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@ARTICLE{Raj:888056,
      author       = {Raj, Rahul and Bayat, Bagher and Lukeš, Petr and Šigut,
                      Ladislav and Homolová, Lucie},
      title        = {{A}nalyzing {D}aily {E}stimation of {F}orest {G}ross
                      {P}rimary {P}roduction {B}ased on {H}armonized {L}andsat-8
                      and {S}entinel-2 {P}roduct {U}sing {SCOPE} {P}rocess-{B}ased
                      {M}odel},
      journal      = {Remote sensing},
      volume       = {12},
      number       = {22},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2020-04634},
      pages        = {3773 -},
      year         = {2020},
      abstract     = {Vegetation top-of-canopy reflectance contains valuable
                      information for estimating vegetation biochemical and
                      structural properties, and canopy photosynthesis (gross
                      primary production (GPP)). Satellite images allow studying
                      temporal variations in vegetation properties and
                      photosynthesis. The National Aeronautics and Space
                      Administration (NASA) has produced a harmonized Landsat-8
                      and Sentinel-2 (HLS) data set to improve temporal coverage.
                      In this study, we aimed to explore the potential and
                      investigate the information content of the HLS data set
                      using the Soil Canopy Observation of Photosynthesis and
                      Energy fluxes (SCOPE) model to retrieve the temporal
                      variations in vegetation properties, followed by the GPP
                      simulations during the 2016 growing season of an evergreen
                      Norway spruce dominated forest stand. We optimized the
                      optical radiative transfer routine of the SCOPE model to
                      retrieve vegetation properties such as leaf area index and
                      leaf chlorophyll, water, and dry matter contents. The
                      results indicated percentage differences less than $30\%$
                      between the retrieved and measured vegetation properties.
                      Additionally, we compared the retrievals from HLS data with
                      those from hyperspectral airborne data for the same site,
                      showing that HLS data preserve a considerable amount of
                      information about the vegetation properties. Time series of
                      vegetation properties, retrieved from HLS data, served as
                      the SCOPE inputs for the time series of GPP simulations. The
                      SCOPE model reproduced the temporal cycle of local flux
                      tower measurements of GPP, as indicated by the high
                      Nash–Sutcliffe efficiency value (>0.5). However, GPP
                      simulations did not significantly change when we ran the
                      SCOPE model with constant vegetation properties during the
                      growing season. This might be attributed to the low
                      variability in the vegetation properties of the evergreen
                      forest stand within a vegetation season. We further observed
                      that the temporal variation in maximum carboxylation
                      capacity had a pronounced effect on GPP simulations. We
                      focused on an evergreen forest stand. Further studies should
                      investigate the potential of HLS data across different
                      forest types, such as deciduous stand.},
      cin          = {IBG-3},
      ddc          = {620},
      cid          = {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)16},
      UT           = {WOS:000594601300001},
      doi          = {10.3390/rs12223773},
      url          = {https://juser.fz-juelich.de/record/888056},
}