Application of remote sensing and energy simulation to analyze the thermal performance of green roofs

Abstract

In the context of rapid urbanization and increasing climate change, developing green solutions to mitigate the urban heat island effect has become urgent. Green roofs have emerged as a sustainable approach that improves microclimate conditions and enhances building energy performance. This study applies a combined approach of remote sensing and energy simulation to evaluate the thermal performance of green roofs in the central area of Ho Chi Minh City. Satellite imagery was processed to identify and classify green roofs, while an energy simulation model was established to analyze their impact on surface temperature and cooling demand. The results indicate that green roofs can reduce average surface temperature by 0.45 – 1.05 °C and save 0.55 – 1.66 kWh/m²/year of cooling energy, depending on roof type and vegetation density. The findings provide both scientific evidence and practical implications for the planning, design, and implementation of green roof solutions in Vietnamese urban areas.