Supporting landslide disaster risk reduction using data-driven methods

Andrea Siposova, Rudolf Mayer, Matthias Schlögl, Jasmin Lampert

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung


Climate change brings about changes in both frequency and intensity of extreme weather events around the globe, with impacts on mountain areas such as the Austrian Alps being particularly severe. Conditions conducive to natural hazards such as landslides are expected to increase. The potential damage resulting from such gravitational mass movements underscores the importance of strengthening knowledge about the likelihood of their occurrence. Within the Austrian project gAia, we develop a data-driven approach to provide stakeholders with actionable knowledge to increase preparedness, aid decision-making, and support adaptation measures for making our society more climate-resilient.
Seiten (von - bis)10-11
FachzeitschriftERCIM NEWS- European Research Consortium for Informatics and Mathematics
PublikationsstatusVeröffentlicht - 27 Okt. 2023

Research Field

  • Ehemaliges Research Field - Data Science

Web of Science subject categories (JCR Impact Factors)

  • Environmental Sciences


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