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Assessing multi-hazard risk using Earth-Observation data

3rd International ConferenceNatural Hazards and Risks in a Changing World
Addressing Compound and Multi-Hazard Risk


Cees van Westen (University of Twente)


Colin Raymond (University of California UCLA)Christian Geiss (Deutsches Zentrum für Luft- und Raumfahrt DLR)Maria Arango Carmona (Universität Potsdam UP)

Remote sensing science is undergoing rapid development due to the availability of many versatile sensors with high-resolution data, frequent overpasses, and near-global coverage; increases in computational power, including artificial intelligence, and a widening set of tools for readily accessing and integrating different products.

These advances collectively empower us to predict, detect, and monitor complex and multi-hazard events with unprecedented precision. We welcome research contributions targeted toward the usage of such tools for risk assessment, for example developing and monitoring indicators for event precursors, as well as compiling time series of infrastructure and population exposure in connection with scenario-based modelling. Additionally, we encourage research using remote-sensing data for documenting historical disaster events, whether at systemic or case-study levels, to enrich our comprehension of impact chains and interactions. Finally, we encourage contributions that aim to support operational services and rapid response, especially for decision-making related to high-impact large-scale events. In all of the above, incorporation of novel or integrative techniques, such as multi-satellite extended time series or AI approaches, are particularly desirable.