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首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Impacts of Large-Area Impervious Surfaces on Regional Land Surface Temperature in the Great Pearl River Delta, China
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Impacts of Large-Area Impervious Surfaces on Regional Land Surface Temperature in the Great Pearl River Delta, China

机译：大面积渗透面对中国大珠江三角洲区域陆地温度的影响

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Rapid urbanization has led to an increase in urban land surface temperature (LST). In contrast to individual cities or megacity scale, urban agglomeration can increase LST in a continuous area due to decreasing or disappearing distance between cities. Thus, the impact of ISA on LST needs further understanding in the large scale of urban agglomerations. This study investigated the impacts of impervious surface area (ISA) on LST in urban agglomeration region. The distribution of ISA and LST of the Greater Pearl River Delta in 2015 was extracted using the Landsat 8 OLI and Aqua MODIS images. Next, the standard deviational ellipse methods were used to systematically analyze the spatial correlation of ISA and LST. Subsequently, the influences of ISA density and landscape pattern of ISA on LST were analyzed by various methods. The results showed that when the ISA density increased 10%, the daytime LST increased 0.46 degrees C at the density level lower than 70% and 0.55 degrees C at the density level higher than 70%, respectively. Likewise, when the ISA density increased 10%, the nighttime LST increased 0.285 degrees C at the density level lower than 70% and 0.39 degrees C at the density level higher than 70%, respectively. In addition, the results of correlation analysis indicated that landscape metrics of ISA and the density of ISA had significant correlation with the LST. However, the correlation was higher at daytime than at nighttime, due to the large terrain, complex environment and diverse surface cover types in the study area.
机译：快速城市化导致城市陆地表面温度增加（LST）。与个别城市或巨型量表相比，由于城市之间的距离下降或消失，城市集聚可以在连续面积中增加LST。因此，ISA对LST的影响需要进一步了解大规模的城市集群。本研究调查了城市集聚区LST对不透水表面积（ISA）的影响。利用Landsat 8 Oli和Aqua Modis图像提取了2015年大珠江三角洲ISA和LST的分布。接下来，使用标准偏差椭圆方法来系统地分析ISA和LST的空间相关性。随后，通过各种方法分析了ISA ISA密度和ISA景观模式的影响。结果表明，当ISA密度增加10％时，白天LST分别在高于70％的密度水平低于70％的密度水平下增加0.46摄氏度。同样，当ISA密度增加10％时，夜间LST分别在高于70％的密度水平下增加0.285摄氏度，分别高于70％。此外，相关分析结果表明ISA的景观度量和ISA的密度与LST具有显着的相关性。然而，由于大型地形，复杂的环境和研究区域的不同表面覆盖类型，相关性在白天的相关性更高。

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