IEEE Geoscience and Remote Sensing Magazine - March 2021 - 183

a riverine plain, " Geophysics, vol. 76, no. 2, pp. B43-B53, 2011.
doi: 10.1190/1.3537834.
[31]	 C. Bobe, E. Van De Vijver, J. Keller, D. Hanssens, M. Van Meirvenne, and P. De Smedt, " Probabilistic 1-D inversion of frequency-domain electromagnetic data using a Kalman ensemble generator, " IEEE Trans. Geosci. Remote Sens., vol. 58, no. 5,
pp. 3287-3297, 2019. doi: 10.1109/TGRS.2019.2953004.
[32]	 C. G. Farquharson, D. W. Oldenburg, and P. S. Routh, " Simultaneous 1D inversion of loop-loop electromagnetic data for
magnetic susceptibility and electrical conductivity, " Geophysics,
vol. 68, no. 6, pp. 1857-1869, 2003. doi: 10.1190/1.1635038.
[33]	 J. M. Reynolds, An Introduction to Applied and Environmental Geophysics. Chichester, U.K.: Wiley, 1997.
[34]	 A. V. Christiansen and E. Auken, " A global measure for depth of
investigation, " Geophysics, vol. 77, no. 4, pp. 171-177, 2012. doi:
10.1190/geo2011-0393.1.
[35]	 H. Maurer, A. Curtis, and D. E. Boerner, " Recent advances in
optimized geophysical survey design, " Geophysics, vol. 75, no. 5,
pp. 75A177-75A194, 2010. doi: 10.1190/1.3484194.
[36]	 V. Rath and T. Radic, The Use of 3-D Modeling in the Design of a
New Measurement Technique For Near-Surface Surveys. Tulsa, OK:
Society of Exploration Geophysicists, 1998, pp. 477-488.
[37]	 H. Maurer, D. E. Boerner, and A. Curtis, " Design strategies
for electromagnetic geophysical surveys, " Inv. Problems, vol.
16, no.  5, pp. 1097-1117, 2000. doi: 10.1088/0266-5611/16/
5/302.
[38]	 K. Chaloner and I. Verdinelli, " Bayesian experimental design:
A review, " Stat. Sci., vol. 10, no. 3, pp. 273-304, 1995. doi:
10.1214/ss/1177009939.
[39]	 A. R. Schmidt et al., EAC Guidelines For the Use of Geophysics in
Archaeology: Questions to Ask and Points to Consider. Namur, Belgium: Univ. of Bradford, 2015.
[40]	 D. Beamish, " Low induction number, ground conductivity
meters: A correction procedure in the absence of magnetic effects, " J. Appl. Geophys., vol. 75, no. 2, pp. 244-253, 2011. Doi:
10.1016/j.jappgeo.2011.07.005.
[41]	 D. Hanssens, S. Delefortrie, J. De Pue, M. Van Meirvenne, and P.
De Smedt, " Frequency-domain electromagnetic forward and sensitivity modeling: Practical aspects of modeling a magnetic dipole
in a multilayered half-space, " IEEE Geosci. Remote Sens. Mag., vol. 7,
no. 1, pp. 74-85, 2019. doi: 10.1109/MGRS.2018.2881767.
[42]	 R. Cockett, S. Kang, L. J. Heagy, A. Pidlisecky, and D. W. Oldenburg, " SimPEG: An open source framework for simulation
and gradient based parameter estimation in geophysical applications, " Comput. Geosci., vol. 85, pp. 142-154, Dec. 2015. doi:
10.1016/j.cageo.2015.09.015.
[43]	 C. Rücker, T. Günther, and F. M. Wagner, " pyGIMLi: An opensource library for modelling and inversion in geophysics, " Comput. Geosci., vol. 109, pp. 106-123, Dec. 2017. doi: 10.1016/j.
cageo.2017.07.011.
[44]	 A. Raiche, " An integral equation approach to three-dimensional
modelling, " Geophys. J. Int., vol. 36, no. 2, pp. 363-376, 1973.
doi: 10.1111/j.1365-246X.1974.tb03645.x.
[45]	 J. R. Delsman et al., " Large-scale, probabilistic salinity mapping
using airborne electromagnetics for groundwater management

MARCH 2021

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

in Zeeland, the Netherlands, " Environ. Res. Lett., vol. 13, no. 8,
pp. 1-12, 2018. doi: 10.1088/1748-9326/aad19e.
[46]	 E. Badewa, A. Unc, M. Cheema, V. Kavanagh, and L. Galagedara,
" Soil moisture mapping using multi-frequency and multi-coil
electromagnetic induction sensors on managed podzols, " Agronomy, vol. 8, no. 10, p. 224, 2018. doi: 10.3390/agronomy8100224.
[47]	 R. C. Wilson, R. S. Freeland, J. B. Wilkerson, and W. E. Hart, " Interpolation and Data collection error sources for electromagnetic
induction-soil electrical conductivity mapping, " Appl. Eng. Agricult.,
vol. 21, no. 2, pp. 277-283, 2005. doi: 10.13031/2013.18142.
[48]	 P. Banys, E. Engler, F. Heymann, and T. Noack, " Timestamp
discrepancies in multisensor NMEA environment during
survey voyage, " Sci. J. Maritime Univ. Szczecin, vol. 36, pp.
22-26, 2013.
[49]	 P. D. Smedt, T. Saey, E. Meerschman, J. De Reu, W. De Clercq,
and M. Van Meirvenne, " Comparing apparent magnetic susceptibility measurements of a multi-receiver EMI sensor with topsoil and profile magnetic susceptibility data over weak magnetic
anomalies, " Archaeol. Prospect., vol. 21, no. 2, pp. 103-112, 2014.
doi: 10.1002/arp.1467.
[50]	 A. Tabbagh, " What is the best coil orientation in the Slingram electromagnetic prospecting method? " Archaeometry, vol. 28, no. 2, pp.
185-196, 1986. doi: 10.1111/j.1475-4754.1986.tb00386.x.
[51]	 J. Triantafilis, I. O. A. Odeh, B. Minasny, and A. B. McBratney,
" Elucidation of physiographic and hydrogeological features of
the lower Namoi valley using fuzzy k-means classification of
EM34 data, " Environ. Model. Softw., vol. 18, no. 7, pp. 667-680,
2003. doi: 10.1016/S1364-8152(03)00053-7.
[52]	 Z. Jiang, D. Mallants, L. Peeters, L. Gao, C. Soerensen, and
G. Mariethoz, " High-resolution paleovalley classification from
airborne electromagnetic imaging and deep neural network
training using digital elevation model data, " Hydrol. Earth Syst.
Sci., vol. 23, no. 6, pp. 2561-2580, 2019. doi: 10.5194/hess-232561-2019.
[53]	 R. Sibson, A Brief Description of Natural Neighbor Interpolation.
Chichester, U.K.: Wiley, 1981.
[54]	 G. Lange and K. Seidel, Electromagnetic Methods. Berlin: SpringerVerlag, 2007.
[55]	 F. S. Grant and G. F. West, Interpretation Theory in Applied Geophysics, New York: McGraw-Hill, 1965.
[56]	 F. C. Frischknecht, V. F. Labson, B. R. Spies, and W. L. Anderson, " Profiling methods using small sources, " in Electromagnetic
Methods in Applied Geophysics, M. N. Nabighian, Ed. Tulsa, OK:
Society of Exploration Geophysicists, 1991, pp. 105-269.
[57]	 F. Pedregosa et al., " Scikit-learn: Machine learning in Python, "
J. Mach. Learn. Res., vol. 12, pp. 2825-2830, 2011.
[58]	 M. E. Tipping, " Sparse Bayesian learning and the relevance
vector machine, " J. Mach. Learn. Res., vol. 1, pp. 211-244, June
2001.
[59]	 D. J. C. MacKay, " Bayesian interpolation, " Neural Comput.,
vol. 4, no. 3, pp. 415-447, 1991. doi: 10.1162/neco.1992.4.3.415.
[60]	 V. Puzyrev, " Deep learning electromagnetic inversion with
convolutional neural networks, " Geophys. J. Int., vol. 218, no. 2,
pp. 817-832, 2018. doi: 10.1093/gji/ggz204.
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