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@ARTICLE{Buffat:1038099,
      author       = {Buffat, Jim and Pato, Miguel and Alonso, Kevin and Auer,
                      Stefan and Carmona, Emiliano and Maier, Stefan and Müller,
                      Rupert and Rademske, Patrick and Siegmann, Bastian and
                      Rascher, Uwe and Scharr, Hanno},
      title        = {{A} multi-layer perceptron approach for {SIF} retrieval in
                      the {O}2-{A} absorption band from hyperspectral imagery of
                      the {H}y{P}lant airborne sensor system},
      journal      = {Remote sensing of environment},
      volume       = {318},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2025-01146},
      pages        = {114596 -},
      year         = {2025},
      note         = {published under CC-BY-NC and Gold Open Access},
      abstract     = {Accurate estimation of solar-induced fluorescence (SIF)
                      from passively sensed hyperspectral remote sensing data has
                      been identified as fundamental in assessing the
                      photosynthetic activity of plants for various scientific and
                      ecological applications at various spatial scales. Different
                      techniques to derive SIF have been developed over the last
                      decades. In view of ESA’s upcoming Earth Explorer
                      satellite mission FLEX aiming to provide high-quality global
                      imagery for SIF retrieval an increased interest is placed in
                      physical approaches. We present a novel method to retrieve
                      SIF in the O2-A absorption band of hyperspectral imagery
                      acquired by the HyPlant sensor system. It aims at a tight
                      integration of physical radiative transfer principles and
                      self-supervised neural network training. To this end, a set
                      of spatial and spectral constraints and a specific loss
                      formulation are adopted. In a validation study we find good
                      agreement between our approach and established retrieval
                      methods as well as with in-situ top-of-canopy SIF
                      measurements. In two application studies, we additionally
                      find evidence that the estimated SIF (i) satisfies a
                      first-order model of diurnal SIF variation and (ii) locally
                      adapts the estimated optical depth in topographically
                      variable terrain.},
      cin          = {IAS-8 / IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IAS-8-20210421 / I:(DE-Juel1)IBG-2-20101118},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / 2173 - Agro-biogeosystems:
                      controls, feedbacks and impact (POF4-217)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001399725900001},
      doi          = {10.1016/j.rse.2024.114596},
      url          = {https://juser.fz-juelich.de/record/1038099},
}