Himalayan Glacial Lake Monitoring Breakthrough Achieved Through AI and Satellite Technology
Scientists have created an automated system for tracking Himalayan glacial lakes using artificial intelligence and satellite imagery. The technology reportedly achieves over 94% accuracy in identifying these potentially dangerous water bodies that threaten downstream communities with catastrophic flooding.
Automated Glacial Lake Detection System Developed
Researchers have established an automated method for mapping glacial lakes in Himachal Pradesh using multi-source remote sensing data and machine learning, according to recent scientific reports. The system employs a random forest classifier that analysts suggest achieved classification accuracy of 93.69% when combining Sentinel-1 SAR, Sentinel-2 MSI, and SRTM DEM data, with performance improving to 94.44% when incorporating high-resolution Planet imagery.