Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data

doi:10.1109/JSTARS.2019.2959794

	Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data
	Qian, Yonggang 1; Wang, Ning 1; Li, Kun 1; Wu, Hua 3; Duan, Sibo 2; Liu, Yaokai 1; Ma, Lingling 1; Gao, Caixia 1; Qiu, Shi 1; Tang, Lingli 1
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2020
卷号	13 页码:284-292
关键词	Land surface temperature (LST) emissivity time series thermal infrared data
ISSN号	1939-1404
DOI	10.1109/JSTARS.2019.2959794
通讯作者	Li, Kun(likun@aoe.ac.cn) ; Liu, Yaokai(liuyk@aoe.ac.cn)
英文摘要	This article addressed the simultaneous retrieval of land surface temperature (LST) and emissivity (LST&E) from the time-series thermal infrared data. On the basis of the assumption that the time-series LSTs can be described by a piecewise linear function, a new method has been proposed to simultaneously retrieve LST&E from atmospherically corrected time-series thermal infrared data using LST linear constraint. A detailed analysis has been performed against various errors, including error introduced by the method assumption, instrument noise, initial emissivity, atmospheric downwelling radiance error, etc. The proposed method from the simulated data is more immune to noise than the existing methods. Even with a noise equivalent delta temperature of 0.5 K, the root-mean-square error of LST is observed to be only 0.13 K, and that of the land surface emissivity (LSE) is 1.8E-3. In addition, our proposed method is simple and efficient and does not encounter the problem of singular values unlike the existing methods. To validate the proposed method, a field experiment from June to September 2017 was conducted for sand target in Baotou site, China. The results show that the samples have an accuracy of LST within 0.87 K and that the mean values of LSE are accurate to 0.01.
资助项目	National Key Research and Development Program of China[2016YFB0500400] ; National Natural Science Foundation of China[41871221] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA13030402] ; Youth Innovation Promotion Association CAS
WOS关键词	ALGORITHM ; SEPARATION
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000526639900023
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/134095]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Kun; Liu, Yaokai
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr, Beijing 100081, Peoples R China 3.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	Qian, Yonggang,Wang, Ning,Li, Kun,et al. Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2020,13:284-292.
APA	Qian, Yonggang.,Wang, Ning.,Li, Kun.,Wu, Hua.,Duan, Sibo.,...&Li, Chuanrong.(2020).Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,13,284-292.
MLA	Qian, Yonggang,et al."Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 13(2020):284-292.