Intellectual Property India Publishes Patent Application for Cloud-Based Integrated Multi-Hazard Environmental Change Detection And Prediction System Using Satellite Imagery And Machine Learning

MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621073877 A) filed by Symbiosis International Deemed University on June 12, 2026, for Cloud-Based Integrated Multi-Hazard Environmental Change Detection And Prediction System Using Satellite Imagery And Machine Learning.

Inventors include Dr. Princy Diwan; Aishwarya Brahmankar; Tejas Bawane; and Radhey Wanajari.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: ABSTRACT CLOUD-BASED INTEGRATED MULTI-HAZARD ENVIRONMENTAL CHANGE DETECTION AND PREDICTION SYSTEM USING SATELLITE IMAGERY AND MACHINE LEARNING The present invention discloses a cloud-based integrated multi-hazard environmental change detection and prediction system (100) that processes multi-temporal satellite imagery from Sentinel-1 and Sentinel-2 missions to automatically detect, classify, and forecast environmental changes. The system (100) comprises interconnected modules including a user interface module (110), a data acquisition module (120), a preprocessing module (130), a spectral index computation module (150) for computing NDVI, NDWI, NDBI, and NBR indices, a change detection module (160), a hazard mapping module (165) employing rule-based classification for identifying urban expansion, vegetation loss, flooding, and fire damage, a machine learning classification module (170) employing a Random Forest algorithm for enhanced land cover classification, a visualization module (180), an area calculation module (185), and a trend analysis and prediction module (190) for historical trend analysis and future environmental condition estimation. [

Disclaimer: Curated by HT Syndication.