MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079427 A) filed by Chaitanya Bharathi Institute Of Technology on June 27, 2026, for An Integrated Gis-Based System And Method For Simulation And Prediction Of Land Use/Land Cover Changes Using Artificial Neural Network–cellular Automata Modelling In River Sub-Basins.
Inventors include Dr. Kodukula Jagannadha Rao; Dr. Nemani Ravi Dakshinamurthy; Sri Ramanarayan Sankriti; Ms. Guguloth Sravanthi; Ms. Sirimalle Srividya; Ms. Aerpula Harshitha; Dr. Subbarayan Saravanan; Smt. Sivaranjani Sivalingam; and Dr. Srivel.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The invention provides an integrated, open-source GIS-based system and computer-implemented method for the simulation and prediction of Land Use/Land Cover (LULC) changes in river sub-basins. The system comprises seven functional modules: (A) a Multi-Temporal LULC Data Ingestion Module for processing satellite-derived classified raster maps; (B) a Spatial Variable Derivation and Preprocessing Module generating DEM, slope, and proximity-based driver rasters; (C) a Transition Matrix Computation Module computing class-to-class transition probabilities; (D) a Hybrid Artificial Neural Network–Cellular Automata (ANN–CA) Modelling Engine that learns non-linear spatial transition patterns and simulates spatially explicit future LULC maps; (E) a Dual Validation Module employing both the Kappa coefficient and coefficient of determination R² in absolute area and change-delta modes; (F) a Future LULC Prediction Module; and (G) an SDG Impact Assessment Module that maps LULC change projections onto Sustainable Development
Disclaimer: Curated by HT Syndication.
