Articles | Volume 16, issue 10
https://doi.org/10.5194/nhess-16-2211-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2211-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Oct 2016
Research article |
| 07 Oct 2016
Potential slab avalanche release area identification from estimated winter terrain: a multi-scale, fuzzy logic approach
Jochen Veitinger
CORRESPONDING AUTHOR
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Ross Stuart Purves
Department of Geography, University of Zurich, Zurich, Switzerland
Betty Sovilla
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
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Cited
29 citations as recorded by crossref.
- Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping Y. Bühler et al. 10.5194/nhess-18-3235-2018
- The utility of forest attribute maps for automated Avalanche Terrain Exposure Scale (ATES) modelling J. Schumacher et al. 10.1080/02827581.2022.2096921
- 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
- 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
- Automated snow avalanche release area delineation in data-sparse, remote, and forested regions J. Sykes et al. 10.5194/nhess-22-3247-2022
- A three-stage model pipeline predicting regional avalanche danger in Switzerland (RAvaFcast v1.0.0): a decision-support tool for operational avalanche forecasting A. Maissen et al. 10.5194/gmd-17-7569-2024
- An online platform for spatial and iterative modelling with Bayesian Networks A. Stritih et al. 10.1016/j.envsoft.2020.104658
- Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania) L. Ilie et al. 10.3390/su12020632
- Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions U. Durlević et al. 10.3390/ijgi13090315
- Coupled Snow Cover and Avalanche Dynamics Simulations to Evaluate Wet Snow Avalanche Activity N. Wever et al. 10.1029/2017JF004515
- Geospatial Modelling and Mapping of Snow Avalanche Susceptibility S. Kumar et al. 10.1007/s12524-017-0672-z
- Developing nationwide avalanche terrain maps for Norway H. Larsen et al. 10.1007/s11069-020-04104-7
- Evaluating novel hybrid models based on GIS for snow avalanche susceptibility mapping: A comparative study P. Yariyan et al. 10.1016/j.coldregions.2021.103453
- Describing the severity of avalanche terrain numerically using the observed terrain selection practices of professional guides S. Thumlert & P. Haegeli 10.1007/s11069-017-3113-y
- A Depth‐Averaged Material Point Method for Shallow Landslides: Applications to Snow Slab Avalanche Release L. Guillet et al. 10.1029/2023JF007092
- GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia U. Durlević et al. 10.3390/atmos13081229
- Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
- Snow avalanche susceptibility of the Circo de Gredos (Iberian Central System, Spain) R. Soteres et al. 10.1080/17445647.2020.1717655
- Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
- Quantifying uncertainties in earth observation-based ecosystem service assessments A. Stritih et al. 10.1016/j.envsoft.2018.09.005
- Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. 10.5194/nhess-24-947-2024
- AutoATES v2.0: Automated Avalanche Terrain Exposure Scale mapping H. Toft et al. 10.5194/nhess-24-1779-2024
- Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions O. Rahmati et al. 10.3390/rs11242995
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
- Snow avalanche susceptibility along Mughal Road, North-western Himalaya using geospatial techniques I. Bhat et al. 10.1007/s12517-023-11839-7
- Climate sensitivity of natural hazards processes in mountain regions: A fuzzy logic approach P. Mani et al. 10.1016/j.geomorph.2024.109329
- Linking snow depth to avalanche release area size: measurements from the Vallée de la Sionne field site J. Veitinger & B. Sovilla 10.5194/nhess-16-1953-2016
- Spatial snowdrift modelling for an open natural terrain using a physically‐based linear particle distribution equation N. Ohara et al. 10.1002/hyp.14468
- Merging a terrain-based parameter with blowing snow fluxes for assessing snow redistribution in alpine terrain P. Schön et al. 10.1016/j.coldregions.2018.08.002
26 citations as recorded by crossref.
- Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping Y. Bühler et al. 10.5194/nhess-18-3235-2018
- The utility of forest attribute maps for automated Avalanche Terrain Exposure Scale (ATES) modelling J. Schumacher et al. 10.1080/02827581.2022.2096921
- 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
- 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
- Automated snow avalanche release area delineation in data-sparse, remote, and forested regions J. Sykes et al. 10.5194/nhess-22-3247-2022
- A three-stage model pipeline predicting regional avalanche danger in Switzerland (RAvaFcast v1.0.0): a decision-support tool for operational avalanche forecasting A. Maissen et al. 10.5194/gmd-17-7569-2024
- An online platform for spatial and iterative modelling with Bayesian Networks A. Stritih et al. 10.1016/j.envsoft.2020.104658
- Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania) L. Ilie et al. 10.3390/su12020632
- Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions U. Durlević et al. 10.3390/ijgi13090315
- Coupled Snow Cover and Avalanche Dynamics Simulations to Evaluate Wet Snow Avalanche Activity N. Wever et al. 10.1029/2017JF004515
- Geospatial Modelling and Mapping of Snow Avalanche Susceptibility S. Kumar et al. 10.1007/s12524-017-0672-z
- Developing nationwide avalanche terrain maps for Norway H. Larsen et al. 10.1007/s11069-020-04104-7
- Evaluating novel hybrid models based on GIS for snow avalanche susceptibility mapping: A comparative study P. Yariyan et al. 10.1016/j.coldregions.2021.103453
- Describing the severity of avalanche terrain numerically using the observed terrain selection practices of professional guides S. Thumlert & P. Haegeli 10.1007/s11069-017-3113-y
- A Depth‐Averaged Material Point Method for Shallow Landslides: Applications to Snow Slab Avalanche Release L. Guillet et al. 10.1029/2023JF007092
- GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia U. Durlević et al. 10.3390/atmos13081229
- Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
- Snow avalanche susceptibility of the Circo de Gredos (Iberian Central System, Spain) R. Soteres et al. 10.1080/17445647.2020.1717655
- Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
- Quantifying uncertainties in earth observation-based ecosystem service assessments A. Stritih et al. 10.1016/j.envsoft.2018.09.005
- Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. 10.5194/nhess-24-947-2024
- AutoATES v2.0: Automated Avalanche Terrain Exposure Scale mapping H. Toft et al. 10.5194/nhess-24-1779-2024
- Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions O. Rahmati et al. 10.3390/rs11242995
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
- Snow avalanche susceptibility along Mughal Road, North-western Himalaya using geospatial techniques I. Bhat et al. 10.1007/s12517-023-11839-7
- Climate sensitivity of natural hazards processes in mountain regions: A fuzzy logic approach P. Mani et al. 10.1016/j.geomorph.2024.109329
3 citations as recorded by crossref.
- Linking snow depth to avalanche release area size: measurements from the Vallée de la Sionne field site J. Veitinger & B. Sovilla 10.5194/nhess-16-1953-2016
- Spatial snowdrift modelling for an open natural terrain using a physically‐based linear particle distribution equation N. Ohara et al. 10.1002/hyp.14468
- Merging a terrain-based parameter with blowing snow fluxes for assessing snow redistribution in alpine terrain P. Schön et al. 10.1016/j.coldregions.2018.08.002
Saved (preprint)
Latest update: 24 May 2025
Short summary
Avalanche hazard assessment requires a very precise estimation of the potential starting zone, which nowadays still depends, to a large extent, on expert judgement of avalanches. Therefore, a new algorithm for automated identification of potential avalanche release areas was developed. Potential avalanche release areas can be defined for varying snow accumulation scenarios, improving the automated estimation of release areas, in particular for frequent avalanches.
Avalanche hazard assessment requires a very precise estimation of the potential starting zone,...
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