Earlier events that provide context for this topic.
India's IMD leverages AI for enhanced cyclone prediction amidst Cyclone Remal
May 2024
During Cyclone Remal, which impacted West Bengal and Bangladesh, the Indian Meteorological Department (IMD) showcased its advanced capabilities, integrating AI and machine learning models to refine prediction accuracy for cyclone track and intensity. This allowed for more precise early warnings and targeted evacuation efforts, significantly reducing casualties. The use of high-resolution satellite imagery from ISRO's INSAT series, coupled with data from Doppler Weather Radars, provided real-time updates, demonstrating India's growing technological prowess in disaster preparedness. Vyyuha's analysis suggests this trend of AI integration will be a key area for future UPSC questions.
UPSC Angle: Role of AI/ML in EWS, inter-agency coordination (IMD, NDMA), satellite technology contributions, and India's preparedness for cyclonic events.
Drone deployment for post-flood damage assessment and relief in Assam
July 2024
Following severe floods in Assam, local disaster management authorities, in collaboration with NDRF and state police, extensively deployed drones for rapid aerial surveys. These drones provided critical real-time imagery to assess the extent of damage to infrastructure, identify marooned populations, and map safe routes for relief delivery. This deployment highlighted the increasing reliance on drone technology for efficient post-disaster assessment and response, particularly in geographically challenging terrains where ground access is difficult. It also underscored the need for clear regulatory frameworks for drone operations in emergency situations.
UPSC Angle: Applications of drone technology in disaster response, challenges of geographical terrain, regulatory aspects of drone usage, and state-level disaster management initiatives.