Articles | Volume 11, issue 1
https://doi.org/10.5194/esurf-11-89-2023
https://doi.org/10.5194/esurf-11-89-2023
Research article
 | 
28 Feb 2023
Research article |  | 28 Feb 2023

Automated classification of seismic signals recorded on the Åknes rock slope, Western Norway, using a convolutional neural network

Nadège Langet and Fred Marcus John Silverberg

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Latest update: 30 Mar 2025
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Short summary
Microseismic events recorded on the Åknes rock slope in Norway during the past 15 years are automatically divided into eight classes. The results are analysed and compared to meteorological data, showing a strong increase in the microseismic activity in spring mainly due to freezing and thawing processes.
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