Articles | Volume 11, issue 2
https://doi.org/10.5194/nhess-11-367-2011
© Author(s) 2011. 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-11-367-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Feb 2011
Research article |
| 09 Feb 2011
Spatio-temporal avalanche forecasting with Support Vector Machines
A. Pozdnoukhov
National Centre for Geocomputation, National University of Ireland, Maynooth, Ireland
G. Matasci
Institute of Geomatics and Analysis of Risk, University of Lausanne, Lausanne, Switzerland
M. Kanevski
Institute of Geomatics and Analysis of Risk, University of Lausanne, Lausanne, Switzerland
R. S. Purves
Department of Geography, University of Zurich, Zurich, Switzerland
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Cited
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- Acceleration of the Gradenbach-Eggerberg rock slope deformation A. Hormes et al. https://doi.org/10.1186/s40677-025-00344-6
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- Parameter importance assessment improves efficacy of machine learning methods for predicting snow avalanche sites in Leh-Manali Highway, India A. Tiwari et al. https://doi.org/10.1016/j.scitotenv.2021.148738
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- Combining random forests and class-balancing to discriminate between three classes of avalanche activity in the French Alps P. Dkengne Sielenou et al. https://doi.org/10.1016/j.coldregions.2021.103276
- Heterogeneous Space–Time Artificial Neural Networks for Space–Time Series Prediction M. Deng et al. https://doi.org/10.1111/tgis.12302
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- Machine-Learning Algorithms for Mapping Debris-Covered Glaciers: The Hunza Basin Case Study A. Khan et al. https://doi.org/10.1109/ACCESS.2020.2965768
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