Articles | Volume 29, issue 13
https://doi.org/10.5194/hess-29-2837-2025
https://doi.org/10.5194/hess-29-2837-2025
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2693', Jacopo Boaga, 24 Oct 2024
    • AC1: 'Reply on RC1', Gaston Matias Mendoza Veirana, 15 Nov 2024
  • RC2: 'Comment on egusphere-2024-2693', Anonymous Referee #2, 03 Dec 2024
    • AC2: 'Reply on RC2', Gaston Matias Mendoza Veirana, 06 Jan 2025
  • RC3: 'Comment on egusphere-2024-2693', Damien Jougnot, 03 Dec 2024
    • AC3: 'Reply on RC3', Gaston Matias Mendoza Veirana, 07 Jan 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (08 Jan 2025) by Nunzio Romano
AR by Gaston Matias Mendoza Veirana on behalf of the Authors (27 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Feb 2025) by Nunzio Romano
RR by Anonymous Referee #1 (17 Feb 2025)
RR by Damien Jougnot (28 Feb 2025)
ED: Publish as is (02 Mar 2025) by Nunzio Romano
AR by Gaston Matias Mendoza Veirana on behalf of the Authors (18 Mar 2025)  Author's response   Manuscript 
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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.
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