MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083185 A) filed by Dr. Sherjah P Yusuf Ali; Aiswarya Shajan; Esther Jacson; Mithra Joshi; and Nasreen K N on July 07, 2026, for System And Method For Automated Satellite-Based Water Quality Assessment, Turbidity Prediction, And Pollution Mapping Using Geospatial Analytics, Cloud Computing, And Machine Learning.
Inventors include Dr. Sherjah P Yusuf Ali; Aiswarya Shajan; Esther Jacson; Mithra Joshi; and Nasreen K N.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a computer-implemented system and method for automated water quality assessment, turbidity prediction, and pollution mapping using satellite remote sensing, geospatial analytics, cloud-based processing, and machine learning techniques. The system comprises a satellite data acquisition module configured to acquire multispectral imagery from Earth observation platforms, an image preprocessing module configured to perform cloud masking, atmospheric correction, normalization, and waterbody extraction, and a feature extraction module configured to derive spectral bands, spectral ratios, and normalized difference indices. The invention further comprises a predictive analytics module incorporating a dual-model architecture including regional and global predictive models with adaptive model selection capabilities for estimating turbidity values. Generated outputs are processed through visualization and decision-support modules to create spatial water quality maps, identify pollution hotspots, monitor temporal variations, and generate threshold alerts for freshwater ecosystem assessment and management.
Disclaimer: Curated by HT Syndication.
