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@INPROCEEDINGS{Matveeva:845186,
      author       = {Matveeva, Maria and von Hebel, Christian and Krieger, Vera
                      and Marke, Tobias and Rademske, Patrick and Damm, Alexander
                      and Cogliati, Sergio and Brogi, Cosimo and Waldhoff, Guido
                      and van der Kruk, Jan and Crewell, Susanne and Rascher, Uwe},
      title        = {{L}inking spatial and temporal {F}luorescence patterns to
                      soil and atmospheric properties in a heterogeneous
                      agriculture landscape},
      reportid     = {FZJ-2018-02489},
      year         = {2018},
      abstract     = {There are strong interactions between soil properties,
                      plant growth and atmosphere. We use sun-induced Fluorescence
                      (F) to obtain information about the plant physiological
                      status that can be linked to soil and atmospheric
                      properties, improving our understanding of energy and matter
                      flows. F is a remote sensing signal closely related to the
                      actual rate of photosynthesis and vegetation stress. It
                      reflects functional limitations of the photosynthetic carbon
                      gain and can be measured in solar and atmospheric absorption
                      lines using high performance spectrometers.We have collected
                      data for spatial analyses using the high performance imaging
                      spectrometer HyPlant, measuring in wavelength ranges 400 –
                      2500 nm and 670 – 780 nm with a spectral resolution of
                      0.26 nm. Data were recorded with a spatial resolution of 3 m
                      per pixel for the entire region (ca. 14×14 km2) and with a
                      1 m resolution for the Selhausen area (ca. 1.5×5 km2) that
                      was better characterized, in particular in terms of the land
                      use classification, soil properties and had an Eddy
                      Covariance (EC) tower.The data was processed using iFLD
                      (Improved Fraunhofer Line Discrimination) and SFM (Spectral
                      Fitting Method). We investigated the within- and
                      between-species variability of red and far-red fluorescence
                      and vegetation indices. We have chosen fields with the same
                      crop type and found the distributions of F for the main most
                      active regional crops at the measurement time such as sugar
                      beet, potato and corn. We have found that the variability of
                      the red and far-red fluorescence, PRI and Simple Ratio
                      vegetation indexes is normally distributed. Broader
                      distributions are caused by structural effects (growing
                      canopies) or canopy senescence.Recently, it was shown that
                      the within-field inhomogeneity of F caused by differences in
                      plant performance is related to specific subsurface
                      structures identified by quantitative multi-coil EMI data
                      inversions. The inverted electrical conductivity of the
                      ploughing layer showed minor correlation to fluorescence
                      data, while the correlation between the subsoil conductivity
                      and far-red fluorescence indicate a significant influence of
                      the subsoil on the plant performance, especially during dry
                      periods. In addition to spatially resolved airborne data
                      measured once per year, temporally-resolved passive
                      measurements of F for the chosen crop (sugar beet) were
                      performed in 2017 from the middle of June to the end of
                      October using the hyperspectral field instrument FloxBox.
                      The FloxBox was installed on the same location as the EC
                      tower to allow linking the plant functioning and atmospheric
                      changes. A huge dataset collected and processed during the
                      last years allows us to perform detailed analyses of
                      interactions within the soil-plant-atmosphere system.},
      month         = {Apr},
      date          = {2018-04-04},
      organization  = {International conference on
                       Terrestrial Systems Research:
                       Monitoring, Prediction and High
                       Performance Computing, Bonn (Germany),
                       4 Apr 2018 - 6 Apr 2018},
      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/845186},
}