Enhancing Thunderstorm Potential Area Detection over Northeast India Using INSAT series of Data: A Deep Learning Approach
This study introduces GeoConvNet, a deep learning framework that leverages multi-spectral INSAT satellite data to accurately detect and classify convective cloud structures over Northeast India, demonstrating strong correlation with rainfall and lightning observations while effectively addressing challenges posed by complex terrain through spatial buffering and terrain-based filtering.