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 …

The main aim of this study is to use weights of evidence (WoE), logistic regression (LR),
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …

Cascading hazards are becoming more prevalent in the central Himalayas. Primary hazards
(eg, earthquakes, avalanches, and landslides) often trigger secondary hazards (eg …

The failure of slopes due to various natural processes or extensive mining activities is a
common problem that has an adverse impact on the environment and may result in severe …

The cost of a landslide early warning system (LEWS) is a significant hurdle in its installation
and adoption in develo** nations like India, which has one of the highest rates of …

A review of landslide inventories provides an essential assessment of the state of
knowledge around landslide hazard and can guide the focus of future studies. This is …

Abstract The Nepal Himalayas is one of the world's most active mountain belts and home to
widespread natural hazards of various types, including landslides, which claim numerous …

This Progress Report reviews the geographical literature concerning environmental hazards
and risk focussing particularly on areas that require and enhance interdisciplinary working …

In order to prevent and mitigate disasters, it is crucial to immediately and properly assess the
spatial distribution of landslide hazards in the earthquake-affected area. Currently, there are …

There is a growing body of literature that recognises the importance of warning systems to
reduce landslide disaster risk and avoid the occurrence of disasters. Recent developments …