This study aims to assess the relationship between land surface temperature
(LST) and air temperature (Tair) and thermal comfort analysis in Can Tho City. LST is
derived from the Landsat thermal band, while Tair is measured using 15 monitoring
stations. A Temperature Humidity Index (THI) is employed as a preferred metric for
analyzing the thermal comfort level, calculated based on a combination of Tair and relative
humidity (RH). Besides quantitative data collection, the study also survey residents in
high heat risk areas to acquire insights into their current experiences and perceptions heat.
The results reveal that individuals in high SUHI areas experience discomfort across
varying temperature ranges, influenced by particular working conditions and personal
characteristics. Moreover, the findings highlight a significant correlation between LST
and Tair, reaching a coefficient of 0.73, indicating the applicability of land surface
temperature in large-scale temperature calculations. These results underscore the need for
further research on the extent of heat-related health effects and the development of
strategies for heat stress mitigation. Understanding of thermal comfort and the impacts of
SUHI is crucial for addressing climate and societal challenges and enhance the well-being
of urban populations