DeepINDRA: An experimental system for forecasting street-scale flood inundation by coupling physical and deep learning models
Implementing Organization
IIT Delhi
Principal Investigator
Dr. Manabendra Saharia
Assistant Professor
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IIT Delhi
msaharia@iitd.ac.in
CO-Principal Investigator
Dr.Dhanya C.T
IITM Pune, Maharashtra
Professor; IIT Delhi; Dr. Parthasarathy Mukhopadhyay, Scientist-F
dhanya@civil.iitd.ac.in,parthasarathi64@gmail.com
Project Overview
In the project, it is proposed to provide a restropective and real-time street-scale flood inundation forecasting system prototyped over Guwahti and Hyderabad, Telangana, developed entirely using open-source technology. The experimental forecasting system (DeepINDRA) shall involve coupling hyper-resolution (1Km2) physical modelling with cutting-edge AI/ML techniques to generate street scale (10 Km2) forecasts. It is expected that the project will have wide sectoral applications in disaster management and critical infrastructure protection.
IIT Delhi
Assistant Professor
msaharia@iitd.ac.in
Professor; IIT Delhi; Dr. Parthasarathy Mukhopadhyay, Scientist-F
Acces sibility Controls