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

Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

This paper includes a critical review of the existing literature on the use of satellite SAR
imagery for subsidence analysis. Land subsidence, related to multiple natural and human …

This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …

Landslide monitoring is a mandatory step in landslide risk assessment. It requires collecting
data on landslide conditions (eg, areal extent, landslide kinematics, surface topography …

Bringing artificial intelligence on board Earth observation satellites unlocks unprecedented
possibilities to extract actionable items from various image modalities at the global scale in …

The application of Unmanned Aerial Vehicles (UAVs), commonly known as drones, in
geological, geomorphological, and geotechnical studies has gained significant attention due …

The rising availability of satellite-based multi-temporal interferometric datasets covering
large areas of the Earth surface constitutes a huge asset in the context of operational …

Landslides are a common natural hazard that causes casualties and unprecedented
economic losses every year, especially in vulnerable develo** countries. Considering the …

A key component of disaster management and infrastructure organization is predicting
cumulative deformations caused by landslides. One of the critical points in predicting …