MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061094 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on May 14, for 'system and method for forest damage detection based on satellite image segmentation.'
Inventor(s) include Dr. Gnanakumari. R; Nandhana K S; Ridha D R; and Samriddhi P.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for automated forest damage detection and environmental monitoring using satellite imagery and deep learning-based segmentation. The system comprises a satellite (100) configured to capture Earth surface images (102), a data acquisition unit (104) for receiving and storing the imagery, and a preprocessing module (110) for preparing the data through normalization and augmentation. A YOLOv8 segmentation module (112) performs pixel-level classification to distinguish forest and non-forest regions. A forest damage analysis unit (114) identifies degraded forest areas based on segmentation irregularities, while a coverage calculation unit (116) computes forest coverage statistics. The results are displayed through a visualization and reporting interface (118) on a display device (120), highlighting damaged regions (122). The invention further includes an optional temporal analysis module for monitoring changes over time, enabling accurate, scalable, and real-time forest monitoring."
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