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@ARTICLE{Buffat:1033976,
      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} {M}ulti-{L}ayer {P}erceptron {A}pproach for {SIF}
                      {R}etrieval in the {O}2-{A} {A}bsorption band from
                      {H}yperspectral {I}magery of the {H}y{P}lant {A}irborne
                      {S}ensor {S}ystem},
      reportid     = {FZJ-2024-06812},
      year         = {2024},
      abstract     = {Accurate estimation of solar-induced fluorescence (SIF)
                      from passively sensedhyperspectral remote sensing data has
                      been identified as instrumental in assessingthe
                      photosynthetic activity of plants for various scientific and
                      ecologicalapplications at various spatial scales. Different
                      techniques to derive SIFhave been developed over the last
                      decades. In view of ESA’s upcoming EarthExplorer satellite
                      mission FLEX aiming to provide high-quality global
                      imageryfor SIF retrieval an increased interest is placed in
                      physical approaches.We present a novel method to retrieve
                      SIF in the O2-A absorption band ofhyperspectral imagery
                      acquired by the HyPlant sensor system. It aims at atight
                      integration of physical radiative transfer principles and
                      self-supervisedneural network training. To this end, a set
                      of spatial and spectral constraintsand a specific loss
                      formulation are adopted. In a validation study we find
                      goodagreement between our approach and established retrieval
                      methods as wellas with in-situ top-of-canopy SIF
                      measurements. In two application studies,we additionally
                      find evidence that the estimated SIF (i) satisfies a
                      first-ordermodel of diurnal SIF variation and (ii) locally
                      adapts the estimated opticaldepth in topographically
                      variable terrain.},
      cin          = {IAS-8 / IBG-2},
      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)25},
      url          = {https://juser.fz-juelich.de/record/1033976},
}