Temperature and emissivity retrieval from low-emissivity materials using hyperspectral thermal infrared data

doi:10.1080/01431161.2018.1524607

	Temperature and emissivity retrieval from low-emissivity materials using hyperspectral thermal infrared data
	Chen, Mengshuo 1; Jiang, Xiaoguang 1,2; Wu, Hua 1,3; Qian, Yonggang 2; Wang, Ning 2
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40 期号:5-6 页码:1655-1671
ISSN号	0143-1161
DOI	10.1080/01431161.2018.1524607
通讯作者	Jiang, Xiaoguang(xgjiang@ucas.ac.cn) ; Wu, Hua(wuh@lreis.ac.cn)
英文摘要	Land surface temperature and emissivity separation (TES) is a key problem in thermal infrared remote sensing. Many TES algorithms have been proposed and validated on natural surface materials such as water or vegetation. However, when those algorithms are applied to low-emissivity materials such as some metals, the retrieval accuracy needs significant improvement. Here, we propose a new temperature and emissivity retrieval algorithm for hyperspectral thermal infrared data based on bias characteristic of atmospheric downward radiance. This approach is aimed at weakening the large influence of errors in atmospheric downward radiance on the TES of low-emissivity materials due to stronger coupling between the surface and atmosphere. Compared with traditional approaches such as the iterative spectrally smooth temperature and emissivity separation (ISSTES) method, the proposed method improves retrieval accuracy for low-emissivity materials by about 0.3, 0.4, and 1K for three low-emissivity test materials (galvanized steel metal, metallic silver paint, and gold paint sandpaper). Thus, the proposed algorithm can weaken the influence of atmospheric downward radiance error. In addition, the computation efficiency is higher than ISSTES because fewer groups of channels are involved in the calculation.
资助项目	National Key Research and Development Program of China[2016YFB0500402] ; National Key Research and Development Program of China[2016YFB0500602] ; National Natural Science Foundation of China[41471297] ; National Natural Science Foundation of China[41571352]
WOS关键词	LAND-SURFACE TEMPERATURE ; ALGORITHM ; EVAPORATION ; SEPARATION
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000464043900004
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48237]
专题	中国科学院地理科学与资源研究所
通讯作者	Jiang, Xiaoguang; Wu, Hua
作者单位	1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Mengshuo,Jiang, Xiaoguang,Wu, Hua,et al. Temperature and emissivity retrieval from low-emissivity materials using hyperspectral thermal infrared data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1655-1671.
APA	Chen, Mengshuo,Jiang, Xiaoguang,Wu, Hua,Qian, Yonggang,&Wang, Ning.(2019).Temperature and emissivity retrieval from low-emissivity materials using hyperspectral thermal infrared data.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1655-1671.
MLA	Chen, Mengshuo,et al."Temperature and emissivity retrieval from low-emissivity materials using hyperspectral thermal infrared data".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1655-1671.