {FZJ-2020-00159},
      pages        = {91 p.},
      year         = {2019},
      note         = {Masterarbeit, Köln, 2019},
      abstract     = {Vegetation drives 90 $\%$ of the gas exchange between
                      biosphere and atmosphere resulting in the dependency of
                      vital vegetation for stable gas concentrations in the
                      atmosphere. The commonly used method for measuring gas
                      fluxes is eddy covariance (EC), which measures the
                      difference between incoming and outcoming gas and specifies
                      these measurements on a source region called footprint.
                      Another method for quantifying gas fluxes is sun-induced
                      chlorophyll fluorescence (SIF), which is an electromagnetic
                      signal in a spectral region between 640 and 800 nm emitted
                      by plants during photosynthesis. SIF correlates strongly
                      with the photosynthetic efficiency and therefore with the
                      assimilation of carbon. In the following thesis a new method
                      for linking SIF with gross primary production (GPP) is
                      postulated. The Method uses the EC-Footprint for spatially
                      weighting SIF and GPP. The used footprints were subsequently
                      divided in different percentages. The aim of this thesis is
                      the analysis of the correlation between SIF and GPP
                      regarding the use of different percentages of the EC
                      footprint. Hyperspectral scenes were taken with the sensor
                      HyPlant on four days during summer of 2018. With these
                      scenes SIF can be estimated due to the iFLD method which
                      uses two oxygen absorption bands at 678 and 760 nm. Two
                      additional SIF products were considered: F Ratio describes
                      the ratio between the estimated F 687 and F 760 . F tot is
                      characterized by the total Fluorescence of the entire
                      emission spectrum. GPP were estimated with the measured net
                      ecosystem exchange (NEE) by the method of REICHSTEIN et al.
                      (2005). The estimation of the footprints was calculated by
                      the method of KORMANN $\&$ MEIXNER (2001). A script written
                      in python spatially matched and read the different data
                      sets. Afterwards the script exported values of GPP and SIF
                      for different percentages of the footprint, which were used
                      to calculate the coefficient of determination per percentage
                      per statio per SIF product. The results show a strong
                      correlation with the use of small percentages of the
                      footprint for the northern station, while the southern and
                      both stations combined show no or small correlation in all
                      percentages of the footprint. The extent of the fields could
                      play an important role in the calculations due to the larger
                      extent of the footprints. Higher percentages overlap the
                      fields boundaries and therefore bordering plant species
                      could manipulate the results. However, the results of the
                      northern station show a possible use of the method for
                      future investigations.},
      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)19},
      url          = {https://juser.fz-juelich.de/record/872668},
}