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@INPROCEEDINGS{Matveeva:834376,
      author       = {Matveeva, Maria and Rademske, Patrick and Damm, Alexander
                      and Brogi, Cosimo and Waldhoff, Guido and Rascher, Uwe},
      title        = {{S}patial {F}luorescence {P}atterns in a {H}eterogeneous
                      {A}griculture {L}andscape},
      reportid     = {FZJ-2017-04344},
      year         = {2017},
      abstract     = {Spatial Fluorescence patterns in a heterogeneous
                      agriculture landscapeMaria Matveeva1, Patrick Rademske1,
                      Alexander Damm2, Cosimo Brogi3, Guido Waldhoff4, and Uwe
                      Rascher11 Institute of Bio- and Geosciences, IBG-2: Plant
                      Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str.,
                      52425 Jülich, Germany2 Remote Sensing Laboratories,
                      University of Zurich, Winterthurerstrasse 190, 8057 Zurich,
                      Switzerland3 Institute of Bio- and Geosciences, IBG-3:
                      Agrosphere, Forschungszentrum Jülich GmbH, Leo-Brandt-Str.,
                      52425 Jülich, Germany4 Institute of Geography, University
                      of Cologne, Albertus-Magnus-Platz , D-50923 Cologne,
                      GermanySun induced fluorescence (F) is a remote sensing
                      signal that is emitted from the core of the photosynthetic
                      machinery. The fluorescence signal has the potential to
                      quantify the actual rate of photosynthesis and is closely
                      related to vegetation stress and reflects functional
                      limitations of photosynthetic carbon gain. F is a rather
                      weak signal, but can be measured in the solar and
                      atmospheric absorption lines using high performance
                      spectrometers.The increased interest of the scientific
                      community to the remote sensing of sun-induced chlorophyll
                      fluorescence (F) leads to a large number of fruitful and
                      interesting experiments on the field scale. On the other
                      side, satellite data became available, from which
                      fluorescence on the global scale can be derived. However, it
                      is still an open question, how representative the results of
                      field experiments are for a larger (regional) scale.
                      Fluorescence of the same crop strongly varies depending on
                      the season, soil moisture, nutrient availability, etc.To
                      evaluate the heterogeneity of fluorescence (F) and
                      vegetation indices (VI) within and between fields and for a
                      better understanding of the link between F and biophysical
                      parameters, the agriculture area in Nordrhein-Westfalen
                      (Germany) was chosen for measurements. We have collected
                      data using the high performance imaging spectrometer
                      HyPlant, which is a dedicated fluorescence spectrometer and
                      allows measuring radiance in the wavelength range between
                      400 nm and 2500 nm, and between 670 nm and 780 nm with a
                      high spectral resolution of 0.26 nm allowing the measurement
                      of both fluorescence peaks. Data were recorded with a
                      spatial resolution of 3 meter per pixel for the whole region
                      (ca. 14×14 km) and with 1 m resolution for the Selhausen
                      area (ca. 1.5×5 km). That area was better characterized in
                      terms of land use classification, soil moisture, geophysical
                      measurements, leaf area index (LAI), defined soil properties
                      and the presence of an Eddy Covariance tower.In this work,
                      we investigate the within and between species variability of
                      red, far-red, integrated fluorescence and vegetation
                      indices, from which such biophysical parameters as LAI,
                      chlorophyll content, fractional cover etc. can be
                      calculated. Considering the land use classification it is
                      possible to choose the fields with the same crop type in the
                      whole investigated area and find a distribution of F
                      emission of main regional crops such as winter wheat, winter
                      barley, sugar beet and corn.},
      month         = {Apr},
      date          = {2017-04-19},
      organization  = {10th EARSeL SIG Imaging Spectroscopy
                       Workshop, Zurich (Switzerland), 19 Apr
                       2017 - 21 Apr 2017},
      subtyp        = {After Call},
      cin          = {IBG-2 / IBG-3},
      cid          = {I:(DE-Juel1)IBG-2-20101118 / I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/834376},
}