Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/gi-15-183-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-15-183-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
Research article
 | 
21 May 2026
Research article |  | 21 May 2026

Enhanced removal of very low frequency and low frequency radio noise from transient electromagnetic data with modeling and adaptive filtering

Michel Hardenberg and Jakob Juul Larsen

Viewed

Total article views: 733 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
478 203 52 733 57 66
  • HTML: 478
  • PDF: 203
  • XML: 52
  • Total: 733
  • BibTeX: 57
  • EndNote: 66
Views and downloads (calculated since 25 Mar 2026)
Cumulative views and downloads (calculated since 25 Mar 2026)

Viewed (geographical distribution)

Total article views: 733 (including HTML, PDF, and XML) Thereof 732 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
Short summary
Transient electromagnetics (TEM) is traditionally used for mapping, but new use-cases are emerging. For example, a stationary TEM instrument can gather time-lapse data. By observing dynamic changes of the subsurface resistivity model, it is possible to track changes in groundwater levels. However, the changes are minuscule and data sets with very high signal-to-noise ratios are therefore crucial. We demonstrate a method for suppressing noise from a specific type of radio noise.
Read more
Share