Israel’s AI model predicts lightning-induced wildfires with high accuracy bringing hopes for Nepal

Ramat Gan, Israel: Researchers from Israel’s Bar-Ilan University have developed an AI model that predicts lightning-induced wildfires with over 90% accuracy, offering hope for Nepal, where forest fires surge during the dry April-May season.

Using seven years of global satellite data, the team, collaborating with Ariel and Tel Aviv Universities, analyzed vegetation, weather, and terrain to forecast wildfire risks. Tested with 2021 data, it outperformed older methods, making it a potential tool for Nepal, where lightning-sparked fires in remote areas are tough to manage.

As climate change fuels extreme weather, Nepal’s forests, wildlife, and communities face growing threats. Though not yet real-time, this AI could enable quicker responses, cutting damage in the dry season. Published in a science journal, the research highlights machine learning’s role in tackling global wildfire risks.