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@ARTICLE{Zeng:902689,
      author       = {Zeng, Yelu and Hao, Dalei and Badgley, Grayson and Damm,
                      Alexander and Rascher, Uwe and Ryu, Youngryel and Johnson,
                      Jennifer and Krieger, Vera and Wu, Shengbiao and Qiu, Han
                      and Liu, Yaling and Berry, Joseph A. and Chen, Min},
      title        = {{E}stimating near-infrared reflectance of vegetation from
                      hyperspectral data},
      journal      = {Remote sensing of environment},
      volume       = {267},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2021-04476},
      pages        = {112723 -},
      year         = {2021},
      abstract     = {Disentangling the individual conttibutions from vegetation
                      and soil in measured canopy reflectance is a grand challenge
                      to the remote sensing and ecophysiology communities. Since
                      Solar lnduced chlorophyll Fluorescence (SIF) is tmiquely
                      emitted from vegetation, it can be used to evaluate how well
                      reflectance-based vegetation indices (VIs) can separate the
                      vegetation and soil components. Due to the residual soil
                      background conttibutions, Near-infrared (NIR) reflectance of
                      vegetation (NIRv) and Difference Vegetation index (DVI)
                      present offsets when compared to SIF (i.e., the value of
                      NIRv or DVI is non-zero when SIF is zero). In this study, we
                      proposed a simple framework for estimating the true NIR
                      reflectance ofvegetation from HyperspectraI measurements
                      (NIRvH) with minimal soil impacts. NIRvH takes advantage of
                      the spectral shape variations in ehe red-edge region to
                      minimize the soil effects. We evaluated the capability of
                      NIRvH, NIRv and DVI in isolating the true NIR reflectance of
                      vegetation using the data from both the model-based
                      simulations and Hyperspectral Plant imaging spectrometer
                      (HyPlant) measurements. Benchmarked by simultaneously
                      measured SIF, NIRvH has the smallest offset (0-0.037), as
                      compared to an intermediate offset of 0.047-0.062 from NIRv,
                      and the largest offset of 0.089-0.112 from DVI. The
                      magnicude of the offset can vary with different soil
                      reflectance spectra across spacio-temporal scales, which may
                      lead to bias in the downstream NIRv-based photosynthesis
                      estimates. NIRvH and SIF mea­surements from the sarne
                      sensor platform avoided complications due to different
                      geometry, footprint and time of observation across sensors
                      when studying the radiative transfer of reflected photons
                      and SIF. In addition, NIRvH was primarily determined by
                      canopy structure rather than chlorophyll content and soil
                      brightness. Our work showcases that NIRvH is promising for
                      retrieving canopy structure parameters such as leaf area
                      index and leaf inclination angle, and for estimating
                      fluorescence yield with current and forthcoming
                      hyperspectral satellite measmements.},
      cin          = {IBG-2},
      ddc          = {550},
      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},
      UT           = {WOS:000714462800005},
      doi          = {10.1016/j.rse.2021.112723},
      url          = {https://juser.fz-juelich.de/record/902689},
}