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@ARTICLE{vonHebel:850749,
      author       = {von Hebel, Christian and Matveeva, Maria and Verweij,
                      Elizabeth and Rademske, Patrick and Kaufmann, Manuela Sarah
                      and Brogi, Cosimo and Vereecken, Harry and Rascher, Uwe and
                      van der Kruk, Jan},
      title        = {{U}nderstanding soil and plant interaction by combining
                      ground-based quantitative electromagnetic induction and
                      airborne hyperspectral data},
      journal      = {Geophysical research letters},
      volume       = {45},
      number       = {15},
      issn         = {0094-8276},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {FZJ-2018-04527},
      pages        = {7571-7579},
      year         = {2018},
      abstract     = {For the first time, we combine depth-specific soil
                      information obtained from the quantitative inversion of
                      ground-based multi-coil electromagnetic induction (EMI) data
                      with the airborne hyperspectral vegetation mapping of 1x1 m
                      pixels including sun-induced fluorescence (F) to understand
                      how subsurface structures drive above-surface plant
                      performance. Hyperspectral data were processed to
                      quantitative F and selected biophysical canopy maps, which
                      are proxies for actual photosynthetic rates. These maps
                      showed within-field spatial patterns, which were attributed
                      to paleo-river channels buried at around 1 m depth. The soil
                      structures at specific depths were identified by
                      quantitative EMI data inversions and confirmed by soil
                      samples. Whereas the upper ploughing layer showed minor
                      correlation to the plant data, the deeper subsoil carrying
                      vital plant resources correlated substantially. Linking
                      depth-specific soil information with plant performance data
                      may greatly improve our understanding and the modeling of
                      soil-vegetation-atmosphere exchange processes.},
      cin          = {IBG-3 / IBG-2 / JARA-HPC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)IBG-2-20101118 /
                      $I:(DE-82)080012_20140620$},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / Better predictions with environmental
                      simulation models: optimally integrating new data sources
                      $(jicg41_20100501)$},
      pid          = {G:(DE-HGF)POF3-255 / $G:(DE-Juel1)jicg41_20100501$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000443129500038},
      doi          = {10.1029/2018GL078658},
      url          = {https://juser.fz-juelich.de/record/850749},
}