Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-1825-2022
© Author(s) 2022. 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-22-1825-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jun 2022
Research article |
| 02 Jun 2022
| 02 Jun 2022
Automated avalanche hazard indication mapping on a statewide scale
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
Peter Bebi
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
Marc Christen
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
Stefan Margreth
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Lukas Stoffel
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Andreas Stoffel
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
Christoph Marty
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Gregor Schmucki
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
Andrin Caviezel
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
Roderick Kühne
Department of Forest and Natural Hazards (AWN), Canton Grisons, 7000 Chur, Switzerland
Stephan Wohlwend
Office for Civil Protection, Government of Liechtenstein, 9490 Vaduz, Liechtenstein
Perry Bartelt
WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions
Research Center CERC, 7260 Davos Dorf, Switzerland
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Cited
24 citations as recorded by crossref.
- Automated avalanche mapping from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations E. Hafner et al. 10.5194/tc-16-3517-2022
- AutoATES v2.0: Automated Avalanche Terrain Exposure Scale mapping H. Toft et al. 10.5194/nhess-24-1779-2024
- Snow Avalanche Frequency Estimation (SAFE): 32 years of monitoring remote avalanche depositional zones in high mountains of Afghanistan A. Caiserman et al. 10.5194/tc-16-3295-2022
- Combining OBIA, CNN, and UAV photogrammetry for automated avalanche deposit detection and characterization S. Dewali et al. 10.1016/j.asr.2023.06.033
- Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations E. Hafner et al. 10.5194/tc-18-3807-2024
- Unprecedented Winter Rainfall Initiates Large Snow Avalanche and Mass Movement Cycle in New Zealand's Southern Alps/Kā Tiritiri o te Moana A. Miller et al. 10.1029/2022GL102105
- Modeling deadwood for rockfall mitigation assessments in windthrow areas A. Ringenbach et al. 10.5194/esurf-10-1303-2022
- Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. 10.5194/nhess-24-947-2024
- Can big data and random forests improve avalanche runout estimation compared to simple linear regression? H. Toft et al. 10.1016/j.coldregions.2023.103844
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
- MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation L. Zhao et al. 10.3390/rs16122087
- Snow avalanches are a primary climate-linked driver of mountain ungulate populations K. White et al. 10.1038/s42003-024-06073-0
- Automated Delimitation of Rockfall Hazard Indication Zones Using High-Resolution Trajectory Modelling at Regional Scale L. Dorren et al. 10.3390/geosciences13060182
- Rapid calculation for avalanche maps by GPGPU-based snow avalanche model I. Tsai & T. Nakamura 10.1016/j.coldregions.2024.104220
- A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping G. Ortner et al. 10.1016/j.coldregions.2024.104355
- Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies N. Helbig et al. 10.3389/feart.2023.1308269
- Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al. 10.5194/tc-17-3383-2023
- Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice E. Hafner et al. 10.5194/nhess-23-2895-2023
- Snow depth estimation at country-scale with high spatial and temporal resolution R. Daudt et al. 10.1016/j.isprsjprs.2023.01.017
- Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation C. Duvillier et al. 10.5194/nhess-23-1383-2023
- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
- Automated snow avalanche release area delineation in data-sparse, remote, and forested regions J. Sykes et al. 10.5194/nhess-22-3247-2022
- Review article: Snow and ice avalanches in high mountain Asia – scientific, local and indigenous knowledge A. Acharya et al. 10.5194/nhess-23-2569-2023
- Human-centered avalanche susceptibility mapping (H-CASM): shifting the cartographic emphasis of backcountry avalanche susceptibility maps L. Rotche & Y. Lin 10.1080/15230406.2023.2293886
23 citations as recorded by crossref.
- Automated avalanche mapping from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations E. Hafner et al. 10.5194/tc-16-3517-2022
- AutoATES v2.0: Automated Avalanche Terrain Exposure Scale mapping H. Toft et al. 10.5194/nhess-24-1779-2024
- Snow Avalanche Frequency Estimation (SAFE): 32 years of monitoring remote avalanche depositional zones in high mountains of Afghanistan A. Caiserman et al. 10.5194/tc-16-3295-2022
- Combining OBIA, CNN, and UAV photogrammetry for automated avalanche deposit detection and characterization S. Dewali et al. 10.1016/j.asr.2023.06.033
- Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations E. Hafner et al. 10.5194/tc-18-3807-2024
- Unprecedented Winter Rainfall Initiates Large Snow Avalanche and Mass Movement Cycle in New Zealand's Southern Alps/Kā Tiritiri o te Moana A. Miller et al. 10.1029/2022GL102105
- Modeling deadwood for rockfall mitigation assessments in windthrow areas A. Ringenbach et al. 10.5194/esurf-10-1303-2022
- Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. 10.5194/nhess-24-947-2024
- Can big data and random forests improve avalanche runout estimation compared to simple linear regression? H. Toft et al. 10.1016/j.coldregions.2023.103844
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
- MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation L. Zhao et al. 10.3390/rs16122087
- Snow avalanches are a primary climate-linked driver of mountain ungulate populations K. White et al. 10.1038/s42003-024-06073-0
- Automated Delimitation of Rockfall Hazard Indication Zones Using High-Resolution Trajectory Modelling at Regional Scale L. Dorren et al. 10.3390/geosciences13060182
- Rapid calculation for avalanche maps by GPGPU-based snow avalanche model I. Tsai & T. Nakamura 10.1016/j.coldregions.2024.104220
- A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping G. Ortner et al. 10.1016/j.coldregions.2024.104355
- Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies N. Helbig et al. 10.3389/feart.2023.1308269
- Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al. 10.5194/tc-17-3383-2023
- Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice E. Hafner et al. 10.5194/nhess-23-2895-2023
- Snow depth estimation at country-scale with high spatial and temporal resolution R. Daudt et al. 10.1016/j.isprsjprs.2023.01.017
- Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation C. Duvillier et al. 10.5194/nhess-23-1383-2023
- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
- Automated snow avalanche release area delineation in data-sparse, remote, and forested regions J. Sykes et al. 10.5194/nhess-22-3247-2022
- Review article: Snow and ice avalanches in high mountain Asia – scientific, local and indigenous knowledge A. Acharya et al. 10.5194/nhess-23-2569-2023
Latest update: 23 Nov 2024
Short summary
To calculate and visualize the potential avalanche hazard, we develop a method that automatically and efficiently pinpoints avalanche starting zones and simulate their runout for the entire canton of Grisons. The maps produced in this way highlight areas that could be endangered by avalanches and are extremely useful in multiple applications for the cantonal authorities, including the planning of new infrastructure, making alpine regions more safe.
To calculate and visualize the potential avalanche hazard, we develop a method that...
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