Abstract
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, funded by KIRAS, 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.
| Original language | English |
|---|---|
| Article number | 1 |
| Pages (from-to) | 10-11 |
| Number of pages | 2 |
| Journal | ERCIM NEWS- European Research Consortium for Informatics and Mathematics |
| Issue number | 135 |
| Publication status | Published - 27 Oct 2023 |
Research Field
- Former Research Field - Data Science
Keywords
- Landslides
- Crisis Management
- Risk Reduction
- Climate Change
- Data-driven approach
- Machine Learning
Web of Science subject categories (JCR Impact Factors)
- Environmental Sciences
