In recent years, the monitoring and study of natural hazards have gained significant attention, particularly due to climate change, which exacerbates incidents like floods, droughts, storm surges, and landslides. Together with the constant risk of earthquakes, these climate-induced events highlight the critical necessity for enhanced risk assessment and mitigation strategies in susceptible areas such as Italy. In this work, we present a Science Gateway framework for the development of portable and fully automated post-event analysis pipelines integrating Photogrammetry techniques, Data Visualization and Artificial Intelligence technologies, applied on aerial images, to assess extreme natural events and evaluate their impact on risk-exposed assets.

翻译：近年来，自然灾害的监测与研究受到广泛关注，特别是由于气候变化加剧了洪水、干旱、风暴潮和山体滑坡等灾害事件。结合地震的持续风险，这些气候诱发事件凸显了在意大利等易受影响地区加强风险评估与缓解策略的迫切需求。本研究提出一种科学网关框架，用于开发便携式、全自动化的事件后分析流程。该框架集成摄影测量技术、数据可视化与人工智能技术，应用于航空影像，以评估极端自然事件并分析其对风险暴露资产的影响。