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.

Landslides are a frequent natural hazard in mountainous areas around the world, causing significant losses of life and property.

Indian Institute of Technology Mandi 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.

Landslides are a frequent natural hazard in mountainous areas around the world, causing significant losses of life and property. To estimate and eventually mitigate these risks, it is essential to identify areas that are susceptible to landslides. A Landslide Susceptibility Mapping (LSM) indicates the likelihood of a landslide occurring in a specific area based on causative factors such as slope, elevation, geology, soil type, distance from faults, rivers and faults, and historical landslide data.

The use of Artificial Intelligence (AI) is becoming increasingly vital for the prediction of natural disasters such as landslides. They can potentially predict extreme events, create hazard maps, detect events in real-time, provide situational awareness, and support decision-making. Machine Learning (ML) is a subfield of Artificial Intelligence that enables computers to learn and improve from experience, without being explicitly programmed. It is based on algorithms that can analyse data, identify patterns, and make predictions or decisions, much like human intelligence.