Veronica Tofani

TL;DR: In this article, the authors present recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results.

TL;DR: The dimension of parameter space, the mapping unit and the training process strongly influence the classification accuracy and the prediction process, which implies that a careful sensitivity analysis making use of traditional and new tools should always be performed before producing final susceptibility maps at all levels and scales.

TL;DR: In this paper, the authors used persistent scatterer interferometry (PSI) and conventional ground-based monitoring techniques to characterize and monitor the Santo Stefano d'Aveto landslide located in the Northern Apennines, Italy.

TL;DR: Spaceborne optical Very High Resolution and SAR data were applied at a basin scale for analysing shallow rapid-moving and slow-moving landslides in the emergency management and post- disaster phases, demonstrating their effectiveness for post-disaster damage assessment, landslide detection and rapid mapping, the definition of states of activity and updating of landslide inventory maps.

TL;DR: In this article, the authors presented the updating of the landslide inventory of Tuscany region using satellite SAR data processed with persistent scatter interferometry (PSI) technique, which led to a consistent reduction of unclassified landslides and to an increasing of active landslides.