GSI plans to use AI to develop robust landslide forecasting model: DG
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).
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"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
.
Live Events
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.
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News18
20 hours ago
- News18
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.
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Business Standard
21 hours ago
- 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.)
Time of India
21 hours ago
- Time of India
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). Explore courses from Top Institutes in Select a Course Category Healthcare Degree PGDM Others Data Science Finance Artificial Intelligence Data Analytics others Management Data Science Project Management Digital Marketing healthcare MBA Leadership Public Policy MCA Product Management Cybersecurity Design Thinking Technology CXO Operations Management Skills you'll gain: Financial Analysis in Healthcare Financial Management & Investing Strategic Management in Healthcare Process Design & Analysis Duration: 12 Weeks Indian School of Business Certificate Program in Healthcare Management Starts on Jun 13, 2024 Get Details "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 . Live Events 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.
