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DOI | 10.1016/j.scs.2021.103615 |
Method of calculating land surface temperatures based on the low-altitude UAV thermal infrared remote sensing data and the near-ground meteorological data | |
Wu, Yafei; Shan, Yao; Lai, Yuanming![]() | |
通讯作者 | Shan, Y (通讯作者),Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China. ; Shan, Y (通讯作者),Tongji Univ, Shanghai Key Lab Rail Infrastruct Durabil & Syst, Shanghai 201804, Peoples R China. |
发表日期 | 2022 |
ISSN | 2210-6707 |
EISSN | 2210-6715 |
卷号 | 78 |
英文摘要 | The continuous urbanization has greatly changed the underlying surfaces, which leads to great impacts on the urban thermal environment. The land surface temperatures (LSTs) have gained considerable attention as a typical indicator for studying the urban thermal environment. Accounting for the deficiency of existing calculation methods in calculation principle of LSTs from the low-altitude thermal infrared remote (TIR) sensing data, this study proposes a method to retrieve the LSTs at a block scale with high temporal and spatial resolution for the effective evaluation of micro urban thermal environment. Thus, the thermal infrared radiation transmission equation is rewritten according to the actual thermal infrared transmission process. The final calculation form of LSTs is given, in which the multi-source data is employed. Ultimately, to verify the accuracy of this method in calculating the LSTs, an application case is designed. The results indicate that the temperature differences between the calculated LSTs and the measured LSTs ranges from -1.73 K to 1.45 K, and the absolute accuracy of the method is 0.09 K based on the correctly obtained multi-source data. This method is available for the quantitative analysis of the urban thermal environment and urban heat island effect at a block scale. |
关键词 | URBAN HEAT-ISLANDHIGH-RESOLUTION RADIOMETERAIR-TEMPERATURESPATIOTEMPORAL ANALYSISWATER-STRESSEMISSIVITYRETRIEVALCALIBRATIONALGORITHMMODELS |
英文关键词 | Low-altitude UAV; Thermal infrared remote sensing; Thermal infrared radiation transmission; equation; LSTs; Multi-source data |
语种 | 英语 |
WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
WOS类目 | Construction & Building Technology ; Green & Sustainable Science & Technology ; Energy & Fuels |
WOS记录号 | WOS:000734475700005 |
来源期刊 | SUSTAINABLE CITIES AND SOCIETY
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来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254499 |
作者单位 | [Wu, Yafei; Shan, Yao; Zhou, Shunhua] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China; [Wu, Yafei; Shan, Yao; Zhou, Shunhua] Tongji Univ, Shanghai Key Lab Rail Infrastruct Durabil & Syst, Shanghai 201804, Peoples R China; [Lai, Yuanming] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Yafei,Shan, Yao,Lai, Yuanming,et al. Method of calculating land surface temperatures based on the low-altitude UAV thermal infrared remote sensing data and the near-ground meteorological data[J]. 中国科学院西北生态环境资源研究院,2022,78. |
APA | Wu, Yafei,Shan, Yao,Lai, Yuanming,&Zhou, Shunhua.(2022).Method of calculating land surface temperatures based on the low-altitude UAV thermal infrared remote sensing data and the near-ground meteorological data.SUSTAINABLE CITIES AND SOCIETY,78. |
MLA | Wu, Yafei,et al."Method of calculating land surface temperatures based on the low-altitude UAV thermal infrared remote sensing data and the near-ground meteorological data".SUSTAINABLE CITIES AND SOCIETY 78(2022). |
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