Mapping local climate zones for cities: A large review
文献类型：期刊论文
| 作者 | Huang, Fan1; Jiang, Sida1; Zhan, Wenfeng1,2,10; Bechtel, Benjamin3; Liu, Zihan1; Demuzere, Matthias3; Huang, Yuan4; Xu, Yong5; Ma, Lei6; Xia, Wanjun7 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2023-07-01 |
| 卷号 | 292页码:29 |
| 关键词 | Local climate zone (LCZ) LCZ mapping Remote sensing (RS) Geographic information system (GIS) Urban climate |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2023.113573 |
| 通讯作者 | Zhan, Wenfeng(zhanwenfeng@nju.edu.cn) |
| 英文摘要 | The local climate zone (LCZ) system provides a universal classification mechanism for urban and natural landscapes and plays an increasingly important role in urban climate research. With the rapid development of various LCZ mapping methods, a thorough survey of the LCZ mapping literature is urgently needed to better understand current progress, challenges, and future directions. Accordingly, this study provided a comprehensive review of the LCZ mapping literature during 2012-2021, with a detailed analysis on literature statistics, research topics, LCZ cities, and active research groups. Furthermore, remote sensing (RS)-based LCZ mapping methods were elucidated from feature sets, classification units, training areas, classification algorithms, and accuracy assessment; geographic information system (GIS)-based LCZ mapping methods were elaborated from LCZ pa-rameters, basic spatial units, classification algorithms, and accuracy assessment; and their combination methods were summarized from two typical integration strategies. Finally, several challenges and future directions for LCZ mapping were discussed. The topics include exploiting multi-source RS and GIS data, determining appro-priate LCZ mapping unit sizes, acquiring high-quality LCZ ground truth data, improving LCZ classification al-gorithms, optimizing LCZ parameters and subclasses, exploring the transferability of LCZ models, conducting global interannual LCZ mapping, and expanding the application of LCZs. The research community can quickly obtain abundant information on the LCZ mapping literature, understand the frameworks of different LCZ mapping methods, and inspire new directions for future research. |
| WOS关键词 | URBAN HEAT-ISLAND ; LAND-SURFACE TEMPERATURE ; OUTDOOR THERMAL COMFORT ; IMPROVED WUDAPT METHODOLOGY ; CENTRAL-EUROPEAN CITIES ; REMOTE-SENSING DATA ; AIR-TEMPERATURE ; DATA FUSION ; COVER CLASSIFICATION ; SCENE CLASSIFICATION |
| 资助项目 | National Natural Science Foundation of China[42001270] ; National Natural Science Foundation of China[42171306] ; National Youth Talent Support Program of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000984631700001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China ; National Youth Talent Support Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196994]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhan, Wenfeng |
| 作者单位 | 1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 3.Ruhr Univ Bochum, Dept Geog, D-44801 Bochum, Germany 4.Southwest Jiaotong Univ, Sch Architecture & Design, Dept Urban & Rural Planning, Chengdu 610000, Peoples R China 5.Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China 6.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China 7.Southwest Jiaotong Univ, Lib, Chengdu 611756, Peoples R China 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 9.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China 10.Nanjing Univ Xianlin Campus, 163 Xianlin Ave, Nanjing 210023, Jiangsu Provinc, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Fan,Jiang, Sida,Zhan, Wenfeng,et al. Mapping local climate zones for cities: A large review[J]. REMOTE SENSING OF ENVIRONMENT,2023,292:29. |
| APA | Huang, Fan.,Jiang, Sida.,Zhan, Wenfeng.,Bechtel, Benjamin.,Liu, Zihan.,...&Chen, Jike.(2023).Mapping local climate zones for cities: A large review.REMOTE SENSING OF ENVIRONMENT,292,29. |
| MLA | Huang, Fan,et al."Mapping local climate zones for cities: A large review".REMOTE SENSING OF ENVIRONMENT 292(2023):29. |
入库方式： OAI收割
来源：地理科学与资源研究所
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