The Geological Survey of India (GSI) is developing a robust landslide forecasting model using artificial intelligence (AI) to enhance early warning systems and mitigate the impact of landslides. This initiative is part of GSI's efforts to leverage technology for disaster management and provide more accurate predictions of landslides, enabling timely evacuations and reducing the risk of casualties.
The National Landslide Forecasting Centre (NLFC) has already made significant progress in expanding its landslide early warning coverage from 16 districts across six states to 21 districts across eight states. Additionally, the NLFC has upgraded its dashboard, Bhusanket portal, and Bhooskhalan App to enhance real-time monitoring and public access to critical landslide forecasts.
GSI plans to operationalize a nationwide Regional Landslide Early Warning System (LEWS) by 2030, covering more districts and states. The organization will soon begin issuing operational landslide early warning bulletins for Rudraprayag district in Uttarakhand. Ongoing research is focused on developing a more effective landslide forecasting model and expert system using AI technology.
By harnessing the power of AI, GSI aims to improve the accuracy and effectiveness of its landslide forecasting capabilities, ultimately saving lives and reducing the impact of landslides on communities. The development of this AI-powered model is a significant step towards enhancing disaster management and mitigation efforts in India.
