Quantitative soil characterization using the frequency domain electromagnetic induction method in heterogeneous fields

Mendoza, Gaston; Blanchy, Guillaume; Van De Vijver, Ellen; Verhegge, Jeroen; Cornelis, Wim; De Smedt, Philippe

doi:https://doi.org/10.5194/hess-29-2837-2025

Articles | Volume 29, issue 13

https://doi.org/10.5194/hess-29-2837-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-29-2837-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 29, issue 13

Research article

|

07 Jul 2025

Research article |

| 07 Jul 2025

Quantitative soil characterization using the frequency domain electromagnetic induction method in heterogeneous fields

Gaston Mendoza, Guillaume Blanchy, Ellen Van De Vijver, Jeroen Verhegge, Wim Cornelis, and Philippe De Smedt

Data sets

Data set. Quantitative soil characterization using frequency domain electromagnetic induction method in heterogeneous fields Gaston Matias Mendoza Veirana https://doi.org/10.5281/zenodo.13465721

Model code and software

orbit-ugent/FDEM_quantitative_soil: 0.1 (Version 0.1) Gaston Matias Mendoza Veirana https://doi.org/10.5281/ZENODO.13385389

Interactive computing environment

FDEM_quantitative_soil SENSE-UGent https://github.com/SENSE-UGent/FDEM_quantitative_soil

Short summary

This study explores two methods for predicting soil properties using the frequency domain electromagnetic induction technique in Belgium. We compared deterministic models, which often require extensive data adjustments, to empirical models. Our findings suggest that empirical models are generally more effective for soil analysis, although each method has its limitations. This research helps improve soil property prediction, crucial for agriculture and environmental management.