Climate change is leading countries in the EU to experience increasingly frequent and damaging adverse climatic events, such as large fires and flooding. The impact of severe weather events is expected to make EU increasingly vulnerable due to the magnitude and frequency with which they will occur in the coming years.
Natural Disaster Management (NDM), in order to support disaster prevention and preparedness, can be greatly improved by the adoption of technologically advanced tools capable of analyzing and processing large volumes of data from different sources to provide predictions on the evolution of phenomena in (near-)real-time and to be useful to stakeholders for recommendations and guidelines to adopt in dealing with a complex emergency.
In light of such urgency, and under the advancements in science and technology that have been achieved in recent years, the TEMA will greatly improve NDM 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, groundbreaking 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.
TEMA joins together a pan-European, fully qualified and multidisciplinary consortium, composed of 19 Partners experts in all relevant specific subfields (data analytics, AI/machine learning, remote sensing/Earth Observation, federated and cloud computing, fire/flood modeling, geovisual analytics, AR, NDM), able to properly face the challenge. Partners come from leading research laboratories with significant international R&D experience and relevant end-users from across Europe.