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中文摘要：
以福州市为研究区，使用Landsat TM数据，利用基于影像的反演算法（IB算法）、单窗算法（MW算法）和单通道算法（SC算法）对研究区进行地表温度反演，并将这3种算法的反演结果与研究区的亮度温度进行了比较，结果表明：（1）3种算法反演的结果总体趋势比较接近，其中尤以MW算法和IB算法较为接近，研究区整体平均温度二者仅相差约1．0℃；（2）3种算法反演的结果均比亮度温度高，其中IB算法高出约1．9℃，MW算法高出约2．9℃，而SC算法则要高出约5．3℃．
英文摘要：
Landsat TM has a thermal infrared band （band 6, hereinafter referred to as the ＂TM6＂） which can be used to retrieve land surface temperature （LST）. So far, three methods have been proposed to substitute the Radiative Transfer Equation Method for retrieving LST from TM6 data （due to the general unavailability of the in situ atmospheric profile at the satellite pass）. These three methods are： Image-based Method （IBM）, Monowindow Algorithm （MWA） and Single-channel Method （SCM）. A comparison of the LSTs retrieved from these three algorithms over a research area in Fuzhou, Fujian, China, has been made. The research results show that： （1） when compared to each other, the retrieved LSTs from these three algorithms have similar overall temperature distributions, and the IBM and MWA have the smallest difference of the average LST of the whole study area, which is about 1.0 ℃ ; （2） when compared to the corresponding pixel brightness temperature, a higher difference value is obtained. For IBM, it is about 1.9 ℃, for the MWA and SCM, about 2. 9 ℃ and 5.3 ℃, respectively.
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