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@ARTICLE{Tagliabue:873141,
      author       = {Tagliabue, Giulia and Panigada, Cinzia and Dechant,
                      Benjamin and Baret, Frédéric and Cogliati, Sergio and
                      Colombo, Roberto and Migliavacca, Mirco and Rademske,
                      Patrick and Schickling, Anke and Schüttemeyer, Dirk and
                      Verrelst, Jochem and Rascher, Uwe and Ryu, Youngryel and
                      Rossini, Micol},
      title        = {{E}xploring the spatial relationship between
                      airborne-derived red and far-red sun-induced fluorescence
                      and process-based {GPP} estimates in a forest ecosystem},
      journal      = {Remote sensing of environment},
      volume       = {231},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-00586},
      pages        = {111272 -},
      year         = {2019},
      abstract     = {Terrestrial gross primary productivity (GPP) plays an
                      essential role in the global carbon cycle, but the
                      quantification of the spatial and temporal variations in
                      photosynthesis is still largely uncertain. Our work aimed to
                      investigate the potential of remote sensing to provide new
                      insights into plant photosynthesis at a fine spatial
                      resolution. This goal was achieved by exploiting
                      high-resolution images acquired with the FLuorescence
                      EXplorer (FLEX) airborne demonstrator HyPlant. The sensor
                      was flown over a mixed forest, and the images collected were
                      elaborated to obtain two independent indicators of plant
                      photosynthesis. First, maps of sun-induced chlorophyll
                      fluorescence (F), a novel indicator of plant photosynthetic
                      activity, were successfully obtained at both the red and
                      far-red peaks (r2 = 0.89 and p < 0.01, r2 = 0.77
                      and p < 0.01, respectively, compared to top-of-canopy
                      ground-based measurements acquired synchronously with the
                      overflight) over the forested study area. Second, maps of
                      GPP and absorbed photosynthetically active radiation (APAR)
                      were derived using a customised version of the coupled
                      biophysical model Breathing Earth System Simulator (BESS).
                      The model was driven with airborne-derived maps of key
                      forest traits (i.e., leaf chlorophyll content (LCC) and leaf
                      area index (LAI)) and meteorological data providing a
                      high-resolution snapshot of the variables of interest across
                      the study site. The LCC and LAI were accurately estimated
                      (RMSE = 5.66 μg cm−2 and
                      RMSE = 0.51 m2 m−2, respectively) through an
                      optimised Look-Up-Table-based inversion of the
                      PROSPECT-4-INFORM radiative transfer model, ensuring the
                      accurate representation of the spatial variation of these
                      determinants of the ecosystem's functionality. The spatial
                      relationships between the measured F and modelled BESS
                      outputs were then analysed to interpret the variability of
                      ecosystem functioning at a regional scale. The results
                      showed that far-red F is significantly correlated with the
                      GPP (r2 = 0.46, p < 0.001) and APAR (r2 = 0.43,
                      p < 0.001) in the spatial domain and that this
                      relationship is nonlinear. Conversely, no statistically
                      significant relationships were found between the red F and
                      the GPP or APAR (p > 0.05). The spatial relationships
                      found at high resolution provide valuable insight into the
                      critical role of spatial heterogeneity in controlling the
                      relationship between the far-red F and the GPP, indicating
                      the need to consider this heterogeneity at a coarser
                      resolution.},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000484643900052},
      doi          = {10.1016/j.rse.2019.111272},
      url          = {https://juser.fz-juelich.de/record/873141},
}