Preprints
https://doi.org/10.5194/nhess-2023-114
https://doi.org/10.5194/nhess-2023-114
19 Sep 2023
 | 19 Sep 2023
Status: a revised version of this preprint was accepted for the journal NHESS and is expected to appear here in due course.

AutoATES v2.0: Automated avalanche terrain exposure scale mapping

Håvard Boutera Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland

Abstract. This paper documents substantial improvements to the original automated avalanche terrain exposure mapping (AutoATES v1.0) algorithm. The most significant drawbacks of AutoATES v1.0 have been addressed by including forest density data, improving the avalanche runout estimations in low-angle runout zones, accounting for overhead exposure and open-source software. The algorithm also supports the new ATES v2.0 terrain class ‘extreme’ terrain. We used two benchmark maps from Bow Summit and Connaught Creek to validate the improvements from AutoATES v1.0 to v2.0. For Bow Summit, the F1 score (a measure of how well the algorithm performs) improved from 64.01 % to 77.30 %. For Connaught Creek, the F1 score improved from 39.81 % to 71.38 %. The main challenge limiting large-scale mapping is the determination of optimal input parameters for different regions and climates. In areas where AutoATES v2.0 is applied, it can be a valuable tool for avalanche risk assessment and decision. Ultimately, our goal is for AutoATES v2.0 to enable efficient, large-scale, and potentially global ATES mapping in a standardized manner rather than based solely on expert judgement.

Håvard Boutera Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-114', Scott Thumlert, 18 Oct 2023
    • AC2: 'Reply on RC1', Håvard Boutera Toft, 19 Jan 2024
  • RC2: 'Comment on nhess-2023-114', Anonymous Referee #2, 29 Nov 2023
    • AC1: 'Reply on RC2', Håvard Boutera Toft, 19 Jan 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-114', Scott Thumlert, 18 Oct 2023
    • AC2: 'Reply on RC1', Håvard Boutera Toft, 19 Jan 2024
  • RC2: 'Comment on nhess-2023-114', Anonymous Referee #2, 29 Nov 2023
    • AC1: 'Reply on RC2', Håvard Boutera Toft, 19 Jan 2024
Håvard Boutera Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland
Håvard Boutera Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland

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Latest update: 15 Apr 2024
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Short summary
Manual avalanche terrain exposure scale (ATES) mapping is time-consuming and inefficient for large-scale applications. The updated algorithm for automated ATES mapping overcomes previous limitations by including forest density data, improving the avalanche runout estimations in low-angle runout zones, accounting for overhead exposure and open-source software. Results show that the latest version has significantly improved its performance.
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