In all cities and urban areas, the risk faced by people and assets from hazards associated
with climate change has increased (high confidence1). Urban areas are now home to 4.2 …

The present study aims to develop two hybrid models to optimize the factors and enhance
the predictive ability of the landslide susceptibility models. For this, a landslide inventory …

Irrespective of the magnitude and spatial extend, the consequences of a natural hazard are
strongly connected to the vulnerability of elements at risk (eg people, buildings and …

Mountains are home to a considerable share of the human population. Around a billion
people live in mountainous areas, which harbor rich natural and sociocultural diversity …

Using multiple ensemble learning techniques for improving the predictive accuracy of
landslide models is an active research area. In this study, we combined a radial basis …

Accessibility is a key measure of the vulnerability of road networks to disruptions such as
floods. However, studies comparing the contribution of parameters to the accuracy of …

Vulnerability analysis is crucial to assess natural hazard risk. Methods for vulnerability
assessment include indices as well as vulnerability curves. Vulnerability curves make use of …

We present a comprehensive methodological framework for structural deformation
monitoring of critical infrastructure assets based on differential SAR interferometry. By …

In landslide susceptibility assessment (LSA), inventory incompleteness impacts the accuracy
of different models to varying degrees. However, this area remains under-researched. This …

This paper presents a probabilistic analysis of the landslide risk encountered by regional
roads, and the landslide risk of roads is regarded as a function of landslide hazard and road …