terrAIntel democratises access to and interpretation of Earth Observation (EO) data, transforming it into actionable insights. Designed for non-experts, the platform leverages AI and Natural Language (NL) processing to support fact-based reporting, storytelling, and decision-making, empowering users across data journalism, corporate, and public sectors to harness its potential with confidence and ease.
terrAIntel addresses the key challenges faced by non-technical users, particularly in the field of journalism. These challenges include technical barriers to accessing EO data products, limited interpretability without specialised expertise, processing delays that hinder timely reporting, and a lack of transparency in data sources and methodologies.
To overcome these obstacles, terrAIntel integrates Natural Language Processing (NLP) capabilities, allowing users to pose geospatial questions in natural language and receive intuitive, data-driven responses. This innovation develops a demonstrator that transforms dense, complex EO data products into actionable insights, empowering non-expert users to confidently utilise EO data products for fact-based reporting, environmental monitoring, and urban development while minimising on-ground risks.
Key features include a user-friendly dashboard for data visualisation, customisable fields of interest, and metadata transparency to foster trust in the insights provided. terrAIntel streamlines the entire EO data product lifecycle by accessing diverse datasets and delivering tailored, comprehensible outputs for demonstration. This approach not only simplifies data interpretation but also promotes sustainability through improved data reusability.
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