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Spatio-Temporal Analysis of Urban Heat Island Using Multisource Remote Sensing Data: A Case Study in Hangzhou, China

机译:基于多源遥感数据的城市热岛时空分析:以杭州市为例

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摘要

In this paper, the spatio-temporal variations of the urban heat island (UHI) in Hangzhou are analyzed using multisource remote sensing data. The annual human settlement index (HSI) was derived from the annual MODIS NDVI and DMSP-OLS datasets from 2000 through 2013. The spatio-temporal patterns of HSI as well as the longitudinal variations of land surface temperature (LST) versus HSI were analyzed. The surface urban heat island intensity (SUHII) was derived by fitting a linear relationship between LST and HSI and it denotes the UHI effect. The spatial variation of SUHII is consistent with the distribution of HSI. According to the district division of Hangzhou, the SUHII of northeast Hangzhou is higher than that of southwest Hangzhou, and the UHI enhancement in the most developed districts of Hangzhou city, Yuhang and Xiaoshan, is remarkable. These results suggest that Hangzhou has a strong UHI effect and that the UHI has local regional characteristics. The UHI effect enhancement is mainly due to the expansion of the urban area, urban anthropogenic activities, and heat emission of the built-up area. According to the changes in SUHII for the period from 2000 to 2013, the UHI effect is intensifying in Hangzhou and measures for reducing the SUHII needs to be taken. To our knowledge, this is the first time that the spatio-temporal variation of the UHI in Hangzhou has been quantitatively analyzed using long time series of multisource remote sensing data, which can help understand the evolution of UHI and guide urban planning and development.
机译:本文利用多源遥感数据分析了杭州城市热岛(UHI)的时空变化。年度人类住区指数(HSI)来自2000年至2013年的MODIS NDVI和DMSP-OLS年度数据集。分析了HSI的时空格局以及地表温度(LST)与HSI的纵向变化。地表热岛强度(SUHII)是通过拟合LST和HSI之间的线性关系得出的,它表示UHI效应。 SUHII的空间变化与HSI的分布一致。根据杭州的地区划分,杭州东北部的SUHII高于杭州西南部的SUHII,在杭州市最发达的地区余杭和萧山,UHI的提升十分显着。这些结果表明杭州具有很强的UHI效应,UHI具有地方区域特色。 UHI效果增强主要归因于城市面积的扩大,城市人为活动以及建成区的热量散发。根据2000年至2013年期间SUHII的变化,杭州的UHI效应正在增强,需要采取减少SUHII的措施。据我们所知,这是首次使用长期的多源遥感数据序列对杭州城市轨道交通的时空变化进行定量分析,这有助于了解城市轨道交通的演变,并指导城市规划和发展。

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