WG05 Innovations

WG5 webinar “Landslide susceptibility and road-network connectivity with Machine Learning”

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:

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