Retrieval of Land Surface Temperature With Topographic Effect Correction From Landsat 8 Thermal Infrared Data in Mountainous Areas

doi:10.1109/TGRS.2020.3030900

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	Retrieval of Land Surface Temperature With Topographic Effect Correction From Landsat 8 Thermal Infrared Data in Mountainous Areas
	Zhu, Xiaolin 3; Duan, Si-Bo 3; Li, Zhao-Liang 1,3; Zhao, Wei 2; Wu, Hua 1; Leng, Pei 3; Gao, Maofang 3; Zhou, Xiaoming 4
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2021-08
卷号	59 期号:8 页码:6674-6687
关键词	Land surface temperature (LST) Landsat 8 mountainous areas topographic effect
ISSN号	0196-2892
DOI	10.1109/TGRS.2020.3030900
英文摘要	Accurate estimation of land surface temperature (LST) is crucial for ecological environment monitoring and climate change studies in mountainous areas. The current LST retrieval algorithms were developed without accounting for the topographic effect, which can only be used to retrieve LST over relatively flat surfaces. Due to the impact of 3-D structure of mountainous surfaces, rugged terrain makes the processes of thermal radiation more complex. In this study, a radiative transfer equation (RTE)-based single-channel algorithm was proposed to retrieve LST with topographic effect correction from the Landsat 8 thermal infrared (TIR) data in mountainous areas. This algorithm accounts for the changes in the thermal radiation components in the TIR RTE caused by the topographic effect. According to the analysis of simulation data, sky-view factor (SVF), atmospheric water vapor content, surface emissivity of target pixel, and average LST of the surrounding terrain have significant influence on the magnitude of the topographic effect. The differences between the LST retrieved without/with topographic effect correction from the Landsat 8 TIR data are related to SVF. The topographic effect should be taken into account in the LST retrieval algorithm when SVF is smaller than 0.7. The largest LST difference of approximately 1 K occurs in the deep valley. The results indicate that LST without topographic effect correction could be overestimated to be as high as 1 K. Due to a lack of in situ LST measurements, the performance of the LST retrieval algorithm in mountainous areas was only evaluated by comparing the brightness temperature (BT) at the top of the atmosphere (TOA) simulated by the DART+MODTRAN model and the TIR RTE over mountainous surfaces at three subregions. There is a good consistency between BT at the TOA simulated by the DART+MODTRAN model and the TIR RTE over mountainous surfaces at the three subregions, with a root mean -squared error (RMSE) of less than 0.23 K.
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000675402300037
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148531]
专题	土木工程学院
作者单位	1.Chinese Acad Agr Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100081, Peoples R China; 2.Chinese Acad Sci, Inst Mt Hazards & Environ, Chengdu 610041, Peoples R China; 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr & Rural Affairs, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China; 4.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Xiaolin,Duan, Si-Bo,Li, Zhao-Liang,et al. Retrieval of Land Surface Temperature With Topographic Effect Correction From Landsat 8 Thermal Infrared Data in Mountainous Areas[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021,59(8):6674-6687.
APA	Zhu, Xiaolin.,Duan, Si-Bo.,Li, Zhao-Liang.,Zhao, Wei.,Wu, Hua.,...&Zhou, Xiaoming.(2021).Retrieval of Land Surface Temperature With Topographic Effect Correction From Landsat 8 Thermal Infrared Data in Mountainous Areas.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(8),6674-6687.
MLA	Zhu, Xiaolin,et al."Retrieval of Land Surface Temperature With Topographic Effect Correction From Landsat 8 Thermal Infrared Data in Mountainous Areas".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.8(2021):6674-6687.