This paper mainly discusses the urban design factors how to affect the urban heat environment in urban residential area
by remote sensing. The discussed urban design factors include floor area ratio, building height, green area ratio, and
population density. The results indicate that when the green area ratio in residential area becomes 40%, the effect of
weakening UHI is best. Higher than 40%, the effect of reducing the temperature begins to decline. The higher the
residence buildings are, the higher the mean surface temperature of residential districts is. When floor area ratio ranges
from 1.5 to 3, the change of mean surface temperature is abrupt. When floor area ratio is greater than 3, the growth of
mean surface temperature would be slower. Surface temperature and population density have logarithm relationship.
Overall, planners have the opportunity to gain significant insight into the physical manifestations of planning policies
within cities by integrating quantitative analysis of electromagnetic energy measurements collected by remote sensing
systems. Remote sensing would be a useful tool for planners to make scientific decisions.