Urban areas and infrastructure networks are increasingly moving into regions prone to natural hazards, such as earthquakes, landslides, sinkholes, flooding, or wildfires. With climate change causing an increasing frequency of extreme weather events, the triggering conditions for some of those hazards are becoming more frequent and severe. Hence, assessing the risk these hazards pose is becoming increasingly important.

Recent advances in geophysical techniques, sensor networks, and remote sensing products facilitate increasingly detailed studies allowing us to integrate different data streams to gain insight into the processes linked to natural hazards. This enables the design of effective remediation measures to mitigate the risk to communities and infrastructure. We invite observational and modelling studies demonstrating novel geophysical approaches for investigating natural hazards, and encourage submissions that link near-surface geophysical methods with earth system modelling, machine learning, or novel sensor deployments and analytics to design effective mitigation strategies