Recording of the WG5 meeting of 25 June 2024
Topic: Landslide susceptibility and road-network connectivity by means of Machine Learning
Joshua Dimasaka (Cambridge University, Centre for Risk in the Built Environment) presented his work on how landslide susceptibility and the associated road-network connectivity can be calculated with Machine Learning. And he showed a very illustrative application of his methods to the case of Norway.
The recorded presentation is available on our YouTube channel: