Save the date for Friday, 23 January 2026 at 2:00 pm UTC, for the LandAware General Assembly!
During the LandAware Workshop 2025, held in Ljubljana, Slovenia, on 17–19 September 2025, a General Assembly was held to welcome the new president and the new members of the executive committee. A continuation of that Assembly is scheduled for Friday, 23 January 2026 at 2:00 pm UTC.
The aim of the General Assembly is to discuss future activities of the LandAware network. The status of the Working Groups currently active will be discussed, and new Task Forces will be presented.
If you want to propose new working groups or task forces, or other activities to be carried out within the LandAware network, this will be the occasion to present and discuss with all members.
The General Assembly will be held online on the Teams platform.
This session focuses on LEWS at all scales and stages of maturity, from prototype to active and dismissed ones. Test cases describing operational application of consolidated approaches are welcome, as well as works dealing with promising recent innovations, even if still at an experimental stage. Contributions addressing the following topics will be considered positively: – real-time monitoring systems (IoT); – prediction tools for warning purposes; – in-situ monitoring instruments and/or remote sensing devices; – analysis of hydro-meteorological drivers to enhance forecasting; – warning models for issuing warning; – operational applications and performance analyses; – machine learning techniques applied for early warning purposes.
The abstract submission deadline is 15 January 2026, 13:00 CET.
On-site participants who wish to apply for Roland Schlich travel support must submit an abstract by 1 December 2025, 13:00 CET. They must be the contact author and the first and presenting author of their contribution.
Conveners: Luca Piciullo, Lisa Luna, Stefano Luigi Gariano, Ting Xiao, Samuele Segoni
This session focuses on contributions dealing with design, implementation, and application of IoT monitoring systems and machine learning methods for landslide studies. Test cases describing operational applications are particularly welcome, as well as studies dealing with promising recent innovations, even if still at an experimental stage.
Topics of interest include, but are not limited to: ● design and deployment of IoT-based monitoring networks ● processing of geotechnical, hydrological, and meteorological data in IoT/ML frameworks ● methods for the analysis of complex datasets ● ML applications for landslide detection and forecasting ● real-time monitoring and analysis
The abstract submission deadline is 15 January 2026, 13:00 CET.
On-site participants who wish to apply for Roland Schlich travel support must be the contact author and the first and presenting author of their contribution. They must submit an abstract by 1 December 2025, 13:00 CET.
