859
Category: Software
Organization: Ministry of Defence, Defence Research and Development Organisation (DRDO)
Abstract: Description: GLOFs are considered to be quite a common hazard in the glacial environment, and the current state of monitoring systems can be enhanced. The primary objective of this project is to create an Early Warning System (EWS) that will use the advantages of remote sensing, IoT sensors and machine learning technologies to monitor and forecast GLOFs events.
Expected Outcome: The outcome of the project will be a predictive model or a sensor based system which enhances the ability to identify precursor signs of GLOFs in good time, allowing for timely evacuation and hence reducing the loss of lives and property.
