Discover how deep learning models analyze satellite imagery and hydrological data to predict natural disasters with 24-72 hour lead times.
This introductory research webinar explores how deep learning models transform natural disaster prediction and early warning systems across Asia. Learn how convolutional neural networks (CNNs) analyze multispectral satellite images to detect flood extent and track cyclone eye formation.
The expert speaker presents case studies from DRDO-SASE, ISRO, and IMD, demonstrating how early warning algorithms save human lives and protect infrastructure during extreme weather events.
Participants will get hands-on exposure to key industry standard toolkits during the session:
Basic understanding of programming; open to all disciplines.
Geoscientists, civil engineers, meteorology scholars, disaster management officials.
Every registered attendee receives an official, tamper-proof digital certificate issued by the Deep Science & Technology Consortium (DSTC). Includes a unique QR code and SHA-256 hash for instant verification on employer or university registries.
DRDO-SASE Chandigarh
DRDO-SASE Chandigarh