Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3247-2022
https://doi.org/10.5194/nhess-22-3247-2022
Research article
 | 
10 Oct 2022
Research article |  | 10 Oct 2022

Automated snow avalanche release area delineation in data-sparse, remote, and forested regions

John Sykes, Pascal Haegeli, and Yves Bühler

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Automated snow avalanche release area delineation in data sparse, remote, and forested regions – Code and Data John Sykes, Pascal Haegeli, and Yves Bühler https://doi.org/10.17605/OSF.IO/YQ5S3

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Short summary
Automated snow avalanche terrain mapping provides an efficient method for large-scale assessment of avalanche hazards, which informs risk management decisions for transportation and recreation. This research reduces the cost of developing avalanche terrain maps by using satellite imagery and open-source software as well as improving performance in forested terrain. The research relies on local expertise to evaluate accuracy, so the methods are broadly applicable in mountainous regions worldwide.
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