Slow-moving landslides are widespread natural hazards that can affect social and economic activities, causing damage to structures and infrastructures. This paper aims at proposing a procedure to analyze road damage induced by slow-moving landslides based on the joint use of landslide susceptibility maps, a road-damage database developed using Google Street View images and ground-displacement measurements derived from the interferometric processing of satellite SAR images. The procedure is applied to the municipalities of Vaglio Basilicata and Trivigno in the Basilicata region (southern Italy) following a matrix-based approach. First, a susceptibility analysis is carried out at the municipal scale, using data from landslide inventories and thematic information available over the entire municipalities. Then, the susceptibility index, the class of movement and the level of damage are calculated for the territorial units corresponding to the road corridors under investigation. Finally, the road networks are divided into stretches, each one characterized by a specific level of risk (or attention required) following the aggregation of the information provided by the performed analyses. The results highlight the importance of integrating all of these different approaches and data for obtaining quantitative information on the spatial and temporal behavior of slow-moving landslides affecting road networks.

Historical quay walls in low-lying delta cities are increasingly challenged by ageing materials, changing load conditions, and long-term ground deformations. In the inner-city of Amsterdam (The Netherlands), a dense network of masonry quay walls founded on timber piles requires continuous prioritization to manage collapse risk at municipal scale. This paper presents a multi-source monitoring-based framework that integrates conventional (ground-based) and innovative (remote-sensing) techniques with damage information collected during in-situ surveys to support the identification of potentially critical quay walls. Displacement information derived from terrestrial instruments (acquired in both vertical and horizontal directions) and satellite Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) recorded along the line-of-sight (LOS) are combined with qualitative indicators describing damage conditions (e.g. deformations and cracks on apron or wall façade) and kinematic behaviour (e.g. tilting, bulging) observed during in-situ inspections. Rather than aiming at detailed structural and stability verification of the single retaining structure (quay wall), the proposed analysis focuses on extracting consistent patterns between observed damage and recorded displacements, posing the base knowledge for developing a methodological procedure that allows the investigation of existing cause-effect relationships and the identification of the most probable collapse mechanisms. The results achieved highlights how multi-source monitoring and surveying sources can be jointly interpreted to support, at municipal scale, risk-informed decision making and the planning of mitigation strategies for historical retaining structures.