Landslides may significantly hamper earthquake response, because they can block roads. However, there is very little information about how, where and when earthquakes triggered landslides within the first few hours after a global earthquake occurred. Therefore, the European-Mediterranean Seismological Centre (EMSC) started a project in collaboration with the Qatar Computing Research Institute (QCRI) to evaluate whether it is possible to detect such landslides by monitoring tweets on Twitter in real time.
Although such detection already exists for earthquakes at EMSC, the detection of landslides presents a different challenge, as the number of tweets published on this topic is very small. In order to tackle this issue, EMSC is working together with QCRI, which has developed AIDR (Artificial Intelligence Disaster Response). This is a platform, which harvests tweets from Twitter and uses artificial intelligence (AI) to analyse the pictures. A database of landslide pictures was the first training dataset generously provided by the British Geological Survey. Further AI training is currently ongoing. Besides that, we are manually checking all detected tweets on a daily basis and hope to have an operational prototype in the coming months.