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Simulating Management Decisions with Peatland Digital Twins and Generative AI

CORDIS · observation · Publication date unknown

Simulating Management Decisions with Peatland Digital Twins and Generative AI Large-scale initiatives such as Destination Earth (DestinE) and Research Infrastructures (RIs) generate vast volumes of high-quality observational and simulation data. However, their usability and accessibility remain limited, particularly for non-technical users, due to fragmented toolchains, technical barriers, and the lack of intuitive interfaces. PEAT-GENIE develops a modular, interoperable, and inclusive AI platform that transforms complex environmental data into decision-ready insights through natural language interaction, visual scenario simulation, and local impact assessments. By integrating data from RIs, Copernicus Earth Observation, DestinE components (e.g., Climate DT, Data Lake), and national sources, the platform will power AI-driven Digital Twins for peatland ecosystems, delivering robust predictions for hydrology, GHG flux, biodiversity, and land cover. Two

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recordType

award

status

SIGNED

region

EU

value

8819099.35

unit

EUR