Articles | Volume 25, issue 3
https://doi.org/10.5194/nhess-25-1255-2025
https://doi.org/10.5194/nhess-25-1255-2025
Research article
 | 
02 Apr 2025
Research article |  | 02 Apr 2025

Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning

John Sykes, Pascal Haegeli, Roger Atkins, Patrick Mair, and Yves Bühler

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Latest update: 23 Apr 2025
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Short summary
We model the decision-making of professional ski guides and develop decision support tools to assist with determining appropriate terrain based on current conditions. Our approach compares a manually constructed Bayesian network with machine learning classification models. The models accurately capture the real-world decision-making outcomes in 85–93 % of cases. Our conclusions focus on strengths and weaknesses of each model and discuss ramifications for practical applications in ski guiding.
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