Articles | Volume 24, issue 3
https://doi.org/10.5194/nhess-24-947-2024
https://doi.org/10.5194/nhess-24-947-2024
Research article
 | 
20 Mar 2024
Research article |  | 20 Mar 2024

Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada

John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-112', Zachary Miller, 01 Nov 2023
    • AC1: 'Response to Reviewer Comments', John Sykes, 15 Dec 2023
  • RC2: 'Comment on nhess-2023-112', Marc Adams, 17 Nov 2023
    • AC1: 'Response to Reviewer Comments', John Sykes, 15 Dec 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (18 Dec 2023) by Sven Fuchs
AR by John Sykes on behalf of the Authors (09 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Jan 2024) by Sven Fuchs
AR by John Sykes on behalf of the Authors (10 Jan 2024)
Short summary
The research validates and optimizes an automated approach for creating classified snow avalanche terrain maps using open-source geospatial modeling tools. Validation is based on avalanche-expert-based maps for two study areas. Our results show that automated maps have an overall accuracy equivalent to the average accuracy of three human maps. Automated mapping requires a fraction of the time and cost of traditional methods and opens the door for large-scale mapping of mountainous terrain.
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