[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …
environment, geological hazards tend to wreak havoc on the environment and human …
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 …
[HTML][HTML] A review of statistically-based landslide susceptibility models
In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …
A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
[HTML][HTML] Remote sensing for landslide investigations: A progress report from China
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
[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 …
[HTML][HTML] Landslide detection in the Himalayas using machine learning algorithms and U-Net
Event-based landslide inventories are essential sources to broaden our understanding of
the causal relationship between triggering events and the occurring landslides. Moreover …
the causal relationship between triggering events and the occurring landslides. Moreover …
[HTML][HTML] Rainfall induced landslide studies in Indian Himalayan region: a critical review
Landslides are one of the most devastating and recurring natural disasters and have
affected several mountainous regions across the globe. The Indian Himalayan region is no …
affected several mountainous regions across the globe. The Indian Himalayan region is no …
[HTML][HTML] Recommendations for the quantitative analysis of landslide risk
This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …
[HTML][HTML] Landslide inventory maps: New tools for an old problem
Landslides are present in all continents, and play an important role in the evolution of
landscapes. They also represent a serious hazard in many areas of the world. Despite their …
landscapes. They also represent a serious hazard in many areas of the world. Despite their …