Snow avalanche hazard prediction using machine learning methods
Snow avalanches are among the most destructive natural hazards threatening human life,
ecosystems, built structures, and landscapes in mountainous regions. The complexity of …
ecosystems, built structures, and landscapes in mountainous regions. The complexity of …
Towards an ensemble machine learning model of random subspace based functional tree classifier for snow avalanche susceptibility mapping
Snow avalanche as a natural disaster severely affects socio-economic and geomorphic
processes through damaging ecosystems, vegetation, landscape, infrastructures …
processes through damaging ecosystems, vegetation, landscape, infrastructures …
[HTML][HTML] Combining modelled snowpack stability with machine learning to predict avalanche activity
L Viallon-Galinier, P Hagenmuller, N Eckert - The Cryosphere, 2023 - tc.copernicus.org
Predicting avalanche activity from meteorological and snow cover simulations is critical in
mountainous areas to support operational forecasting. Several numerical and statistical …
mountainous areas to support operational forecasting. Several numerical and statistical …
Automatic detection of regional snow avalanches with scattering and interference of C-band SAR Data
Avalanche disasters are extremely destructive and catastrophic, often causing serious
casualties, economic losses and surface erosion. However, far too little attention has been …
casualties, economic losses and surface erosion. However, far too little attention has been …
Parameter importance assessment improves efficacy of machine learning methods for predicting snow avalanche sites in Leh-Manali Highway, India
A Tiwari, G Arun, BD Vishwakarma - Science of the total environment, 2021 - Elsevier
Due to ongoing climate change, water mass redistribution and related hazards are getting
stronger and frequent. Therefore, predicting extreme hydrological events and related …
stronger and frequent. Therefore, predicting extreme hydrological events and related …
A multi-model decision support system (MM-DSS) for avalanche hazard prediction over North-West Himalaya
P Kaur, JC Joshi, P Aggarwal - Natural Hazards, 2022 - Springer
Avalanche forecasting is carried out using physical as well as statistical models. All these
models have certain limitations associated with their mathematical formulation that enable …
models have certain limitations associated with their mathematical formulation that enable …
Estimation of missing weather variables using different data mining techniques for avalanche forecasting
P Kaur, JC Joshi, P Aggarwal - Natural Hazards, 2024 - Springer
The availability of continuous weather data is essential in many applications such as the
study of hydrology, glaciology, and modelling of extreme catastrophic events such as …
study of hydrology, glaciology, and modelling of extreme catastrophic events such as …
Combining snow physics and machine learning to predict avalanche activity: does it help?
L Viallon-Galinier, P Hagenmuller… - The Cryosphere …, 2022 - tc.copernicus.org
Predicting avalanche activity from meteorological and snow cover simulations is critical in
mountainous areas to support operational forecasting. Several numerical and statistical …
mountainous areas to support operational forecasting. Several numerical and statistical …
A novel approach to accelerate calibration process of a k-nearest neighbours classifier using GPU
General purpose data parallel computing with graphical processing unit (GPU) is much
structured today with NVIDIA® CUDA and other parallel programming frameworks …
structured today with NVIDIA® CUDA and other parallel programming frameworks …
Evaluating novel hybrid models based on GIS for snow avalanche susceptibility mapping: A comparative study
Snow avalanches cause economic losses in many parts of the world, especially in
mountainous areas. Due to its changing climates and the complex topography of …
mountainous areas. Due to its changing climates and the complex topography of …