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CORDIS

Trusted Extremely Precise Mapping and Prediction for Emergency Management

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.

Coordinator

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Net EU contribution
€ 1 381 875,00
Address
KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIVERSITY CAMPUS
546 36 THESSALONIKI
Greece

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Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 1 381 875,00

Participants (20)