Earth Surface Dynamics
Earth Surface Dynamics
ESurf
Articles | Volume 13, issue 4
Articles | Volume 13, issue 4
https://doi.org/10.5194/esurf-13-705-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-13-705-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 4
Research article
 | 
08 Aug 2025
Research article |  | 08 Aug 2025

AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery

Hanne Hendrickx, Melanie Elias, Xabier Blanch, Reynald Delaloye, and Anette Eltner

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Short summary
This study presents a novel AI-based method for tracking and analysing the movement of rock glaciers and landslides, key landforms in high mountain regions. By utilising time-lapse images, our approach generates detailed velocity data, uncovering movement patterns often missed by traditional methods. This cost-effective tool enhances geohazard monitoring, providing insights into environmental drivers, improving process understanding, and contributing to better safety in alpine areas.
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