One of the major issues in postulating climate mitigation plans in cities is the lack of reliable quantitative climate data regarding city landscapes for climate models. Therefore, performing a climate-based classification of city landscapes is crucial for developing climate-sensitive urban planning strategies. This study aims to analyse the diurnal and nocturnal thermal characteristics of different local climate zones (LCZs) in Addis Ababa. A variety of cloud-free satellite images of Addis Ababa were utilized for mapping LCZs and land surface temperatures (LSTs), including daytime Sentinel Multispectral Imagery (Sentinel 2A), Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), and nighttime Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). To perform climate-based classifications of urban and rural areas, we used the World Urban Database and Portal Tool (WUDAPT). The daytime and nighttime LST maps were derived from Landsat-8 and ASTER data to calculate surface urban heat island intensity (SUHII). Then, by developing the statistical relationship between LCZs and LSTs, we quantified the SUHII and explored the thermal characteristics of LCZs. The results showed that the differences in the dry seasonal average daytime and nighttime LST among LCZs are confirmed to be statistically significant. We also found the highest daytime SUHII in heavy industry (7.78 °C), followed by open high-rise (7.44 °C), and then compact low-rise open high-rise (6.51 °C), which indicates these LCZs have warm thermal characteristics. During the night, the LCZ 2 (compact mid-rise) had the highest SUHII. By contrast, LCZ A (dense trees) and LCZ G (water) were found to be the coolest zones during the day. The overall results acquired from this study can provide advanced insight about the thermal characteristics of different LCZs as well as suggest planning strategies for lessening local warming effects.

制定城市气候缓解计划的主要问题之一是缺乏有关气候模型的城市景观的可靠定量气候数据。因此，对城市景观进行基于气候的分类对于制定气候敏感的城市规划策略至关重要。本研究旨在分析亚的斯亚贝巴不同当地气候区（LCZ）的昼夜热特征。亚的斯亚贝巴的各种无云卫星图像用于绘制 LCZ 和地表温度 (LST)，包括白天哨兵多光谱图像 (Sentinel 2A)、Landsat-8 操作陆地成像仪 (OLI) 和热红外传感器 (TIRS) ，以及夜间高级星载热发射和反射辐射计 (ASTER)。为了对城市和农村地区进行基于气候的分类，我们使用了世界城市数据库和门户工具（WUDAPT）。白天和夜间 LST 地图源自 Landsat-8 和 ASTER 数据，用于计算地表城市热岛强度 (SUHII)。然后，通过建立 LCZ 和 LST 之间的统计关系，我们量化了 SUHII 并探索了 LCZ 的热特性。结果表明，LCZ之间旱季平均白天和夜间LST的差异具有统计显着性。我们还发现重工业白天SUHII最高（7.78℃），其次是开放式高层建筑（7.44℃），然后是紧凑型低层开放式高层建筑（6.51℃），这表明这些LCZ具有温暖的特性。热特性。夜间，LCZ 2（紧凑型中层建筑）的 SUHII 最高。相比之下，LCZ A（茂密的树木）和 LCZ G（水）被发现是白天最冷的区域。这项研究获得的总体结果可以提供有关不同低碳区热特性的深入见解，并提出减轻局部变暖影响的规划策略。