Amrita Vishwa Vidyapeetham FOR MOTHER EARTHAmrita landslide research

AI-integrated IoT · since 2009

The landslide
early warning system

What began as the world’s first wireless sensor network for landslide detection is now a real-world lifeline across the Western Ghats and the Himalayas.

Researcher at a monitoring station above a hillside town
Field monitoring · Sikkim-Darjeeling Himalayas
300+

Sensors, continuous real-time monitoring

33 m+

Depth of multi-layer sensing

Up to 24 h

AI/ML nowcast and forecast

5,000+

Lives impacted in Western Ghats & Himalayan deployments

How it works

From a signal underground
to a family on the move

Each warning passes through five stages. Select a stage.

Decision-support pipeline

Sense → Threshold → Model → Warn → Act

Sense the slope

Sensors more than 33 m below ground, satellites and automatic weather stations record rainfall, moisture, pore pressure, microseismic and movement signals in real time.

Sensing & communication

Built for remote slopes
and monsoon storms

Subsurface

Multi-layer heterogeneous sensing

More than 33 m of subsurface coverage capturing rainfall, moisture, pore pressure, microseismic and movement signatures.

Edge

Context- and energy-aware edge nodes

Self-managing devices balance compute, communication and battery life across remote, harsh terrain.

Network

Real-time fault-tolerant communications

Adaptive software keeps data flowing through link failures, monsoons and power events.

AI/ML decision support

Nowcast, and a
24-hour forecast

Site-specific and regional rainfall thresholds combine with multi-parameter AI models. They keep the nowcast reliable when real-time feeds are interrupted, and extend the warning horizon up to 24 hours ahead.

That gives communities and authorities critical preparation time before extreme events.

Precursors

IoT-driven microseismic sensing

A distributed microseismic IoT system detects subsurface movement signatures, so slope-failure precursors are identified early.

Indukala et al., IEEE Access, 2024

Citizen science

Landslide Tracker App & Amrita Kripa

Spatio-temporal crowd-sourced reports complement sensor data and strengthen community resilience.

See the apps →

Where it runs

Four regions,
from the Ghats to the Himalayas

First deployed in Munnar in 2009, the system has issued advance warnings every monsoon since.

SiteSinceNotes
Western Ghats · Munnar, Idukki, Kerala2009First deployment; 14% of the territory is landslide-prone
North-East Himalayas · Sikkim-Darjeeling2018Co-funded by the Ministry of Earth Sciences and Sikkim SDMA; deep-earth, hydrological and meteorological sensing
Karnataka · KodaguMoU 2023With KSNDMC; rainfall-threshold dynamic landslide maps
Odisha · GajapatiMoU 2024Cyclone-induced landslides
Map of India marking Amrita’s landslide field reach
Field reach across India’s landslide-prone states.
Source: Amrita Vishwa Vidyapeetham, Disaster Risk Reduction & Community Resilience 2026, pages 6, 7, 9 and 15.