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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This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
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Cited articles

Arosio, D., Longoni, L., Papini, M., Boccolari, M., and Zanzi, L.: Analysis of microseismic signals collected on an unstable rock face in the Italian Prealps, Geophys. J. Int., 213, 475–488, https://doi.org/10.1093/gji/ggy010, 2018. a
Bardi, F., Raspini, F., Ciampalini, A., Kristensen, L., Rouyet, L., Lauknes, T., Frauenfelder, R., and Casagli, N.: Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site, Remote Sensing, 8, 237, https://doi.org/10.3390/rs8030237, 2016. a
Blikra, L. and Christiansen, H.: A field-based model of permafrost-controlled rockslide deformation in northern Norway, Geomorphology, 208, https://doi.org/10.1016/j.geomorph.2013.11.014, 2014. a, b
Blikra, L., Longva, O., Harbitz, C., and Løvholt, F.: Quantification of rock-avalanche and tsunami hazard in Storfjorden, western Norway, Norw. J. Geology, 2005. a
Bontemps, N., Lacroix, P., Larose, E., Jara, J., and Taipe, E.: Rain and small earthquakes maintain a slow-moving landslide in a persistent critical state, Nat. Commun., 11, 780, https://doi.org/10.1038/s41467-020-14445-3, 2020. a, b
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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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