Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties,
and the environment in many areas. Investigators have for long attempted to estimate …

Landslides triggered by rainstorms and earthquakes are prominent geological hazards that
exhibit distinctive spatial and morphological characteristics due to diverse instability …

The death toll and monetary damages from landslides continue to rise despite
advancements in predictive modeling. These models' performances are limited as landslide …

Abstract Machine learning methods require a vast amount of data to train a model. The data
necessary for landslide susceptibility map** is a collection of landslide causative factors …

Landslides often happen where they have already occurred in the past. The potential of
landslides to reduce or enhance conditions for further landsliding has long been recognized …

The standard definition of landslide hazard requires the estimation of where, when (or how
frequently) and how large a given landslide event may be. The geoscientific community …

The patterns and controls of the transient enhanced landsliding that follows strong
earthquakes remain elusive. Geostatistical models can provide clues on the underlying …

Electronic databases of landslides seldom include the triggering mechanisms, rendering
these inventories unusable for landslide hazard modeling. We present a method for …

Classification of landslide type is an essential step in risk management, although is often
missing in large inventories. Here we propose a novel data-driven method that uses easily …

Most of the research studies on landslide susceptibility map** (LSM) in the Himalayan
region consider small subsets of several geomorphological features such as river basins …