[HTML][HTML] Landslide identification using machine learning
Landslide identification is critical for risk assessment and mitigation. This paper proposes a
novel machine-learning and deep-learning method to identify natural-terrain landslides …
novel machine-learning and deep-learning method to identify natural-terrain landslides …
AI-powered landslide susceptibility assessment in Hong Kong
Landslide susceptibility assessment is essential for regional landslide risk assessment and
mitigation. Most past studies involved cell-based analysis that takes landslide incidents as …
mitigation. Most past studies involved cell-based analysis that takes landslide incidents as …
Flood hazards in urban environment
Apart from the estimation of magnitudes of precipitation, floods and storm surges, modelling
of storm water flows in a densely populated urban area is required for designing coping …
of storm water flows in a densely populated urban area is required for designing coping …
Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo)
The most dangerous landslide disasters always cause serious economic losses and human
deaths. The contribution of this work is to present an integrated landslide modelling …
deaths. The contribution of this work is to present an integrated landslide modelling …
[HTML][HTML] Recent trends in the frequency and duration of global floods
N Najibi, N Devineni - Earth System Dynamics, 2018 - esd.copernicus.org
Frequency and duration of floods are analyzed using the global flood database of the
Dartmouth Flood Observatory (DFO) to explore evidence of trends during 1985–2015 at …
Dartmouth Flood Observatory (DFO) to explore evidence of trends during 1985–2015 at …
Spatiotemporal modelling of rainfall-induced landslides using machine learning
Natural terrain landslides are mainly triggered by rainstorms in Hong Kong, which pose
great threats to life and property. To mitigate landslide risk, building a prediction model …
great threats to life and property. To mitigate landslide risk, building a prediction model …
Understanding land subsidence in the Pearl River Delta region of China based on InSAR observations
Land subsidence occurs in river delta areas. A comprehensive understanding of the factors
contributing to land subsidence is crucial for effective geohazard mitigation and land …
contributing to land subsidence is crucial for effective geohazard mitigation and land …
On the importance of landslide management: Insights from a 32-year database of landslide consequences and rainfall in Hong Kong
Social and economic losses induced by landslides can be reduced by means of effective
planning and management. A series of landslide management projects have been …
planning and management. A series of landslide management projects have been …
EDDA 2.0: integrated simulation of debris flow initiation and dynamics considering two initiation mechanisms
Climate change is resulting in more frequent rainstorms and more rain-induced debris flows
in mountainous areas. The prediction of likely hazard zones is important for debris flow risk …
in mountainous areas. The prediction of likely hazard zones is important for debris flow risk …
Relationships between natural terrain landslide magnitudes and triggering rainfall based on a large landslide inventory in Hong Kong
Rain-induced landslides are recognized as one of the most catastrophic hazards on hilly
terrains. To develop strategies for landslide risk assessment and management, it is …
terrains. To develop strategies for landslide risk assessment and management, it is …