TEMA

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The TEMA Project is designed to improve natural disaster management, specifically for wildfires and floods, by integrating AI-driven analytics, satellite intelligence, and geospatial data to provide real-time insights and predictive capabilities. The platform processes and fuses data from satellites, drones, in-situ sensors, meteorological models, topographic maps, and social media sources, enabling near-real-time monitoring and disaster evolution forecasting.

By leveraging advanced AI, TEMA enhances emergency response by automating the extraction of critical insights and translating them into actionable information for first responders, decision-makers, and emergency services. A dynamic, semantically annotated 3D map provides a continuously updated view of the affected areas, while the Extended Reality (XR) interface allows for real-time scenario analysis, helping emergency teams anticipate risks, optimize resource allocation, and evaluate different response strategies before deployment.

Latitudo 40 plays a key role in the project by ensuring the integration of partner technologies within the TEMA gateway, facilitating seamless data exchange across the platform. Additionally, it develops geovisual analytics tools to extract and display relevant environmental and risk layers from raw satellite and sensor data, making critical information accessible to end users. Latitudo 40 also contributes to the final deployment and exploitation of the TEMA platform, ensuring its scalability and operational efficiency for future disaster management applications.