Trusted Extremely Precise Mapping and Prediction for Emergency Managementbroad
TEMA · Horizon Europe grant · 2022-12-01–2026-11-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL4-2022-DATA-01 · scheme HORIZON-RIA · topic HORIZON-CL4-2022-DATA-01-01. CORDIS record →
Objective
TEMA will greatly improve Natural Disaster Management (NDM, e.g., for wildfires, floods) by automating precise semantic 3D mapping and disaster evolution prediction to achieve NDM goals in near-real-time. It will analyze and fuse many heterogeneous extreme data sources: smart drone and in-situ sensors, remote sensing data, topographical data, meteorological data/predictions and geosocial media data (text, image and videos). TEMA will focus on the extreme nature of the data, due to their varying resolution and quality, very large volume and update rate, different spatiotemporal resolutions and acquisition frequencies, real-time needs and multilingualism. It will develop an integrated, ground-breaking NDM platform, focusing on real-time semantic extraction from multiple heterogeneous data modalities and sources, on-the-fly construction of a meaningful semantically annotated 3D disaster area map, prediction of disaster evolution and improved communication between service providers and end-users, through automated process triggering and response recommendations. Semantic analysis computations will be distributed across the edge-to-cloud continuum, in a federated manner, to minimize latency. Extreme data analytics will be performed in a trustworthy and transparent way, by greatly advancing state-of-the-art AI and XAI approaches. The constantly updated 3D map and the disaster evolution predictions will form the basis for an advanced, interactive, Extended Reality (XR) interface, where the current situation will be visualized and different response strategies will be dynamically evaluated through simulation by NDM personnel. The innovative, scalable and efficient TEMA platform will provide precise NDM support, based on extreme data analytics. It will be validated on two critical disaster use-cases (wildfires and floods), in four EU countries, and will form the basis for the TEMA NDM-Analytics-as-a Service (NDM-AaaS) model.
Beneficiaries (23)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| ARISTOTELIO PANEPISTIMIO THESSALONIKIS | EL | coordinator | €1,379,375 | |
| DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV | DE | participant | €1,384,688 | |
| FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV | DE | participant | €1,013,036 | |
| UNIVERSIDAD DE SEVILLA | ES | participant | €900,500 | |
| ENGINEERING - INGEGNERIA INFORMATICA SPA | IT | participant | €750,000 | |
| UNIVERSITA DEGLI STUDI DI MESSINA | IT | participant | €586,750 | |
| THE LISBON COUNCIL FOR ECONOMIC COMPETITIVENESS ASBL | BE | participant | €540,000 | |
| KAJAANIN AMMATTIKORKEAKOULU OY | FI | participant | €536,750 | |
| NORTHDOCKS GMBH | DE | participant | €499,375 | Yes |
| NELEN & SCHUURMANS TECHNOLOGY BV | NL | participant | €498,750 | Yes |
| TECNOSYLVA SL | ES | participant | €498,750 | Yes |
| LATITUDO 40 SRL | IT | participant | €426,875 | Yes |
| INTERDISCIPLINARY TRANSFORMATION UNIVERSITY | AT | participant | €410,498 | |
| ATOS IT SOLUTIONS AND SERVICES IBERIA SL | ES | participant | €381,500 | |
| BAYERISCHES ROTES KREUZ | DE | participant | €343,750 | |
| KENTRO MELETON ASFALEIAS | EL | participant | €320,000 | Yes |
| PARIS-LODRON-UNIVERSITAT SALZBURG | AT | participant | €296,002 | |
| KAINUUN HYVINVOINTIALUE | FI | participant | €250,267 | |
| REGIONE AUTONOMA DELLA SARDEGNA*RAS | IT | participant | €218,750 | |
| DIMOS MANTOUDIOU - LIMNIS - AGIAS ANNAS | EL | participant | €101,500 | |
| KAJAANIN KAUPUNKI | FI | participant | €3,108 | |
| ATOS SPAIN SA | ES | thirdParty | €0 | |
| NELEN & SCHUURMANS CONSULTANCY BV | NL | thirdParty | €0 | Yes |
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