Articles | Volume 18, issue 12
https://doi.org/10.5194/nhess-18-3235-2018
© Author(s) 2018. 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-18-3235-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Daniel von Rickenbach
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Department of Geography, University of Zürich, Zürich, 8057,
Switzerland
Andreas Stoffel
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Stefan Margreth
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Lukas Stoffel
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Marc Christen
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
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Cited
56 citations as recorded by crossref.
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- Potential and challenges of depth-resolved three-dimensional MPM simulations: a case study of the 2019 ‘Salezer’ snow avalanche in Davos M. Kyburz et al.
- Formalization of the avalanche-prone areas spatial properties to calculate snow avalanches’ dynamic parameters M. Mikhailova et al.
- Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points J. Revuelto et al.
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- INTEGRATING LANDSCAPE CHARACTER AND AVALANCHE DYNAMICS: AN ASSESSMENT OF THE 2024 YENISU AVALANCHE EVENT, BİNGOL A. Meral et al.
- Debris flow simulations for hazard, vulnerability and risk assessment in the Karakorum mountain ranges, northern Pakistan I. Ullah et al.
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- Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia) U. Durlević et al.
- Avalanche Hazard Assessment in Low Mountains, Based on the Example of the January 2021 Norilsk Avalanche Disaster V. Lobkina et al.
- Modeling deadwood for rockfall mitigation assessments in windthrow areas A. Ringenbach et al.
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- Human-centered avalanche susceptibility mapping (H-CASM): shifting the cartographic emphasis of backcountry avalanche susceptibility maps L. Rotche & Y. Lin
- Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al.
- Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach M. IBAN & S. BILGILIOGLU
- Snow avalanche in the Indian Himalayas: Hazard zonation and climate change trends in Kullu region of Himachal Pradesh, India J. Bansal et al.
56 citations as recorded by crossref.
- Rough meets smooth: Unifying granular landslide speed and runout L. Brivady et al.
- Dependence of Avalanche Risk on Slope Insolation Level and Albedo N. Denissova et al.
- A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction J. Minár et al.
- Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning J. Sykes et al.
- Developing nationwide avalanche terrain maps for Norway H. Larsen et al.
- Can big data and random forests improve avalanche runout estimation compared to simple linear regression? H. Toft et al.
- Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation C. Duvillier et al.
- Machine learning for automated avalanche terrain exposure scale (ATES) classification K. Markov et al.
- GIS-based spatial modeling of snow avalanches using four novel ensemble models P. Yariyan et al.
- Snow avalanches are a primary climate-linked driver of mountain ungulate populations K. White et al.
- An online platform for spatial and iterative modelling with Bayesian Networks A. Stritih et al.
- Terrain-based avalanche susceptibility mapping in a Manali region of Himachal Pradesh, India: machine learning approaches K. Thakur et al.
- Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al.
- Impact of information presentation on interpretability of spatial hazard information: lessons from a study in avalanche safety K. Fisher et al.
- Potential and challenges of depth-resolved three-dimensional MPM simulations: a case study of the 2019 ‘Salezer’ snow avalanche in Davos M. Kyburz et al.
- Formalization of the avalanche-prone areas spatial properties to calculate snow avalanches’ dynamic parameters M. Mikhailova et al.
- Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points J. Revuelto et al.
- A machine learning framework for multi-hazards modeling and mapping in a mountainous area S. Yousefi et al.
- GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia U. Durlević et al.
- Coğrafi Bilgi Sistemi (CBS) ve Parametre Puanlama Yöntemi İle Hakkâri İli Çığ Tehlike Haritasının Oluşturulması S. MUTLU et al.
- Bayesian Inference in Snow Avalanche Simulation with r.avaflow J. Fischer et al.
- 基于GIS与RAMMS模拟的雪崩释放区识别及危险性评估:以西藏扎墨公路嘎隆拉段为例 . TIAN Xuwen et al.
- Enhanced detection and inventory of snow avalanches along the Leh–Manali Highway, Western Himalayas using remote sensing: Development and demonstration of the modified SAFE (mSAFE) algorithm R. Chandra Prabha et al.
- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al.
- On the correlation between a sub-level qualifier refining the danger level with observations and models relating to the contributing factors of avalanche danger F. Techel et al.
- Quantifying the influence of avalanche release volume on runout probability: A case study of a mountain road section S. Oberndorfer et al.
- Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping A. Mosavi et al.
- Determining forest parameters for avalanche simulation using remote sensing data N. Brožová et al.
- Particle and front tracking in experimental and computational avalanche dynamics M. Neuhauser et al.
- Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions O. Rahmati et al.
- Mapping avalanches with satellites – evaluation of performance and completeness E. Hafner et al.
- Snow Avalanche Frequency Estimation (SAFE): 32 years of monitoring remote avalanche depositional zones in high mountains of Afghanistan A. Caiserman et al.
- Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al.
- Automated snow avalanche release area delineation in data-sparse, remote, and forested regions J. Sykes et al.
- Snow avalanche susceptibility of the Circo de Gredos (Iberian Central System, Spain) R. Soteres et al.
- INTEGRATING LANDSCAPE CHARACTER AND AVALANCHE DYNAMICS: AN ASSESSMENT OF THE 2024 YENISU AVALANCHE EVENT, BİNGOL A. Meral et al.
- Debris flow simulations for hazard, vulnerability and risk assessment in the Karakorum mountain ranges, northern Pakistan I. Ullah et al.
- Creating probability maps for avalanche hazardous areas reflecting snowpack uncertainty updates T. Tanabe et al.
- The Historic Avalanche that Destroyed the Village of Àrreu in 1803, Catalan Pyrenees P. Oller et al.
- Evaluation of afforestations for avalanche protection with orthoimages using the random forest algorithm T. Grätz et al.
- Characterizing vegetation and return periods in avalanche paths using lidar and aerial imagery E. Peitzsch et al.
- Review article: Snow and ice avalanches in high mountain Asia – scientific, local and indigenous knowledge A. Acharya et al.
- Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al.
- Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps Y. Bühler et al.
- Geomorphometry today I. Florinsky
- A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping G. Ortner et al.
- The Avalanche Terrain Exposure Scale (ATES) v.2 G. Statham & C. Campbell
- Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia) U. Durlević et al.
- Avalanche Hazard Assessment in Low Mountains, Based on the Example of the January 2021 Norilsk Avalanche Disaster V. Lobkina et al.
- Modeling deadwood for rockfall mitigation assessments in windthrow areas A. Ringenbach et al.
- Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al.
- Rapid calculation for avalanche maps by GPGPU-based snow avalanche model I. Tsai & T. Nakamura
- Human-centered avalanche susceptibility mapping (H-CASM): shifting the cartographic emphasis of backcountry avalanche susceptibility maps L. Rotche & Y. Lin
- Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al.
- Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach M. IBAN & S. BILGILIOGLU
- Snow avalanche in the Indian Himalayas: Hazard zonation and climate change trends in Kullu region of Himachal Pradesh, India J. Bansal et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Coping with avalanche hazard has a long tradition in alpine countries. Hazard mapping has proven to be one of the most effective methods. In this paper we develop a new approach to automatically delineate avalanche release areas and connect them to state-of-the-art numerical avalanche simulations. This enables computer-based hazard indication mapping over large areas such as entire countries. This is of particular interest where hazard maps do not yet exist, such as in developing countries.
Coping with avalanche hazard has a long tradition in alpine countries. Hazard mapping has proven...
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