Articles | Volume 8, issue 2
https://doi.org/10.5194/tc-8-547-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-8-547-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Influence of snow depth distribution on surface roughness in alpine terrain: a multi-scale approach
J. Veitinger
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
B. Sovilla
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
R. S. Purves
Department of Geography, University of Zurich, Zurich, Switzerland
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23 citations as recorded by crossref.
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- Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al. 10.5194/nhess-21-3539-2021
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- Improving the snowpack monitoring in the mountainous areas of Sweden from space: a machine learning approach J. Zhang et al. 10.1088/1748-9326/abfe8d
- Snowpack characteristics on steep frozen rock slopes M. Phillips et al. 10.1016/j.coldregions.2017.05.010
- Toward the development of deep learning analyses for snow avalanche releases in mountain regions Y. Chen et al. 10.1080/10106049.2021.1986578
- Potential slab avalanche release area identification from estimated winter terrain: a multi-scale, fuzzy logic approach J. Veitinger et al. 10.5194/nhess-16-2211-2016
- Snow mechanical property variability at the slope scale – implication for snow mechanical modelling F. Meloche et al. 10.5194/tc-18-1359-2024
- 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
- Modeling of crack propagation in weak snowpack layers using the discrete element method J. Gaume et al. 10.5194/tc-9-1915-2015
- Snow instability patterns at the scale of a small basin B. Reuter et al. 10.1002/2015JF003700
- Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences J. Eitel et al. 10.1016/j.rse.2016.08.018
- Modeling the Snow Depth Variability With a High‐Resolution Lidar Data Set and Nonlinear Terrain Dependency T. Skaugen & K. Melvold 10.1029/2019WR025030
- Relating simple drivers to snow instability B. Reuter et al. 10.1016/j.coldregions.2015.06.016
- 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
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- Local-scale deposition of surface snow on the Greenland ice sheet A. Zuhr et al. 10.5194/tc-15-4873-2021
- Snow as a driving factor of rock surface temperatures in steep rough rock walls A. Haberkorn et al. 10.1016/j.coldregions.2015.06.013
- Coupled Snow Cover and Avalanche Dynamics Simulations to Evaluate Wet Snow Avalanche Activity N. Wever et al. 10.1029/2017JF004515
- The temporal and spatial variability in submeter scale surface roughness of seasonal snow in Sodankylä Finnish Lapland in 2009–2010 K. Anttila et al. 10.1002/2014JD021597
22 citations as recorded by crossref.
- Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. 10.5194/nhess-24-947-2024
- A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1 H. Yin et al. 10.3390/rs16132260
- Spatial Distribution and Scaling Properties of Lidar‐Derived Snow Depth in the Extratropical Andes P. Mendoza et al. 10.1029/2020WR028480
- Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al. 10.5194/nhess-21-3539-2021
- On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model L. Charrois et al. 10.5194/tc-10-1021-2016
- Improving the snowpack monitoring in the mountainous areas of Sweden from space: a machine learning approach J. Zhang et al. 10.1088/1748-9326/abfe8d
- Snowpack characteristics on steep frozen rock slopes M. Phillips et al. 10.1016/j.coldregions.2017.05.010
- Toward the development of deep learning analyses for snow avalanche releases in mountain regions Y. Chen et al. 10.1080/10106049.2021.1986578
- Potential slab avalanche release area identification from estimated winter terrain: a multi-scale, fuzzy logic approach J. Veitinger et al. 10.5194/nhess-16-2211-2016
- Snow mechanical property variability at the slope scale – implication for snow mechanical modelling F. Meloche et al. 10.5194/tc-18-1359-2024
- 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
- Modeling of crack propagation in weak snowpack layers using the discrete element method J. Gaume et al. 10.5194/tc-9-1915-2015
- Snow instability patterns at the scale of a small basin B. Reuter et al. 10.1002/2015JF003700
- Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences J. Eitel et al. 10.1016/j.rse.2016.08.018
- Modeling the Snow Depth Variability With a High‐Resolution Lidar Data Set and Nonlinear Terrain Dependency T. Skaugen & K. Melvold 10.1029/2019WR025030
- Relating simple drivers to snow instability B. Reuter et al. 10.1016/j.coldregions.2015.06.016
- 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
- Influence of weak layer heterogeneity and slab properties on slab tensile failure propensity and avalanche release area J. Gaume et al. 10.5194/tc-9-795-2015
- LiDAR remote sensing of the cryosphere: Present applications and future prospects A. Bhardwaj et al. 10.1016/j.rse.2016.02.031
- Local-scale deposition of surface snow on the Greenland ice sheet A. Zuhr et al. 10.5194/tc-15-4873-2021
- Snow as a driving factor of rock surface temperatures in steep rough rock walls A. Haberkorn et al. 10.1016/j.coldregions.2015.06.013
- Coupled Snow Cover and Avalanche Dynamics Simulations to Evaluate Wet Snow Avalanche Activity N. Wever et al. 10.1029/2017JF004515
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