NEWS received from
Stefano Luigi Gariano (CNR, Italy)
The final webinar of the PRIN-ITALERT (Prediction of Rainfall-INduced landslides – Improving multi-scale TerritoriAL Early warning through aRTificial intelligence) project is scheduled on Tuesday, 24 February 2026 at 10:00 am CET (9:00 am UTC).
The webinar will focus on the main findings of the project. After a brief introduction, three main presentations will be delivered:
| – Landslide data and satellite rainfall products to define reliable tools for landslide prediction, by Stefano Luigi Gariano (Italian National Research Council) |
| – Leveraging hydrological information through machine learning for Landslide Early Warning Systems, by Nunziarita Palazzolo (University of Catania) |
| – A dynamic, machine learning–based early warning model for daily spatio-temporal landslide prediction, Nicola Nocentini (University of Florence) |
To join the webinar (no registration needed), use the following link:
More info on the project can be found
here: https://www.irpi.cnr.it/en/project/prin-italert/