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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union
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ESurf | Articles | Volume 7, issue 1
Earth Surf. Dynam., 7, 171–190, 2019
https://doi.org/10.5194/esurf-7-171-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: From process to signal – advancing environmental...

Earth Surf. Dynam., 7, 171–190, 2019
https://doi.org/10.5194/esurf-7-171-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Feb 2019

Research article | 04 Feb 2019

Systematic identification of external influences in multi-year microseismic recordings using convolutional neural networks

Matthias Meyer et al.
Data sets

Micro-seismic and image dataset acquired at Matterhorn Hörnligrat, Switzerland Matthias Meyer, Samuel Weber, Jan Beutel, Stephan Gruber, Tonio Gsell, Andreas Hasler, Andreas Vieli https://doi.org/10.5281/zenodo.1320835

Model code and software

Code for classifier training and evaluation using the micro-seismic and image dataset acquired at Matterhorn Hörnligrat, Switzerland Matthias Meyer, Samuel Weber https://doi.org/10.5281/zenodo.1321176

Publications Copernicus
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Short summary
Monitoring rock slopes for a long time helps to understand the impact of climate change on the alpine environment. Measurements of seismic signals are often affected by external influences, e.g., unwanted anthropogenic noise. In the presented work, these influences are automatically identified and removed to enable proper geoscientific analysis. The methods presented are based on machine learning and intentionally kept generic so that they can be equally applied in other (more generic) settings.
Monitoring rock slopes for a long time helps to understand the impact of climate change on the...
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