Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 22
Articles | Volume 18, issue 22
https://doi.org/10.5194/gmd-18-8751-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-8751-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 22
Development and technical paper
 | 
20 Nov 2025
Development and technical paper |  | 20 Nov 2025

Autoencoder-based feature extraction for the automatic detection of snow avalanches in seismic data

Andri Simeon, Cristina Pérez-Guillén, Michele Volpi, Christine Seupel, and Alec van Herwijnen

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Short summary
Avalanche detection systems are crucial for forecasting, but distinguishing avalanches from other seismic sources remains a challenge. We propose novel autoencoder models to automatically extract features and compare them with engineered seismic features. These features are then used to classify avalanches and noise events. The autoencoder feature classifiers exhibit the highest sensitivity in detecting avalanches, while the engineered seismic classifier performs better overall.
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