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 …

Abstract Currently, Global Navigation Satellite System (GNSS) Real-Time Kinematic
positioning (RTK) and Precise Point Positioning (PPP) techniques are widely employed for …

Water level fluctuations that occurs during filling-drawdown operations in man-made
reservoirs can result in accelerations or reactivations (or even catastrophic failure) of large …

With the advancements of technology in the era of Big Data and artificial intelligence,
Internet of Things (IoT) has a major role for the purpose of monitoring natural disasters like …

Slope deformation prediction is crucial for early warning of slope failure, which can prevent
property damage and save human life. Existing predictive models focus on predicting the …

Multivariate binary logistic regression (LR) model was used for the assessment of landslide
susceptibility in the Rorachu river basin of eastern Sikkim Himalaya. For this purpose, a …

Global navigation satellite system (GNSS) technology is one of the most effective landslide
displacement monitoring methods, but most of the current landslide research based on …

The application of data mining models has become increasingly popular in recent years in
assessments of a variety of natural hazards such as landslides and floods. Data mining …

Global navigation satellite system (GNSS) is one of the most effective means for landslide
monitoring. At present, most studies on GNSS-based landslide monitoring focus on the long …

Landslides are one of the major geo-hazards which have constantly affected Italy especially
over the last few years. In fact 82% of the Italian territory is affected by this phenomenon …