In developing nations like Nepal, people frequently move to urban areas seeking better educational and job prospects. The Urban Heat Island (UHI) phenomenon and severe heat waves have adverse effects on the majority of city residents. Understanding the spatial heterogeneity of UHI in order to design effective mitigation measures is an extremely complex and dynamic research problem that can help protect the most vulnerable residents from the effects of heat.Â
This project aims to employ Earth Observations, socioeconomic data, and Machine Learning models to pinpoint variations in UHI across different areas and evaluate the effectiveness of cooling initiatives like urban parks and wetlands, proposing tailored solutions for specific locations.