GLACIER LAKE FLOODS OUTBURST
Combine Remote Sensing Data and IoT Sensors for Continuous Monitoring of Glacial Lakes, with Machine Learning Models Predicting GLOFs. A User Friendly Dashboard Provides Real-Time Visualization, Alerts and Decision Support.
Innovative & Unique Approach :
Combine Remote Sensing, IoT, and Machine Learning in a scalable system adaptable to various glacial regions for global GLOF risk management.
Integrated Monitoring System
Combine Remote Sensing Data and IoT Sensors for Continuous Monitoring of Glacial Lakes, with Machine Learning Models Predicting GLOFs. A User Friendly Dashboard Provides Real-Time Visualization, Alerts and Decision Support.
Real time data and Predictive Analytics enable early GLOF warning and enhance decision making to reduce community Impact.
B.H.A.V.Y.A MARK-1
DESIGN SENSOR TOWER
Structure:
Height: 10-15m modular steel frame, weatherproof and anchored for stability. Base: Reinforced with frost-resistant insulation.
Power Supply
Solar Panels: Adjustable for seasonal sunlight. Wind Turbine: Auxiliary power source. Battery Backup: Ensures 24/7 operation.
Sensor Modules
Base Level: Water level, temperature, humidity sensors, and communication module.
Mid-Level: Weather monitoring instruments and high-resolution cameras.
Top Level: Glacier temperature sensors, communication antenna.