Oct. 28, 2024
It is proposed a groundbreaking paradigm shift that goes beyond today’s DTE data technology. The main objective is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete physical parameters layers that is collected and interpolated globally and unceasing by a cohesive use of EO sensors at maximal joint valorization of Copernicus Sentinels, Earth Explorer, and ESA contributing missions. This will strengthen and broaden the EO value chain and stimulate the expansion of the proposed technology to new markets. The historical data will be intensively used to derive models for prediction. The methodology is focused on hybrid Physics Informed AI methods, time series, prediction, causality discovery, data analytics, advanced visualization to monitor and forecast natural and human activity in support of sustainable development, and resilience to climate change effects. The new methods will be implemented in a system developed in 1 specific RDI project interfaced with the specific models and functionalities developed in other 4 specific RDI projects in the Competence Center DTEClimate dedicated to the redressement of climate change effects in health, environment, food security, and extreme events. The system will be scalable, such to be further extended for other domains.
The specific objectives that will be followed during the project development comprise: