A number of rainfall threshold models for triggering landslides have been developed in
either empirical or physical manner. The objective of an empirical rainfall threshold model is …

Mass movements varying in type and size, some of which are periodically reactivated, affect
the urban area of Avigliano. The disturbed and remoulded masses consist of sandy–silty or …

Uncertainty in rainfall datasets and landslide inventories is known to have negative impacts
on the assessment of landslide-triggering thresholds. In this paper, we perform a quantitative …

Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …

A general methodology for the probabilistic evaluation of landslide hazard is applied, taking
in account both the landslide susceptibility and the instability triggering factors, mainly …

We present the results of the application of a recently proposed model to determine
landslide hazard. The model predicts where landslides will occur, how frequently they will …

The morphometric characteristics of a basin have a significant effect on landslide occurrence
and can provide valuable information related to rainfall-induced shallow landslides. Basin …

SIGMA is a regional landslide warning system based on statistical rainfall thresholds that
operates in Emilia Romagna (Italy). In this work, we depict its birth and the continuous …

Rainfall, soil properties, and morphology are major factors controlling shallow landsliding. A
series of meteorological events that triggered soil slips in northern Italy were studied to …

Landslides are frequent and widespread geomorphological phenomena causing loss of
human life and damage to property. The main tool for assessing landslide risk relies on …