We’ve got a new project in the DCNA: On October 12th, the kick-off meeting for GAIA took place.

In this project (funded by FFG KIRAS, the project partners Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Austrian Institute of Technology GmbH, GeoVille Information Systems and Data Processing GmbH, Disaster Competence Network Austria (DCNA), Geologische Bundesanstalt, and Bundesministerium für Landesverteidigung (BMLV), under the direction of SBA Research, deal with the development of hazard-warning maps for landslides from consolidated data inventories: Since such mass movements represent a security risk for people and infrastructure, their detection as well as the availability of up-to-date and comprehensive information about the likelihood of occurrence is crucial in order to be able to act in good time and avert potential damage at an early stage.

The aim of gAia is to develop these essential foundations for decision-making support for consumers with the help of modern methods of artificial intelligence (AI). For this purpose, machine learning techniques are used to merge and harmonize heterogeneous data sources, as well as deep learning architectures to develop a prediction model for the probability of occurrence of landslides.