Electromagnetic Induction Applications in Soil Property Assessment
Summary
Electromagnetic induction (EMI) has emerged as a vital non-invasive approach for characterising spatial and temporal variations in soil properties across diverse environments. By inducing and measuring secondary magnetic fields, EMI instruments quantify apparent electrical conductivity (ECa), a bulk parameter influenced by soil moisture, texture, salinity and temperature. Advances in coil configurations (single-coil, multi-coil, multi-frequency), dipole orientations and heights enable depth discretisation and multi-layer inversion, yielding quasi-three-dimensional conductivity models. These data underpin rapid mapping of soil salinity in irrigated and reclaimed lands, high-resolution texture zoning in precision agriculture, moisture monitoring for hydrological applications and geoarchaeological prospecting. Calibration strategies, combining direct-resistivity techniques and regression against laboratory analyses, have enhanced quantitative accuracy. By integrating EMI with remote sensing and geostatistical methods, researchers have developed robust workflows for field-scale assessment of soil health, water management and sustainable land use, addressing global challenges in agriculture, environmental monitoring and resource conservation.
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Electromagnetic Induction Applications in Soil Property Assessment publication trend
The graph below shows the total number of articles in electromagnetic induction applications in soil property assessment across all publications each year (not limited to Nature Index journals).
Technical terms
Apparent electrical conductivity (ECa): The bulk conductivity measured by an EMI device, influenced by moisture, salinity, texture and temperature.
Soil electrical conductivity (σ): The intrinsic conductivity of soil layers, estimated through inversion of ECa data.
In-phase component: The EMI signal component aligned with the primary magnetic field, related to magnetic susceptibility.
Quadrature component: The EMI signal component shifted by 90°, directly related to soil conductivity.
Quasi-3D inversion: An algorithmic approach to reconstruct subsurface conductivity distributions from multi-height or multi-coil EMI data.
Dipole orientation: The geometric alignment of transmitting and receiving coils, determining depth sensitivity and resolution.
Root mean square error (RMSE): A statistical measure of the differences between predicted and observed values, used to assess calibration accuracy.
Bulk electrical conductivity model: A layered representation of subsurface conductivity derived from EMI inversion, used to interpret soil stratigraphy.
References
- Landscape-scale mapping of soil salinity with multi-height electromagnetic induction and quasi-3d inversion in Saharan Oasis, Tunisia. Agricultural Water Management (2023).
- Apparent soil electrical conductivity and gamma-ray spectrometry to map particle size fraction in micro-irrigated citrus orchards in California. Frontiers in Plant Science (2025).
- Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements. Computers & Geosciences (2024).
- Spatial and Temporal Patterns of Apparent Electrical Conductivity: DUALEM vs. Veris Sensors for Monitoring Soil Properties. Sensors (2014).
- Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network. Hydrology and Earth System Sciences (2017).
- Improved Geoarchaeological Mapping with Electromagnetic Induction Instruments from Dedicated Processing and Inversion. Remote Sensing (2016).
- Mapping Spatial Variability of Soil Salinity in a Coastal Paddy Field Based on Electromagnetic Sensors. PLOS ONE (2015).
- Calibration, Conversion, and Quantitative Multi-Layer Inversion of Multi-Coil Rigid-Boom Electromagnetic Induction Data. Sensors (2019).
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