1887

Abstract

Summary

Precision agriculture applications rely on highly detailed information on variations in soil properties. This demand has led to recent developments in EMI instrumentation, resulting in stable and high data quality. The reliability of the data enables real non-linear inversion providing true formation resistivity with depth. With the aim of mapping soil heterogeneity, an EMI survey has been carried out in the central part of Jutland, Denmark. The collected data were carefully processed prior to inversion in order to remove any couplings from man-made conductors such as buried electrical cables, which can cause errors in the lithological interpretation. The data were subsequently modelled with a 1D layered spatially constrained inversion which takes the entire EMI data geometry into account. The inversion results gives a detailed quasi tree-dimensional image of the survey area, revealing several small scale resistivity variations which corresponds well with existing geological knowledge.

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/content/papers/10.3997/2214-4609.201413833
2015-09-06
2024-04-23
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References

  1. Auken, E., Christiansen, A.V., Kirkegaard, C., Fiandaca, G., Schamper, C., Behroozmand, A.A., Bin-ley, A., Nielsen, E., Efferso, F., Christensen, N.B., Sorensen, K. I., Foged, N. and Vignoli, G.
    [2014] An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data. Exploration Geophysics.
    [Google Scholar]
  2. Christiansen, A.V. and Auken, E.
    [2010] A global measure for depth of investigation. Geophysics, 77(4), WB171–WB177.
    [Google Scholar]
  3. Danielsen, J.E., Auken, E., Jorgensen, F., Sondergaard, V.H. and Sorensen, K.I.
    [2003] The application of the transient electromagnetic method in hydrogeophysical surveys. Journal of Applied Geophysics, 53(4), 181–198
    [Google Scholar]
  4. Hedley, C.B., Yule, I.J., Eastwood, C.R., Shepherd, T.G. and Arnold, G.
    [2004] Rapid identification of soil textural and management zones using electromagnetic induction sensing of soils. Australian Journal of Soil Research, 42, 389–400
    [Google Scholar]
  5. Huth, N.I. and Poulton, P.L.
    [2007] An electromagnetic induction method for monitoring variation in soil moisture in agroforestry systems. Australian Journal of Soil Research, 45, 63–72
    [Google Scholar]
  6. Lavoue, F., van der Kruk, J., Rings, J., Andre, F., Moghadas, D., Huisman, J.A., Lambot, S., Wei-hermüller, L., Vanderborght, J. and Vereecken, H.
    [2010] Electromagnetic induction calibration us-ing apparent electrical conductivity modelling based on electrical resistivity tomography. Near Surface Geophysics, 8, 553–561
    [Google Scholar]
  7. Viezzoli, A., Christiansen, A.V., Auken, E. and Sorensen, K.I.
    [2008] Quasi-3D modeling of airborne TEM data by spatially constrained inversion. Geophysics, 73(3), F105–F113.
    [Google Scholar]
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