Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective
文献类型：期刊论文
| 作者 | Liu, Menghang2; Ma, Haitao2; Bai, Yu1,3 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2021 |
| 卷号 | 14页码:12263-12272 |
| 关键词 | Land surface temperature Land surface Surface topography Remote sensing Vegetation mapping Statistics Sociology Beijing direct and indirect effects land surface temperature (LST) spatial durbin model (SDM) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2021.3129842 |
| 通讯作者 | Ma, Haitao(maht@igsnrr.ac.cn) |
| 英文摘要 | Urban thermal condition has seriously affected the quality of residents' daily life and triggered some environmental issues. Understanding spatial patterns of land surface temperature (LST) and its driving mechanism is important for the sustainable development of cities. Taking Beijing as an example, this study employed spatial econometric models to investigate spatial and temporal heterogeneity of LST from 2014 to 2018 based on multisource remote sensing and statistical data. The global autocorrelation Moran's I index showed the existence of significant positive correlations of LST among regions, indicating the regions with high thermal environments are spatially adjacent. The temperature of a region would increase by more than 0.6% for every 1% increase in LST of surrounding areas based on the spatial Durbin model. In terms of spatial interactions of influencing factors, elevation, normalized difference vegetation index, modified normalized difference water index, nighttime light, and fossil energy consumption of neighbors exhibited significantly positive spatial agglomeration effects on local LST, whereas albedo, GDP, and population density of adjacent areas had negative effects on LST in local areas. Particularly, the indirect effects of drivers were greater than their direct effects, indicating urban thermal condition was an interregional issue and joint control measures should be adopted to mitigate the urban heat island effects as a whole. |
| WOS关键词 | HEAT-ISLAND ; URBAN ; REGRESSION ; POLLUTION ; DAYTIME ; ALBEDO ; FORM |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK1005] ; National Natural Science Foundation of China[41590842] ; National Key Research and Development Program of China[2016YFC0503006] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000728924400006 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program ; National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168645]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Haitao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Menghang,Ma, Haitao,Bai, Yu. Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021,14:12263-12272. |
| APA | Liu, Menghang,Ma, Haitao,&Bai, Yu.(2021).Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14,12263-12272. |
| MLA | Liu, Menghang,et al."Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021):12263-12272. |
入库方式： OAI收割
来源：地理科学与资源研究所
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