Researchers at the National Institute of Technology Karnataka (NITK), Surathkal, have developed an integrated landslide early warning framework designed specifically for the Western Ghats, one of India’s most landslide-prone regions.
The system, called Slope Vulnerability and LandSlide Assessment (SVALSA), combines rainfall analysis, real-time monitoring of soil behaviour and surface movement, and machine learning to provide reliable landslide warnings while reducing false alarms.
Why existing warnings often fail
The Western Ghats account for nearly 60% of reported l
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