Session
4.4.: Rockfalls and shallow landslides: monitoring and data collection methods,
analysis and modelling, and use for hazard prediction and risk assessment
Convenors: Mauro
Rossi, Massimiliano Bordoni, Sandra Melzner, Roberto J. Marin, Stella Moreiras
Rockfall and shallow-landslide data collection varies widely with project objectives, resources, and site conditions, while the resulting catalogue quality depends on mapping accuracy, data sources, investigator expertise, and available technology. This session highlights methods for documenting rockfalls, including field mapping, archival research, cliff monitoring, remote sensing, photogrammetry, dating techniques, and analyses linking rockfalls to triggers such as earthquakes or intense rainfall. We welcome studies advancing monitoring, modelling, prediction, and mitigation of shallow landslides, including laboratory and field investigations, remote sensing, model development, and assessments of climate and land-use change. Climate-driven increases in extreme rainfall are expected to raise the frequency of shallow landslides, altering regional susceptibility, damaging landscapes, and reducing nutrient-rich soils. Understanding these processes requires hydrological monitoring of predisposing and triggering conditions and robust modelling of landslide initiation. We also invite statistical approaches addressing spatial, temporal, and size distributions and their implications for hazard and risk assessment.