Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …

The recent development of mobile surveying platforms and crowdsourced geoinformation
has produced a huge amount of non-validated data that are now available for research and …

Monitoring and early warning systems for landslides are urgently needed worldwide to
effectively reduce the losses of life and property caused by these natural disasters. Detecting …

With the explosive development of data mining technology, higher requirements have been
put forward to analyze the response of landslide deformation. However, related algorithms …

Among the diverse mitigation measures available for reducing the risk to life related to
landslides, early warning systems certainly constitute a significant option available to the …

With the continuous expansion of the high-speed railway network in China, long-span
railway bridges carrying multiple tracks demand reliable and fast testing procedures and …

Impending catastrophic failure of granular earth slopes manifests distinct kinematic patterns
in space and time. While risk assessments of slope failure hazards have routinely relied on …

Rainfall is the main precursor of floods and landslide events that cause major damages
every year worldwide. For an early warning system to be useful for risk mitigation and …

Big data application is a significant transformative driver of change in the retail, health,
engineering, and advanced manufacturing sectors. Big data studies in construction are still …

Antecedent effective rainfall (Ar) and rainfall intensity (I) play an important role in the
formation process of debris flow. Establishing Ar-I threshold curve of debris flow is hence of …