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GSI plans to use AI to develop robust landslide forecasting model: DG
This was stated by GSI Director General Asit Saha at a workshop held here on Friday to commemorate the first anniversary of the National Landslide Forecasting Centre (NLFC).
"There is ongoing research underway to develop a more robust landslide forecasting model and expert system leveraging artificial intelligence (AI)," Saha said.
He also reiterated the institution's long-term vision of operationalising a nationwide Regional Landslide Early Warning System (LEWS) by 2030.
The DG also said that the GSI would soon begin issuing operational landslide early warning bulletins for Rudraprayag district in Uttarakhand.
Saha commended the NLFC team for expanding its landslide early warning coverage from 16 districts across six states at its inception to 21 districts across eight states in 2025.
He also highlighted NLFC's pioneering efforts in integrating global best practices into forecasting systems and the successful upgrades of the NLFC dashboard, Bhusanket portal, and Bhooskhalan App, enhancing real-time monitoring and public access to critical landslide forecasts.
(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
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News18
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GSI plans to use AI to develop robust landslide forecasting model: DG
Kolkata, Jul 20 (PTI) The Geological Survey of India (GSI) is conducting a research programme to develop a more robust landslide forecasting model and expert system leveraging artificial intelligence (AI), an official said. This was stated by GSI Director General Asit Saha at a workshop held here on Friday to commemorate the first anniversary of the National Landslide Forecasting Centre (NLFC). 'There is ongoing research underway to develop a more robust landslide forecasting model and expert system leveraging artificial intelligence (AI)," Saha said. He also reiterated the institution's long-term vision of operationalising a nationwide Regional Landslide Early Warning System (LEWS) by 2030. The DG also said that the GSI would soon begin issuing operational landslide early warning bulletins for Rudraprayag district in Uttarakhand. Saha commended the NLFC team for expanding its landslide early warning coverage — from 16 districts across six states at its inception to 21 districts across eight states in 2025. He also highlighted NLFC's pioneering efforts in integrating global best practices into forecasting systems and the successful upgrades of the NLFC dashboard, Bhusanket portal, and Bhooskhalan App, enhancing real-time monitoring and public access to critical landslide forecasts. PTI SCH RG Disclaimer: Comments reflect users' views, not News18's. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. News18 may disable any comment at its discretion. By posting, you agree to our Terms of Use and Privacy Policy.
Business Standard
20-07-2025
- Business Standard
GSI plans to use AI to develop robust landslide forecasting model: DG
The Geological Survey of India (GSI) is conducting a research programme to develop a more robust landslide forecasting model and expert system leveraging artificial intelligence (AI), an official said. This was stated by GSI Director General Asit Saha at a workshop held here on Friday to commemorate the first anniversary of the National Landslide Forecasting Centre (NLFC). "There is ongoing research underway to develop a more robust landslide forecasting model and expert system leveraging artificial intelligence (AI)," Saha said. He also reiterated the institution's long-term vision of operationalising a nationwide Regional Landslide Early Warning System (LEWS) by 2030. The DG also said that the GSI would soon begin issuing operational landslide early warning bulletins for Rudraprayag district in Uttarakhand. Saha commended the NLFC team for expanding its landslide early warning coverage from 16 districts across six states at its inception to 21 districts across eight states in 2025. He also highlighted NLFC's pioneering efforts in integrating global best practices into forecasting systems and the successful upgrades of the NLFC dashboard, Bhusanket portal, and Bhooskhalan App, enhancing real-time monitoring and public access to critical landslide forecasts. (Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
