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@ARTICLE{Schickling:820879,
      author       = {Schickling, Anke and Matveeva, Maria and Damm, Alexander
                      and Schween, Jan and Wahner, Andreas and Graf, Alexander and
                      Crewell, Susanne and Rascher, Uwe},
      title        = {{C}ombining {S}un-{I}nduced {C}hlorophyll {F}luorescence
                      and {P}hotochemical {R}eflectance {I}ndex {I}mproves
                      {D}iurnal {M}odeling of {G}ross {P}rimary {P}roductivity},
      journal      = {Remote sensing},
      volume       = {8},
      number       = {7},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2016-06143},
      pages        = {574 -},
      year         = {2016},
      abstract     = {Sun-induced chlorophyll fluorescence (F) is a novel remote
                      sensing parameter providing an estimate of actual
                      photosynthetic rates. A combination of this new observable
                      and Monteith’s light use efficiency (LUE) concept was
                      suggested for an advanced modeling of gross primary
                      productivity (GPP). In this demonstration study, we evaluate
                      the potential of both F and the more commonly used
                      photochemical reflectance index (PRI) to approximate the LUE
                      term in Monteith’s equation and eventually improve the
                      forward modeling of GPP diurnals. Both F and the PRI were
                      derived from ground and airborne based spectrometer
                      measurements over two different crops. We demonstrate that
                      approximating dynamic changes of LUE using F and PRI
                      significantly improves the forward modeling of GPP diurnals.
                      Especially in sugar beet, a changing photosynthetic
                      efficiency during the day was traceable with F and
                      incorporating F in the forward modeling significantly
                      improved the estimation of GPP. Airborne data were projected
                      to produce F and PRI maps for winter wheat and sugar beet
                      fields over the course of one day. We detected a significant
                      variability of both, F and the PRI within one field and
                      particularly between fields. The variability of F and PRI
                      was higher in sugar beet, which also showed a physiological
                      down-regulation of leaf photosynthesis. Our results
                      underline the potential of F to serve as a superior
                      indicator for the actual efficiency of the photosynthetic
                      machinery, which is linked to physiological responses of
                      vegetation},
      cin          = {IBG-3 / IBG-2 / IEK-8},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)IBG-2-20101118 /
                      I:(DE-Juel1)IEK-8-20101013},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000382224800044},
      doi          = {10.3390/rs8070574},
      url          = {https://juser.fz-juelich.de/record/820879},
}