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.
Fields of science
- humanitieslanguages and literaturelinguistics
- engineering and technologyenvironmental engineeringremote sensing
- social scienceslawhuman rightshuman rights lawnational state of emergency
- natural sciencesearth and related environmental sciencesphysical geographynatural disasters
- natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
546 36 Thessaloniki
Greece
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Participants (19)
51147 Koln
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00144 Roma
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28760 Tres Cantos Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28037 Madrid
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41004 Sevilla
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24009 Leon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
40789 Monheim Am Rhein
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5020 Salzburg
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1040 Bruxelles
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80128 Napoli
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3511AE Utrecht
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80686 Munchen
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98122 Messina
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87100 Kajaani
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87100 Kajaani
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10177 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
340 05 Limni
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09123 Cagliari
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81373 Munchen
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