Landslides have caused extensive damage to both human lives and infrastructure across the globe and the issue has further accelerated due to climate change. As times change and new problems emerge, scientists are equipping themselves with state-of-the-art technologies to deal with all of them. Geologists are now able to predict landslides with greater accuracy by using AI-based machine learning techniques.
Superposable Neural Network
The new method to predict landslides was mentioned in a research paper published in the journal Communications Earth & Environment. The new method known as the “superposable neural network” combines information provided via multiple sources and comes to a conclusion with regards to a specific area. The algorithms can identify patterns and trends in the data and predict an exact location of a possible landslide.
SNN Model Was Successful in Himalayan Areas
After feeding the SNN system with data from multiple sources, the geologists were able to successfully predict landslides in the eastern Himalayas. The researchers were also able to filter the primary variables, something that the older systems didn’t have.
