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@ARTICLE{Rudolph:173378,
      author       = {Rudolph, S. and van der Kruk, J. and von Hebel, C. and Ali,
                      M. and Herbst, M. and Montzka, C. and Pätzold, S. and
                      Robinson, D. A. and Vereecken, H. and Weihermüller, L.},
      title        = {{L}inking satellite derived {LAI} patterns with subsoil
                      heterogeneity using large-scale ground-based electromagnetic
                      induction measurements},
      journal      = {Geoderma},
      volume       = {241-242},
      issn         = {0016-7061},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2014-06788},
      pages        = {262 - 271},
      year         = {2015},
      abstract     = {Patterns in crop development and yield are often directly
                      related to lateral and vertical changes in soil texture
                      causing changes in available water and resource supply for
                      plant growth, especially under dry conditions. Relict
                      geomorphologic features, such as old river channels covered
                      by shallow sediments can challenge assumptions of uniformity
                      in precision agriculture, subsurface hydrology, and crop
                      modeling. Hence a better detection of these subsurface
                      structures is of great interest. In this study, the origins
                      of narrow and undulating leaf area index (LAI) patterns
                      showing better crop performance in large scale
                      multi-temporal satellite imagery were for the first time
                      interpreted by proximal soil sensor data. A multi-receiver
                      electromagnetic induction (EMI) sensor measuring soil
                      apparent electrical conductivity (ECa) for six depths of
                      exploration (DOE) ranging from 0–0.25 to 0–1.9 m was
                      used as reconnaissance soil survey tool in combination with
                      selected electrical resistivity tomography (ERT) transects,
                      and ground truth texture data to investigate lateral and
                      vertical changes of soil properties at ten arable fields.
                      The moderate to excellent spatial consistency (R2
                      0.19–0.82) of ECa patterns and LAI crop marks that
                      indicate a higher water storage capacity as well as the
                      increased correlations between large-offset ECa data and the
                      subsoil clay content and soil profile depth, implies that
                      along this buried paleo-river structure the subsoil is
                      mainly responsible for better crop development in drought
                      periods. Furthermore, observed stagnant water in the subsoil
                      indicates that this paleo-river structure still plays an
                      important role in subsurface hydrology. These insights
                      should be considered and implemented in local hydrological
                      as well as crop models},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / 255 - Terrestrial Systems: From Observation to
                      Prediction (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255 / G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000348083700025},
      doi          = {10.1016/j.geoderma.2014.11.015},
      url          = {https://juser.fz-juelich.de/record/173378},
}