中文摘要：

基于Landsat TM土地覆盖分类数据和MODIS地表温度数据,探讨京津唐城市群不同土地覆盖的地表温度（7日）,并采用常用的普通线性回归（OLS）和地理加权回归（GWR）方法分别拟合土地覆盖比例与地表温度的关系.结果表明：研究区不同土地覆盖类型的地表温度差异明显,人工表面（40.92!3.49℃）和耕地（39.74!3.74℃）的平均温度较高,林地（34.43!4.16℃）和湿地（35.42!4.33℃）的平均温度较低;土地覆盖比例与地表温度显著相关,且两者之间的定量关系存在空间非稳定性,地理位置以及周围环境影响的差异是空间非稳定性产生的主要原因;GWR模型的拟合结果优于OLS模型（R_（GWR）_2〉R_（OLS）~2）,并且GWR模型可以量化土地覆盖比例与地表温度两者关系的空间非稳定性特征.

英文摘要：

We used land cover data derived from Landsat thematic mapper （TM） and land surface temperature （LST） data from moderate-resolution imaging speetro-radiometer （MODIS） satellite images to study the variations in LST in July of different land cover types in Beijing-Tianjin-Tangs- han urban agglomeration. Ordinary linear regressions （OLS） models and geographically weighted re- gressions （GWR） models were used to investigate the relationships between the proportions of land cover types and LST. The results showed that great variations in LST occurred among different land cover types. The average LST ranged from high to low in the order of developed land （40.92 ±3.49 ℃ ）, cultivated land （39.74 ±3.74 ℃ ）, wetland （35.42±4.33 ℃ ）, and forested land （34.43 ±4.16 ℃）. The proportions of land cover types were significantly related to LST, but with spatial non-sta- tionarity. This might be due to inherent difference in land cover across locations, and the surround- ing environments. GWR models had higher R2 values, compared to OLS, indicating better model performance. In addition, GWR models could reveal the spatial non-stationarity of the relations be- tween LST and the proportions of different land cover types.