TY - GEN
T1 - Mapping soil heterogeneity using spatially constrained inversion of electromagnetic induction data
AU - Pedersen, J. B.
AU - Auken, E.
AU - Christiansen, A. V.
AU - Kristiansen, S. M.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84957939902&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201413833
DO - 10.3997/2214-4609.201413833
M3 - Conference article in proceedings
AN - SCOPUS:84957939902
T3 - 1st Conference on Proximal Sensing Supporting Precision Agriculture - Held at Near Surface Geoscience 2015
SP - 31
EP - 35
BT - 1st Conference on Proximal Sensing Supporting Precision Agriculture - Held at Near Surface Geoscience 2015
PB - European Association of Geoscientists and Engineers
T2 - 1st Conference on Proximal Sensing Supporting Precision Agriculture
Y2 - 6 September 2015 through 10 September 2015
ER -