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misalignments. 4. Dissemination and contribution to the mission • Present results to CNES, ESA, and industrial partners (Airbus, Winlight Optics). • Contribute to conferences in atmospheric remote sensing and
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characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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exert strong erosive power. Seismic monitoring offers powerful tools for detecting and quantifying erosion processes remotely and continuously, with high temporal resolution and over a broad range of