Articles | Volume 23, issue 1
Research article
27 Jan 2023
Research article |  | 27 Jan 2023

Evaluation of low-cost Raspberry Pi sensors for structure-from-motion reconstructions of glacier calving fronts

Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-201', Karen Anderson, 08 Sep 2022
    • AC1: 'Reply on RC1', Liam Taylor, 03 Jan 2023
  • RC2: 'Review of Taylor et al. Evaluation of low-cost Raspberry Pi sensors for photogrammetry of glacier calving fronts', Penelope How, 23 Nov 2022
    • AC2: 'Reply on RC2', Liam Taylor, 03 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (08 Jan 2023) by Pascal Haegeli
AR by Liam Taylor on behalf of the Authors (09 Jan 2023)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 Jan 2023) by Pascal Haegeli
Short summary
Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Final-revised paper