Remote sensing and machine learning can help reacting to disasters
Natural disasters like fires or floods are becoming more frequent and devastating. Being able to assess risks, be prepared and react after a catastrophe strikes has become of the uttermost importance. Remote sensing (from satellites and drones) and machine learning are entering the practitioners world and support rescue teams, crisis teams and decision makers.
Devis Tuia from ENAC, Stefan Doerr (University of Swansea) and Liz Stephens (University of Reading) were invited in an episode of Shift - Living in the digital age to talk about the role of new AI and remote sensing in the prevention and response to natural disasters. The topic is more important than ever and in this reportage several success stories show how AI is becoming a game changer to support people in distress, map damage and organise rescue actions.