45 citations as recorded by crossref.

1. A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction J. Minár et al. 10.1016/j.earscirev.2020.103414
2. Developing nationwide avalanche terrain maps for Norway H. Larsen et al. 10.1007/s11069-020-04104-7
3. 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
4. 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
5. GIS-based spatial modeling of snow avalanches using four novel ensemble models P. Yariyan et al. 10.1016/j.scitotenv.2020.141008
6. Snow avalanches are a primary climate-linked driver of mountain ungulate populations K. White et al. 10.1038/s42003-024-06073-0
7. An online platform for spatial and iterative modelling with Bayesian Networks A. Stritih et al. 10.1016/j.envsoft.2020.104658
8. Terrain-based avalanche susceptibility mapping in a Manali region of Himachal Pradesh, India: machine learning approaches K. Thakur et al. 10.1007/s12665-024-11882-x
9. Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. 10.5194/nhess-24-947-2024
10. Impact of information presentation on interpretability of spatial hazard information: lessons from a study in avalanche safety K. Fisher et al. 10.5194/nhess-21-3219-2021
11. 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. 10.1017/aog.2024.14
12. Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points J. Revuelto et al. 10.1029/2020WR028980
13. A machine learning framework for multi-hazards modeling and mapping in a mountainous area S. Yousefi et al. 10.1038/s41598-020-69233-2
14. 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
15. Coğrafi Bilgi Sistemi (CBS) ve Parametre Puanlama Yöntemi İle Hakkâri İli Çığ Tehlike Haritasının Oluşturulması S. MUTLU et al. 10.56130/tucbis.1177536
16. Bayesian Inference in Snow Avalanche Simulation with r.avaflow J. Fischer et al. 10.3390/geosciences10050191
17. The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
18. 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. 10.5194/nhess-22-1911-2022
19. Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping A. Mosavi et al. 10.1109/ACCESS.2020.3014816
20. Determining forest parameters for avalanche simulation using remote sensing data N. Brožová et al. 10.1016/j.coldregions.2019.102976
21. 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
22. Mapping avalanches with satellites – evaluation of performance and completeness E. Hafner et al. 10.5194/tc-15-983-2021
23. 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
24. Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al. 10.5194/nhess-22-1825-2022
25. Automated snow avalanche release area delineation in data-sparse, remote, and forested regions J. Sykes et al. 10.5194/nhess-22-3247-2022
26. Snow avalanche susceptibility of the Circo de Gredos (Iberian Central System, Spain) R. Soteres et al. 10.1080/17445647.2020.1717655
27. Debris flow simulations for hazard, vulnerability and risk assessment in the Karakorum mountain ranges, northern Pakistan I. Ullah et al. 10.1016/j.rsase.2024.101389
28. The Historic Avalanche that Destroyed the Village of Àrreu in 1803, Catalan Pyrenees P. Oller et al. 10.3390/geosciences10050169
29. Evaluation of afforestations for avalanche protection with orthoimages using the random forest algorithm T. Grätz et al. 10.1007/s10342-023-01640-2
30. Characterizing vegetation and return periods in avalanche paths using lidar and aerial imagery E. Peitzsch et al. 10.1080/15230430.2024.2310333
31. 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
32. 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
33. Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps Y. Bühler et al. 10.5194/tc-13-3225-2019
34. Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
35. 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
36. Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia) U. Durlević et al. 10.1515/geo-2020-0314
37. Avalanche Hazard Assessment in Low Mountains, Based on the Example of the January 2021 Norilsk Avalanche Disaster V. Lobkina et al. 10.1134/S1028334X21060118
38. Modeling deadwood for rockfall mitigation assessments in windthrow areas A. Ringenbach et al. 10.5194/esurf-10-1303-2022
39. Large-scale risk assessment on snow avalanche hazard in alpine regions G. Ortner et al. 10.5194/nhess-23-2089-2023
40. Rapid calculation for avalanche maps by GPGPU-based snow avalanche model I. Tsai & T. Nakamura 10.1016/j.coldregions.2024.104220
41. 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
42. Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al. 10.5194/nhess-21-3539-2021
43. 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 10.1007/s00477-023-02392-6
44. A large wet snow avalanche cycle in West Greenland quantified using remote sensing and in situ observations J. Abermann et al. 10.1007/s11069-019-03655-8
45. An optimization on machine learning algorithms for mapping snow avalanche susceptibility P. Yariyan et al. 10.1007/s11069-021-05045-5