This study investigated the seasonal variations of daytime urban thermal environment (UTE) based on land surface temperature (LST) in Shenzhen of 2015. The spatial and temporal adaptive reflectance fusion model (STARFM) was used for retrieving seasonal daytime LST at high spatiotemporal resolution by combining MODIS and HJ-1B LST data. Next, the relationship between the land cover and daytime in each season was examined. Finally, daytime LST patterns were classified, and the effects of seasonal variations of high-grade daytime LSTs were analyzed with landscape metrics. The results showed that (1) the STARFM is capable of generating seasonal daytime LST data at high spatiotemporal resolution. (2) Daytime LSTs were generally higher in the western parts of Shenzhen in spring and summer. (3) Daytime LST in each land cover type showed an increasing trend form winter to summer and decreased from summer to autumn. The highest and lowest daytime LSTs in each season were observed in ISAs and water bodies. (4) Landscape metrics provided a quantitative method for describing seasonal variations in daytime LSTs, and it was found that seasons influenced the intensity and extent of daytime LSTs in Shenzhen. These findings may be helpful for urban planners developing regional urban strategies to improve daytime urban thermal comfort conditions.

中文翻译：

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基于时空融合模型的热带沿海城市白天白天城市热环境动态分析

本研究基于2015年深圳的地表温度（LST），研究了白天城市热环境（UTE）的季节性变化。采用时空自适应反射融合模型（STARFM），通过高时空分辨率检索了季节性白天LST。结合MODIS和HJ-1B LST数据。接下来，检查每个季节的土地覆盖与白天之间的关系。最后，对白天的LST模式进行了分类，并使用景观指标分析了高级白天LST的季节性变化的影响。结果表明：（1）STARFM能够以高时空分辨率生成季节性的白天LST数据。（2）春季和夏季，深圳西部地区的白天LST通常较高。（3）每种土地覆盖类型的白天LST从冬季到夏季都呈增加趋势，而从夏季到秋季则呈下降趋势。在ISA和水体中，每个季节的白天LST最高和最低。（4）景观指标提供了描述白天LSTs季节变化的定量方法，并且发现季节影响了深圳白天LSTs的强度和程度。这些发现可能对城市规划者制定区域城市策略以改善白天的城市热舒适条件很有帮助。结果发现，季节影响了深圳白天LST的强度和程度。这些发现可能对城市规划者制定区域城市策略以改善白天的城市热舒适条件很有帮助。结果发现，季节影响了深圳白天LST的强度和程度。这些发现可能对城市规划者制定区域城市策略以改善白天的城市热舒适条件很有帮助。