Articles | Volume 25, issue 4
https://doi.org/10.5194/nhess-25-1315-2025
https://doi.org/10.5194/nhess-25-1315-2025
Research article
 | Highlight paper
 | 
03 Apr 2025
Research article | Highlight paper |  | 03 Apr 2025

Monitoring snow depth variations in an avalanche release area using low-cost lidar and optical sensors

Pia Ruttner, Annelies Voordendag, Thierry Hartmann, Julia Glaus, Andreas Wieser, and Yves Bühler

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2024-744', Thomas Gölles, 18 Apr 2024
    • AC3: 'Reply on CC1', Pia Ruttner-Jansen, 25 Jun 2024
  • RC1: 'Referee Comment on egusphere-2024-744', Katreen Wikstrom Jones, 18 Apr 2024
    • AC2: 'Reply on RC1', Pia Ruttner-Jansen, 25 Jun 2024
  • RC2: 'Comment on egusphere-2024-744', Alexander Prokop, 08 May 2024
    • AC1: 'Reply on RC2', Pia Ruttner-Jansen, 25 Jun 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (31 Aug 2024) by Pascal Haegeli
AR by Pia Ruttner on behalf of the Authors (15 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (28 Dec 2024) by HP Marshall
AR by Pia Ruttner on behalf of the Authors (20 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Jan 2025) by HP Marshall
ED: Publish as is (25 Jan 2025) by Pascal Haegeli (Executive editor)
AR by Pia Ruttner on behalf of the Authors (30 Jan 2025)
Download
Executive editor
This paper demonstrates a significant technological advance, from measurements of snow depth at a point at high temporal resolution, to mapping snow depth at the 100m scale with high temporal resolution. It has important applications in snow hydrology, snow avalanche research, and climate monitoring. The approach and design are described in detail and will be useful for other researchers looking to apply this approach. The paper is clear and well written, with important details included.
Short summary
Snow depth variations caused by wind are an important factor in avalanche danger, but detailed and up-to-date information is rarely available. We propose a monitoring system, using lidar and optical sensors, to measure the snow depth distribution at high spatial and temporal resolution. First results show that we can quantify snow depth changes with an accuracy on the low decimeter level, or better, and can identify events such as avalanches or displacement of snow during periods of strong winds.
Share
Altmetrics
Final-revised paper
Preprint