Coastal areas are highly exposed to multiple natural and anthropic hazards. Ongoing global warming has triggered accelerated sea-level rise (SLR) and variation in terms of the intensity and frequency of extreme meteorological events. SLR, storms and tsunamis can generate temporary flooding and permanent submersion of the coastal areas, depending on the geomorphological and sedimentological (underwater and subaerial) features. Worldwide, low-lying coastal areas such as alluvial plains, deltas, and lagoons, are considered the most prone to be impacted by the expected increase in magnitude and frequency of the climate-driven processes (e.g., erosion, retreat, and flooding) with significant consequences on those ecosystems and human settlements. With the aim of identifying tailored adaptation activities and supporting the sustainable management of the coastal sectors, the scientific challenge is to assess the impacts of sea level variations on coastal natural and anthropic assets and to define potential coastal resilience over the next decades by the exploitation high-resolution datasets and advanced tools and technologies, which include remote sensing, machine learning, deep learning and computer vision methodologies. This session is devoted to collect contributions focussing on the expected global, regional, and local coastal modifications, the potential impacts of extreme meteorological and inundation events over time, as well as the socio-economic assets exposed to sea-level rise. Geomorphological studies on coastal dynamic and evolution by means of multidisciplinary methodologies and investigations as indicated are welcome:
a) modelling approaches for coastal risk assessment, b) influence of coastal dynamics on coastal infrastructures, c) multi-risk assessment of the coastal zone, d) the impact of erosion, flooding on natural environments, infrastructures, socioeconomic assets and heritage sites, e) application of innovative techniques of Artificial Intelligence (AI) for the analyses of data collected in coastal area, f) development of new techniques of remote survey and sensing for coastal environment.