Singh Harikesh

My research focuses on developing a forest fire spread prediction model using remote sensing and machine learning techniques. I integrate meteorological and landscape variables to predict fire behaviour and spread dynamics. My work involves satellite-based fire detection, post-fire vegetation recovery assessment, and risk mapping. I use Sentinel-1 SAR, Sentinel-2 optical data, LiDAR, and other geospatial datasets to analyze fire-prone regions and improve predictive models. Additionally, I am developing a Cellular Automaton (CA) model for fire spread simulation and exploring hybrid empirical-based and ML-based approaches to enhance accuracy. My research has applications in wildfire management, ecosystem resilience, and policy planning.