Articles | Volume 13, issue 12
https://doi.org/10.5194/tc-13-3225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-3225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Dec 2019
Research article |
| 04 Dec 2019
| 04 Dec 2019
Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland
Elisabeth D. Hafner
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland
Benjamin Zweifel
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland
Mathias Zesiger
Federal Office of Topography swisstopo, Wabern, 3084, Switzerland
Holger Heisig
Federal Office of Topography swisstopo, Wabern, 3084, Switzerland
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Cited
37 citations as recorded by crossref.
- Climate change impacts on snow avalanche activity and related risks N. Eckert et al. 10.1038/s43017-024-00540-2
- Effects of Climate Change on Avalanche Accidents and Survival G. Strapazzon et al. 10.3389/fphys.2021.639433
- Modeling spatially distributed snow instability at a regional scale using Alpine3D B. Richter et al. 10.1017/jog.2021.61
- Quantifying historical landscape change with repeat photography: an accuracy assessment of geospatial data obtained through monoplotting U. Bayr 10.1080/13658816.2021.1871910
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- Upslope migration of snow avalanches in a warming climate F. Giacona et al. 10.1073/pnas.2107306118
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- Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data S. Schlaffer & M. Schlögl 10.1109/JSTARS.2024.3423403
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- Automated snow avalanche monitoring for Austria: State of the art and roadmap for future work K. Kapper et al. 10.3389/frsen.2023.1156519
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- 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
- Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland C. Pérez-Guillén et al. 10.5194/nhess-22-2031-2022
- Backscatter Characteristics of Snow Avalanches for Mapping With Local Resolution Weighting C. Tompkin & S. Leinss 10.1109/JSTARS.2021.3074418
- Determining forest parameters for avalanche simulation using remote sensing data N. Brožová et al. 10.1016/j.coldregions.2019.102976
- 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
- Towards a holistic paradigm for long-term snow avalanche risk assessment and mitigation N. Eckert & F. Giacona 10.1007/s13280-022-01804-1
- How large-scale bark beetle infestations influence the protective effects of forest stands against avalanches: A case study in the Swiss Alps M. Caduff et al. 10.1016/j.foreco.2022.120201
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
- Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations E. Hafner et al. 10.5194/tc-18-3807-2024
- Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems N. Denissova et al. 10.3390/atmos15111343
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
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- Synoptic control on snow avalanche activity in central Spitsbergen H. Hancock et al. 10.5194/tc-15-3813-2021
- Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al. 10.5194/nhess-22-1825-2022
- Near-Real Time Automatic Snow Avalanche Activity Monitoring System Using Sentinel-1 SAR Data in Norway M. Eckerstorfer et al. 10.3390/rs11232863
- Automatic Detection of Regional Snow Avalanches with Scattering and Interference of C-band SAR Data J. Yang et al. 10.3390/rs12172781
35 citations as recorded by crossref.
- Climate change impacts on snow avalanche activity and related risks N. Eckert et al. 10.1038/s43017-024-00540-2
- Effects of Climate Change on Avalanche Accidents and Survival G. Strapazzon et al. 10.3389/fphys.2021.639433
- Modeling spatially distributed snow instability at a regional scale using Alpine3D B. Richter et al. 10.1017/jog.2021.61
- Quantifying historical landscape change with repeat photography: an accuracy assessment of geospatial data obtained through monoplotting U. Bayr 10.1080/13658816.2021.1871910
- Automatic Color Detection-Based Method Applied to Sentinel-1 SAR Images for Snow Avalanche Debris Monitoring A. Karas et al. 10.1109/TGRS.2021.3131853
- Upslope migration of snow avalanches in a warming climate F. Giacona et al. 10.1073/pnas.2107306118
- Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping L. Eberhard et al. 10.5194/tc-15-69-2021
- Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice E. Hafner et al. 10.5194/nhess-23-2895-2023
- Integrating Sequential Backward Selection (SBS) and CatBoost for Snow Avalanche Susceptibility Mapping at Catchment Scale S. Cetinkaya & S. Kocaman 10.3390/ijgi13090312
- Snow avalanche detection and mapping in multitemporal and multiorbital radar images from TerraSAR-X and Sentinel-1 S. Leinss et al. 10.5194/nhess-20-1783-2020
- Performance of manual and automatic detection of dry snow avalanches in Sentinel-1 SAR images M. Eckerstorfer et al. 10.1016/j.coldregions.2022.103549
- Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data S. Schlaffer & M. Schlögl 10.1109/JSTARS.2024.3423403
- 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
- Snow avalanches in relation to tourism and transportation activities in the Făgăraş Mountains, Romanian Carpathians M. Voiculescu et al. 10.1016/j.ancene.2023.100407
- Combining random forests and class-balancing to discriminate between three classes of avalanche activity in the French Alps P. Dkengne Sielenou et al. 10.1016/j.coldregions.2021.103276
- Automated snow avalanche monitoring for Austria: State of the art and roadmap for future work K. Kapper et al. 10.3389/frsen.2023.1156519
- Mapping avalanches with satellites – evaluation of performance and completeness E. Hafner et al. 10.5194/tc-15-983-2021
- 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
- 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
- Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland C. Pérez-Guillén et al. 10.5194/nhess-22-2031-2022
- Backscatter Characteristics of Snow Avalanches for Mapping With Local Resolution Weighting C. Tompkin & S. Leinss 10.1109/JSTARS.2021.3074418
- Determining forest parameters for avalanche simulation using remote sensing data N. Brožová et al. 10.1016/j.coldregions.2019.102976
- 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
- Towards a holistic paradigm for long-term snow avalanche risk assessment and mitigation N. Eckert & F. Giacona 10.1007/s13280-022-01804-1
- How large-scale bark beetle infestations influence the protective effects of forest stands against avalanches: A case study in the Swiss Alps M. Caduff et al. 10.1016/j.foreco.2022.120201
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
- Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations E. Hafner et al. 10.5194/tc-18-3807-2024
- Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems N. Denissova et al. 10.3390/atmos15111343
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
- 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
- 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
- On the importance of snowpack stability, the frequency distribution of snowpack stability, and avalanche size in assessing the avalanche danger level F. Techel et al. 10.5194/tc-14-3503-2020
- Synoptic control on snow avalanche activity in central Spitsbergen H. Hancock et al. 10.5194/tc-15-3813-2021
- Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al. 10.5194/nhess-22-1825-2022
2 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
We manually map 18 737 avalanche outlines based on SPOT6 optical satellite imagery acquired in January 2018. This is the most complete and accurate avalanche documentation of a large avalanche period covering a big part of the Swiss Alps. This unique dataset can be applied for the validation of other remote-sensing-based avalanche-mapping procedures and for updating avalanche databases to improve hazard maps.
We manually map 18 737 avalanche outlines based on SPOT6 optical satellite imagery acquired in...
