山地城市坡向对地表温度的影响--以重庆市主城区为例

aking Chongqing main city proper, a typical mountain city, as an example, Land Surface Temperatures (LSTs) derived from TM images are extracted in each aspect class using spatial analysis function in ArcGIS software, and are analyzed by the method of Analysis of Variance (ANOVA) in SPSS software. The results show that LSTs in southeast aspect and south aspect are high, on the contrary LSTs in northwest aspect and north aspect are low. The average LST in each aspect class is highly consistent with the land area in the aspect class. The average LST in each aspect class is significant different, if the aspect is divided into 8 classes or 16 classes. However, the average LST in each aspect class is no significant different in a same land cover/use type. The LST change in city is mainly caused by urban construction, and production and living activities differences due to different types of land cover/use, while the influence of aspect on LST is relatively weak comparing with strong environmental effects resulted from high-intensity and large-scale urban construction activities.