MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541131906 A) filed by Dr. L. Mary Gladence, Chennai, Tamil Nadu, on Dec. 26, 2025, for 'post flood disease risk prediction using satellite imagery and ai.'
Inventor(s) include Harini Rajkumaran; J. Merlin Mary Jenitha; R Geetha; Dr. Pjeyanthi; D Ramalakshmi; and Hema Prasanna.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Floods often trigger secondary crises, with disease outbreaks emerging as one of the most severe consequences due to contaminated water, disrupted sanitation, and stagnant floodwaters that create ideal conditions for the spread of waterborne and vector-borne diseases. Traditional surveillance systems lack the ability to forecast such outbreaks with spatial and temporal precision, limiting proactive interventions. To address this gap, this project develops an Al-powered predictive system that combines satellite imagery with machine learning algorithms to assess and forecast post-flood disease risks. The approach integrates remote sensing data with environmental and demographic parameters to identify flood-affected zones, evaluate potential health hazards, and predict outbreak probabilities. Satellite images are preprocessed using OpenCV and analyzed . with convolutional neural networks (CNNs) in TensorFlow/Keras to detect flooded regions and extract risk-related features such as stagnant water, vegetation stress, and land surface changes. These are further enriched with inputs like population density, healthcare accessibility, and sanitation infrastructure to build a context-aware predictive framework. By merging environmental features with socioeconomic factors, the system provides more comprehensive and accurate risk assessment than traditional methods. The outcome has significant implications for disaster preparedness and public health management, especially in regions frequently exposed to climate-induced flooding. By shifting from reactive to proactive disease control, the system can help reduce morbidity and mortality, strengthen resilience, and support evidence-based decision-making for emergency response systemsp."
Disclaimer: Curated by HT Syndication.
