Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-329-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-329-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jan 2023
Research article |
| 27 Jan 2023
| 27 Jan 2023
Evaluation of low-cost Raspberry Pi sensors for structure-from-motion reconstructions of glacier calving fronts
School of Geography and water@leeds, University of Leeds, Leeds, UK
Duncan J. Quincey
School of Geography and water@leeds, University of Leeds, Leeds, UK
Mark W. Smith
School of Geography and water@leeds, University of Leeds, Leeds, UK
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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.
Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to...
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