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@ARTICLE{Altdorff:203399,
      author       = {Altdorff, D. and Bechtold, M. and van der Kruk, J. and
                      Vereecken, H. and Huisman, J. A.},
      title        = {{M}apping peat layer properties with multi-coil offset
                      electromagnetic induction and laser scanning elevation data},
      journal      = {Geoderma},
      volume       = {261},
      issn         = {0016-7061},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2015-05342},
      pages        = {178 - 189},
      year         = {2016},
      abstract     = {Peatlands store large amounts of soil organic carbon (SOC).
                      Depending on their present condition, they act as a source
                      or sink of carbon dioxide. Therefore, peatlands are highly
                      relevant for climate change investigations and there is
                      considerable interest to assess spatial heterogeneity of
                      peat soil properties in order to assess the total amount of
                      stored carbon. However, reliable information about peat
                      properties remains difficult to obtain at the field scale. A
                      potential way to acquire this information is the indirect
                      mapping of easily recordable physical variables that
                      correlate with peat properties, such as the apparent
                      electrical conductivity (ECa). In this study, we aim to
                      explore the potential of multi-coil offset electromagnetic
                      induction (EMI) measurements to provide spatial estimates of
                      SOC content, bulk density, and SOC stock for a highly
                      variable and disturbed peatland relict (~ 35 ha) with a
                      remaining peat layer thickness of less than 1 m. EMI
                      measurements comprised six integral depths that varied from
                      0–0.25 to 0–1.80 m. In combination with ancillary
                      laser-scanning elevation data, a multiple linear regression
                      model was calibrated to reference data from 34 soil cores
                      that were used to calculate integral properties of the upper
                      0.25, 0.5, and 1 m layer, as well as for the total peat
                      layer. Leave-one-out cross-validation for the different
                      depth ranges resulted in a root mean square error of
                      prediction (RMSEP) between 1.36 and $5.16\%$ for SOC
                      content, between 0.108 and 0.183 g cm− 3 for bulk density,
                      and between 3.56 and 9.73 kg m− 2 for SOC stocks, which
                      corresponds to roughly $15\%,$ $10\%,$ and $20\%$ of the
                      total field variability, respectively. The selection of
                      explanatory variables in the regression models showed that
                      the EMI data were important for accurate model predictions,
                      while the topography-based variables mainly acted as noise
                      suppressors. The accuracy of the SOC content estimates
                      roughly equalled the quality of SOC content predictions
                      obtained in previous field applications of the visible-near
                      infrared technique (vis-NIR). The spatial variation of the
                      predicted peat layer properties showed similarities to the
                      former land use distribution. Overall, it was concluded that
                      EMI measurements offer a useful alternative to the
                      established vis-NIR method for SOC content mapping in
                      carbon-rich soils.},
      cin          = {IBG-3},
      ddc          = {550},
      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:000362130900018},
      doi          = {10.1016/j.geoderma.2015.07.015},
      url          = {https://juser.fz-juelich.de/record/203399},
}