AIMS project progress: development of a cross-border avalanche monitoring system with artificial intelligence, February 2026
Project partners AIMSThe project, which brings together seven countries in the Adriatic-Ionian region, is successfully advancing the development of an advanced, artificial intelligence-based landslide monitoring and risk assessment system, with the aim of establishing a unified, cross-border approach to landslide risk management based on the use of big data, modern sensors and machine learning methods.
The partners have compiled a comprehensive overview of landslide data from all participating countries, revealing a wide variety of approaches, data formats and legal frameworks. The analysis revealed common challenges ranging from lack of funding and technology gaps to inconsistent data and weak institutional coordination. The report highlights the need for harmonised standards, advanced observation technologies, greater use of artificial intelligence and a clearer regulatory framework to facilitate cross-border cooperation.
An innovative, digital landslide monitoring platform is being developed to serve as a secure hub for collecting, displaying and analysing landslide data. It will include: real-time data management, interactive maps, AI predictions (using LSTM and UNet CNN models to analyse satellite imagery) and flexible data export options. The beta version of the platform is currently being refined and aims to enhance avalanche monitoring and research. Read more about the progress of the project in AIMS Newsletter vol. 2.
