Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts
Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
Review on landslide susceptibility map** using support vector machines
Y Huang, L Zhao - Catena, 2018 - Elsevier
Landslides are natural phenomena that can cause great loss of life and damage to property.
A landslide susceptibility map is a useful tool to help with land management in landslide …
A landslide susceptibility map is a useful tool to help with land management in landslide …
[HTML][HTML] Landslide susceptibility zonation method based on C5. 0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
Abstract Machine learning algorithms are an important measure with which to perform
landslide susceptibility assessments, but most studies use GIS-based classification methods …
landslide susceptibility assessments, but most studies use GIS-based classification methods …
Landslide4sense: Reference benchmark data and deep learning models for landslide detection
O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp… - ar**: Different basic classifier and ensemble strategy
The application of ensemble learning models has been continuously improved in recent
landslide susceptibility research, but most studies have no unified ensemble framework …
landslide susceptibility research, but most studies have no unified ensemble framework …
Landslide susceptibility evaluation and hazard zonation techniques–a review
L Shano, TK Raghuvanshi, M Meten - Geoenvironmental Disasters, 2020 - Springer
Landslides are the most destructive geological hazard in the hilly regions. For systematic
landslide mitigation and management, landslide evaluation and hazard zonation is required …
landslide mitigation and management, landslide evaluation and hazard zonation is required …
Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China
Landslide is a common natural hazard and responsible for extensive damage and losses in
mountainous areas. In this study, Longju in the Three Gorges Reservoir area in China was …
mountainous areas. In this study, Longju in the Three Gorges Reservoir area in China was …
Landslide displacement forecasting using deep learning and monitoring data across selected sites
Accurate early warning systems for landslides are a reliable risk-reduction strategy that may
significantly reduce fatalities and economic losses. Several machine learning methods have …
significantly reduce fatalities and economic losses. Several machine learning methods have …
Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …