Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data
文献类型：期刊论文
| 作者 | Si, Menglin1,2,4; Li, Zhao-Liang3,4; Nerry, Francoise4; Tang, Bo-Hui1,2,5; Leng, Pei3; Wu, Hua1,2; Zhang, Xia6; Shang, Guofei6 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 183页码:321-335 |
| ISSN号 | 0924-2716 |
| 关键词 | Global surface urban heat island Long-term trend MODIS Google Earth Engine |
| DOI | 10.1016/j.isprsjprs.2021.11.017 |
| 通讯作者 | Li, Zhao-Liang(lizhaoliang@caas.cn) |
| 英文摘要 | In this study, the global surface urban heat island (SUHI) for 1711 cities during 2003-2019 was quantified by the dynamic urban-extent (DUE) scheme with the land surface temperature datasets from Moderate Resolution Imaging Spectroradiometer Terra and Aqua through the Google Earth Engine platform. The global pattern and regional contrasts of SUHI intensity (SUHII), and the interannual changing rate of SUHII (dSUHII) were revealed at the annual, summer, and winter scales. Further, the associated driving factors for long-term SUHII were explored from a temporal perspective. The main findings are as follows: (1) Globally, the global mean SUHII over 2003-2019 for annual daytime (1.32 degrees C) and annual nighttime (1.09 degrees C) by DUE are generally higher than that by previous simplified urban-extent (SUE) scheme. Accordingly, the summer daytime and nighttime SUHIIs are 1.98 degrees C, 1.05 degrees C, while the winter daytime and nighttime SUHIIs are 0.76 degrees C, and 1.10 degrees C. (2) The annual, summer, and winter dSUHIIs are 0.11 degrees C/decade, 0.27 degrees C/decade, and -0.06 degrees C/decade, respectively, at daytime, and 0.07 degrees C/decade, 0.09 degrees C/decade, and 0.10 degrees C/decade, respectively, at nighttime. (3) The global SUHII and dSUHII demonstrates evident regional contrast. The warm temperate and snow zones show distinct seasonal variations from summer to winter for daytime SUHII. Specifically, the negative daytime SUHII is detected for the arid zone, which exhibits the highest day-night variation and shows decreasing trend. (4) The global SUHII and dSUHII indicate distinct latitudinal variations, and an additional flip-flop (daytime SUHII < nighttime SUHII) region is detected between 10 degrees S and 20 degrees S. (5) The long-term daytime SUHII are negatively regulated by the urban-rural difference on evaporative cooling of vegetation; while at nighttime, it is negatively affected by the urban-rural difference on surface thermophysical properties. It implies the urban greening and surface properties should be specifically concerned to increase the evaporation cooling and reduce the heat retention in SUHII mitigation. |
| WOS关键词 | LAND-COVER ; UNITED-STATES ; TEMPERATURE ; CLIMATE ; INDIANAPOLIS ; VARIABILITY ; MITIGATION ; RESOLUTION |
| 资助项目 | National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[42071326] ; National Natural Science Foundation of China[42001300] ; China Scholarship Council ; ICube, France |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000782583200001 |
| 资助机构 | National Natural Science Foundation of China ; China Scholarship Council ; ICube, France |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/175984]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Zhao-Liang |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China 4.Univ Strasbourg, ICube Lab, CNRS, UMR 7357, 300 Bd Sebastien Brant,CS 10413, F-67412 Illkirch Graffenstaden, France 5.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China 6.Hebei GEO Univ, Sch Land Resources & Urban Rural Planning, Shijiazhuang 050031, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Si, Menglin,Li, Zhao-Liang,Nerry, Francoise,et al. Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2022,183:321-335. |
| APA | Si, Menglin.,Li, Zhao-Liang.,Nerry, Francoise.,Tang, Bo-Hui.,Leng, Pei.,...&Shang, Guofei.(2022).Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,183,321-335. |
| MLA | Si, Menglin,et al."Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 183(2022):321-335. |
入库方式： OAI收割
来源：地理科学与资源研究所
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