Fusing Multi-Source Sensor-Derived Microclimate Data for Thermal Comfort Mapping of Urban Blocks

Key Points

• The aim is to develop a method for mapping thermal comfort in urban areas using varied microclimate data from multiple sensors.
• Data fusion of various sensor-derived microclimate datasets
• Mapping techniques applied to urban block environments
• Analysis of thermal comfort levels across different urban areas
• Enhanced understanding of microclimate effects on thermal comfort
• Identification of urban blocks with significant discomfort levels
• Development of a more accurate thermal comfort mapping approach