Project description
Semantic 3D mapping for precise natural disaster management
As weather-related disasters are on the rise, disaster management is more important than ever. The use of advanced technologies is considered essential. The EU-funded TEMA project will improve natural disaster management (NDM) by automating precise semantic 3D mapping and disaster evolution prediction. To that end, it will analyse and combine many heterogeneous extreme data sources and develop an integrated, ground-breaking NDM platform. TEMA will focus on real-time semantic extraction from multiple heterogeneous data modalities and sources and construct a semantically annotated 3D disaster area map, which will be constantly updated, allowing the personnel to visualise and evaluate different response strategies through simulation.
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
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
546 36 THESSALONIKI
Greece
See on map
Participants (20)
51147 Koln
See on map
00144 ROMA
See on map
28760 Tres Cantos Madrid
See on map
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
See on map
41004 Sevilla
See on map
24009 Leon
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
40789 Monheim Am Rhein
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5020 Salzburg
See on map
1040 Bruxelles / Brussel
See on map
80128 Napoli
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3511AE Utrecht
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80686 Munchen
See on map
98122 Messina
See on map
87100 Kajaani
See on map
Participation ended
87100 Kajaani
See on map
10177 Athina
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
340 05 LIMNI
See on map
09123 Cagliari
See on map
81373 Munchen
See on map
87300 Kajaani
See on map