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@ARTICLE{PascualVenteo:1050505,
      author       = {Pascual-Venteo, Ana B. and Pérez-Suay, Adrián and Morata,
                      Miguel and Moncholí, Adrián and Cendrero-Mateo, Maria
                      Pilar and Servera, Jorge Vicent and Siegmann, Bastian and
                      Van Wittenberghe, Shari},
      title        = {{S}pectral {U}nmixing of {A}irborne and {G}round-{B}ased
                      {I}maging {S}pectroscopy for {P}igment-{S}pecific {FAPAR}
                      and {S}un-{I}nduced {F}luorescence {I}nterpretation},
      journal      = {Remote sensing},
      volume       = {18},
      number       = {1},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2026-00273},
      pages        = {146 -},
      year         = {2026},
      abstract     = {Accurate quantification of photosynthetically active
                      radiation absorbed by chlorophyll
                      (𝑓𝐴𝑃𝐴𝑅𝐶ℎ𝑙𝑎) and the corresponding
                      fluorescence quantum efficiency (FQE) is critical for
                      understanding vegetation productivity. In this study, we
                      investigate the retrieval of pigment-specific effective
                      absorbance and Sun-Induced Chlorophyll Fluorescence (SIF)
                      using both airborne hyperspectral imagery (HyPlant) and
                      ground-based field spectroscopy (FloX) over a well-irrigated
                      alfalfa field in northeastern Spain. Spectral unmixing
                      techniques, including Constrained Least Squares (CLS),
                      Potential Function (POT), and Bilinear (BIL) models, were
                      applied to disentangle pigment and background contributions.
                      The CLS approach was identified as the most robust,
                      balancing reconstruction accuracy with physical
                      plausibility. We derived
                      𝑓𝐴𝑃𝐴𝑅𝐶ℎ𝑙𝑎from the
                      abundance-weighted pigment absorbance and combined it with
                      spectrally-integrated SIF to calculate FQE. Comparisons
                      between airborne and ground-based measurements revealed
                      strong agreement, highlighting the potential of this
                      combined methodology. The study demonstrates the
                      applicability of advanced spectral unmixing frameworks for
                      both airborne and proximal sensing data, providing a
                      reliable baseline for photosynthetic efficiency in a healthy
                      crop and establishing a foundation for future stress
                      detection studies.},
      cin          = {IBG-2},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.3390/rs18010146},
      url          = {https://juser.fz-juelich.de/record/1050505},
}