To date, there is a growing interest for challenging applications of time-lapse electrical
resistivity tomography (TL-ERT) in Earth sciences. Tomographic algorithms for resistivity …

Machine learning-based methods are commonly used for landslide susceptibility map**.
Most of the recent publications focused on quantitative analysis, ie, improving data …

Landslides present a significant global hazard, resulting in substantial socioeconomic
losses and casualties each year. Traditional monitoring approaches, such as geodetic …

Landslides are natural disasters which can create major setbacks to the socioeconomic of a
region. Destructive landslides may happen in a quick time, resulting in severe loss of lives …

Optical fibre-based sensors have found a variety of applications throughout engineering and
science in the measurement of strain and temperature. Current commercially available …

This work presents the new model called CRHyME (Climatic Rainfall Hydrogeological
Modelling Experiment), a tool for geo-hydrological hazard evaluation. CRHyME is a …

Geophysical surveys are a noninvasive reliable tool to improve geological models without
requiring extensive in situ borehole campaigns. The usage of seismic refraction tomography …

We present the results of laboratory experiments on a down-scaled river levee constructed
with clayey material collected from a river embankment where a permanent resistivity …

Every year, Brazil grapples with the destructive impact of landslides, typically during the
summer season. The National Centre for Monitoring and Alerts of Natural Disasters …

Shallow landslides triggered by heavy rainfalls are slope instabilities, developed in the most
superficial eluvial layers, involving the first 2 m from the ground level. A crucial predisposing …