Abstract
Proximal ground conductivity sensors produce high spatial resolution maps that integrate the bulk electrical conductivity (ECa) of the soil profile. For meaningful interpretation, variability in conductivity maps must either be inverted to profile conductivity or be directly calibrated to profile properties. Penetrating apparent electrical conductivity (ECa–P) sensors produce high depth resolution data at relatively fewer spatial locations. The objectives of this research were to (i) investigate the profile source of ECa in claypan soils via a detailed examination of ECa–P profiles; (ii) examine the potential for feature detection with ECa–P in claypan soils; and (iii) determine if ECa sensors can be calibrated to ECa–P features. Two study areas were chosen representing the claypan soils of north-east Missouri, USA. Profile conductivity was measured at high depth resolution on soil cores using a miniaturised Wenner conductivity probe and in the field using a conductivity penetrometer. Proximal ground conductivity was mapped with one direct contact sensor and two non-contact sensors, providing five distinct coil/electrode geometries. Increasing ECa–P was observed below the claypan, correlated with decreasing clay and water content and increasing bulk density. Depth to the claypan was successfully calibrated to derivative peaks on ECa–P profiles (R 2 = 0.72, p < 0.001). Relationships between ECa and ECa–P features were poor (R 2∼ 0.21) to good (R 2∼ 0.87) on a field-specific basis. Results show that ECa–P can be used for calibration of ECa to the depth to claypan.
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Mention of trade names or commercial products is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture, University of Missouri, or University of Florida.
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Myers, D. et al. (2010). Combining Proximal and Penetrating Soil Electrical Conductivity Sensors for High-Resolution Digital Soil Mapping. In: Viscarra Rossel, R., McBratney, A., Minasny, B. (eds) Proximal Soil Sensing. Progress in Soil Science. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8859-8_19
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DOI: https://doi.org/10.1007/978-90-481-8859-8_19
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