Investigation the Robustness of Standard Classification Methods for Defining Urban Heat Islands
文献类型：期刊论文
| 作者 | Lu, Yingshuang1; He, Tong1; Xu, Xinliang2; Qiao, Zhi1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2021 |
| 卷号 | 14页码:11386-11394 |
| 关键词 | Land surface temperature Temperature distribution Standards Robustness Heating systems MODIS Land surface Moderate resolution imaging spectroradiometer (MODIS) land surface temperature (LST) robustness standard classification method urban heat island (UHI) effect urban thermal grades |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2021.3124558 |
| 通讯作者 | Qiao, Zhi(qiaozhi@tju.edu.cn) |
| 英文摘要 | In the process of studying the spatiotemporal cause mechanism of urban heat island (UHI) effects, the classification method used will directly affect the robustness of urban surface heat classification. Applying five commonly used standard classification methods, we divided Beijing's urban surface temperatures in the summer of 2020 into five levels. We then compared the reliability of the five classification methods in resolving 12-period data and the seasonal average temperature in UHI patches, based on two indicators: UHI area and UHI intensity. The actual land-use composition of the UHI patches obtained with traditional methods was applied to confirm our results. The mean-standard deviation method and natural breaks (Jenks) method were more robust with regard to UHI classification and 12-period data reliability. For the UHI area index, the mean-standard deviation method produced the smallest total area of UHI patches for summer days and nights. For the UHI intensity index, the quantile method, mean-standard deviation method, and natural breaks (Jenks) method were associated with smaller errors. Considering the composition of land-use types in UHI patches, the mean-standard deviation method, and natural breaks (Jenks) method were more rigorous. Thus, our research results provide guidance for method selection when classifying UHI. |
| WOS关键词 | PATTERNS |
| 资助项目 | National Natural Science Foundation of China[41501472] ; National Natural Science Foundation of China[41771178] ; Scientific and Technological Major Project of Tianjin, China[18ZXSZSF00240] ; Major Projects of High-Resolution Earth Observation Systems of National Science and Technology[05-Y30B01-9001-19/20-4] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000720519100008 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Scientific and Technological Major Project of Tianjin, China ; Major Projects of High-Resolution Earth Observation Systems of National Science and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167901]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qiao, Zhi |
| 作者单位 | 1.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, 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 |
| 推荐引用方式 GB/T 7714 | Lu, Yingshuang,He, Tong,Xu, Xinliang,et al. Investigation the Robustness of Standard Classification Methods for Defining Urban Heat Islands[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021,14:11386-11394. |
| APA | Lu, Yingshuang,He, Tong,Xu, Xinliang,&Qiao, Zhi.(2021).Investigation the Robustness of Standard Classification Methods for Defining Urban Heat Islands.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14,11386-11394. |
| MLA | Lu, Yingshuang,et al."Investigation the Robustness of Standard Classification Methods for Defining Urban Heat Islands".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021):11386-11394. |
入库方式： OAI收割
来源：地理科学与资源研究所
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