Thermal remote sensing has become widely used to monitor and study Urban Heat Island (UHI) by the use of satellite Land Surface Temperature (LST) data, and the Local Climate Zone (LCZ) scheme has established itself as the standard for assessing Urban Heat Island Intensity (UHII). A lot of research on LST-LCZ relationship has been done, but mainly in flat terrain. Some studies on UHI in mountainous areas have been conducted, but most of them considered the combined effect of land use/land cover and topography on temperature. To the best of our knowledge no study has been carried out on the LST-LCZ relationship in a complex topography area after removing the topography effect. This paper presents a methodology for assessing the impact of the urban structure on UHII in Beirut, a coastal city with heterogenous urban morphology and complex topography. It was concluded that the main urban variables which contribute to the spatial variability of topographically normalized LST are, in decreasing order of relative importance, the built-up ratio, the pervious surface ratio, the buildings' mean height and mean surface area. The difference in average temperatures between high-rise densely built LCZs and mostly pervious zones exceeded two degrees at nighttime.

通过使用卫星地表温度（LST）数据，热遥感已被广泛用于监视和研究城市热岛（UHI），并且本地气候区（LCZ）方案已将其自身确立为评估城市热岛的标准强度（UHII）。关于LST-LCZ关系的很多研究已经完成，但主要是在平坦的地形上。已经在山区进行了一些有关UHI的研究，但大多数研究都考虑了土地利用/土地覆盖和地形对温度的综合影响。据我们所知，在去除地形影响后，尚未对复杂地形区域中的LST-LCZ关系进行过研究。本文提出了一种评估城市结构对贝鲁特城市居民身份的影响的方法，贝鲁特是一个城市形态多样，地形复杂的沿海城市。结论是，按相对重要性递减的顺序，构成地形归一化LST的空间变异性的主要城市变量是建筑率，透水率，建筑物的平均高度和平均表面积。夜间，高层密集的LCZ与大多数透水区域之间的平均温度差超过2度。