Back close

Amrita Wireless Sensor Network for Landslide Detection System for Himalayas

Start Date: Monday, Oct 01,2012

Funded by:Office of the Principal Scientific Advisor, GoI
Amrita Wireless Sensor Network for Landslide Detection System for Himalayas

This project is to study the feasibility for deploying an integrated real-time landslide monitoring and detection system using emerging wireless sensor network technology. The landslide monitoring and detection system will be used for the detection and early warning of rainfall-induced landslides, in three landslide prone areas in the Himalayas, India. 

The Wireless Sensor Network for real-time landslide monitoring & detection, which has been functioning in Munnar since 2008, proved its capability when it issued a real-time landslide warning in July 2009.

The Government of India have expressed interest in deploying it in other landslide-prone areas, including the rest of Kerala, Himalayan region and Maharashtra. In fact, R Chidambaram, principal scientific advisor to Government of India, visited the deployment site at Munnar with the intention of replicating the system in Northern parts of India.

Patents:

Network based system for predicting landslides and providing early warnings(Dr. Maneesha V. Ramesh)

Related news:

http://timesofindia.indiatimes.com/city/kochi/Landslide-alert-sensors-to-check-dam-breakage/articleshow/11186669.cms

hima
landhima_0

Related Projects

Elastomer Based Nanocomposites for Control System Bladders
Elastomer Based Nanocomposites for Control System Bladders
Modelling of Coconut Tree Trunk
Modelling of Coconut Tree Trunk
Statistical Approaches to Generating Concept Graphs
Statistical Approaches to Generating Concept Graphs
Material Composition and Fabrication of Plastic Bricks
Material Composition and Fabrication of Plastic Bricks
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Admissions Apply Now