This session aims at bringing together scientists working on the use of remote sensing observations and in situ measurements as well as physically-based or statistical/machine learning models, and retrieval techniques for the definition, characterisation, and the monitoring of natural hazards and extreme events in the Mediterranean area. The goal of the session is to foster the discussion about new types of observations and new approaches, also combining data and models, to contribute to the understanding of climate change effects on extreme events occurrence and trends. Studies related to the use of long-term data record and new methodologies able to describe and identify patterns and parameters of natural disasters and to define anomalous and rare features of extreme events are encouraged. Some examples include, but are not limited to, observation and monitoring of heavy precipitation systems, tornadoes and Medicanes, strong winds, droughts and forest fires, floods, debris-flows and landslides, volcanic events, earthquakes, coastal erosion, and glaciers.
Earth Observation data and techniques for the definition, characterisation, and monitoring of natural hazards