Preprints
https://doi.org/10.5194/egusphere-2026-1264
https://doi.org/10.5194/egusphere-2026-1264
27 Mar 2026
 | 27 Mar 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Brief communication: On the potential of dual-coil frequency-domain electromagnetic (FDEM) systems to detect frozen layers in mountain permafrost environments

Mirko Pavoni, Mauro Guglielmin, Alexander Bast, Stefano Ponti, Emanuele Forte, Alberto Carrera, Luca Peruzzo, Simone Peracchi, Giorgio Cassiani, and Jacopo Boaga

Abstract. Frequency Domain Electromagnetic (FDEM) methods are still rarely applied in mountain permafrost environments, such as rock glaciers. Here, we test a separable dual-coil FDEM system at four mountain permafrost sites and compare the results with Electrical Resistivity Tomography (ERT), the most commonly geophysical method applied in these environments. The comparison shows that FDEM can reproduce key subsurface features identified by ERT and highlights the potential of separable dual-coil FDEM systems for a straightforward, preliminary, first-order assessment of subsurface structures in mountain permafrost environments.

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Mirko Pavoni, Mauro Guglielmin, Alexander Bast, Stefano Ponti, Emanuele Forte, Alberto Carrera, Luca Peruzzo, Simone Peracchi, Giorgio Cassiani, and Jacopo Boaga

Status: open (until 08 May 2026)

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Mirko Pavoni, Mauro Guglielmin, Alexander Bast, Stefano Ponti, Emanuele Forte, Alberto Carrera, Luca Peruzzo, Simone Peracchi, Giorgio Cassiani, and Jacopo Boaga
Mirko Pavoni, Mauro Guglielmin, Alexander Bast, Stefano Ponti, Emanuele Forte, Alberto Carrera, Luca Peruzzo, Simone Peracchi, Giorgio Cassiani, and Jacopo Boaga
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Latest update: 28 Mar 2026
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Short summary
This study explores the potential of the frequency-domain electromagnetic (FDEM) method for investigating mountain permafrost environments such as rock glaciers. Although less accurate than electrical resistivity tomography (ERT), FDEM allows rapid measurements of subsurface electrical properties and requires much lower logistical effort, making it suitable for preliminary surveys in remote areas and for large-scale site characterization.
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