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

文献类型：期刊论文

作者Chen, Mengshuo1; Jiang, Xiaoguang1,2; Wu, Hua1,3; Qian, Yonggang2; Wang, Ning2
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2019
卷号40期号:5-6页码:1655-1671
ISSN号0143-1161
DOI10.1080/01431161.2018.1524607
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.
WOS关键词LAND-SURFACE TEMPERATURE ; ALGORITHM ; EVAPORATION ; SEPARATION
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研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000464043900004
出版者TAYLOR & FRANCIS LTD
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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