TEMA

In the TEMA project, technologies and processes are being developed to provide the best possible support to authorities and first responders in preparing for natural disasters and in disaster management. One focus of the research work is on the further development of the AI-based extraction of forest fire and flood events from remote sensing data as well as the integration of other, heterogeneous data sources into the analysis process. Users will be informed at an early stage when it will be possible to update the situational picture with information from earth observation. For this purpose, a variety of information is used and processed fully automatically, e.g. from web data (warnings and forecasts), from simulations, the satellite orbits as well as the forecasted processing time.

Disaster management during natural disasters is usually time-critical and can be improved by developing automated methods for accurate situational assessment and prediction of the disaster evolution.
Synergistic analysis of different heterogeneous data sources is an important step in this process.
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