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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
Searches related to remote sensing
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