Predicting the thickness of shallow landslides in Switzerland using machine learning

Articles | Volume 25, issue 2

https://doi.org/10.5194/nhess-25-467-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-25-467-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 2

Research article

|

05 Feb 2025

Research article |

| 05 Feb 2025

Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, Christine Moos, Arie C. Seijmonsbergen, and E. Emiel van Loon

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Total article views: 1,506 (including HTML, PDF, and XML) Thereof 1,433 with geography defined and 73 with unknown origin.

Country	#	Views	%
United States of America	1	391	25
China	2	224	14
Switzerland	3	166	11
Germany	4	101	6
Netherlands	5	52	3

1

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Short summary

We developed a machine-learning-based approach to predict the potential thickness of shallow...