The developed algorithm has been tested for landslides and can be applied to other natural phenomena such as floods, avalanches, extreme weather events, rock glaciers and permafrost, mapping that tend to have very less data points, helping to estimate the risks.

 Researchers have developed a new algorithm using Artificial Intelligence and Machine Learning (AI&ML) that could improve the accuracy of prediction for natural hazards. The algorithm developed by Dr. Dericks Praise Shukla, Associate Professor, School of Civil and Environmental Engineering, IIT Mandi, and Dr. Sharad Kumar Gupta, former research scholar, IIT Mandi, currently working at Tel Aviv University (Israel), can tackle the challenge of data imbalance for landslide susceptibility mapping which represents the likelihood of landslide occurrences in a given area. The results of their work have recently been published in the journal Landslides