Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform
文献类型：期刊论文
| 作者 | Zhang, Yu-Ze2; Wu, Hua2,3,4; Jiang, Xiao-Guang2,3,5; Jiang, Ya-Zhen2; Liu, Zhao-Xia1; Nerry, Franoise6 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-05-01 |
| 卷号 | 9期号:5页码:16 |
| 关键词 | temperature and emissivity separation hyperspectral field-measured data wavelet transform |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9050454 |
| 通讯作者 | Wu, Hua(wuhua@igsnrr.ac.cn) ; Jiang, Xiao-Guang(xgjiang@ucas.ac.cn) |
| 英文摘要 | Currently, the main difficulty in separating the land surface temperature (LST) and land surface emissivity (LSE) from field-measured hyperspectral Thermal Infrared (TIR) data lies in solving the radiative transfer equation (RTE). Based on the theory of wavelet transform (WT), this paper proposes a method for accurately and effectively separating LSTs and LSEs from field-measured hyperspectral TIR data. We show that the number of unknowns in the RTE can be reduced by decomposing and reconstructing the LSE spectrum, thus making the RTE solvable. The final results show that the errors introduced by WT are negligible. In addition, the proposed method usually achieves a greater accuracy in a wet-warm atmosphere than that in a dry-cold atmosphere. For the results under instrument noise conditions (NE Delta T = 0.2 K), the overall accuracy of the LST is approximately 0.1-0.3 K, while the Root Mean Square Error (RMSE) of the LSEs is less than 0.01. In contrast to the effects of instrument noise, our method is quite insensitive to noises from atmospheric downwelling radiance, and all the RMSEs of our method are approximately zero for both the LSTs and the LSEs. When we used field-measured data to better evaluate our method's performance, the results showed that the RMSEs of the LSTs and LSEs were approximately 1.1 K and 0.01, respectively. The results from both simulated data and field-measured data demonstrate that our method is promising for decreasing the number of unknowns in the RTE. Furthermore, the proposed method overcomes some known limitations of current algorithms, such as singular values and the loss of continuity in the spectrum of the retrieved LSEs. |
| WOS关键词 | SPLIT-WINDOW ALGORITHM ; ATMOSPHERIC CORRECTION ; SPECTRAL EMISSIVITY ; IMAGES ; SEPARATION ; SENSOR |
| 资助项目 | National Key Basic Research Program of China (973 Program)[2013CB733402] ; National Natural Science Foundation of China[41331171] ; National Natural Science Foundation of China[41571352] ; National Natural Science Foundation of China[41471297] ; Innovation Project of LREIS[O88RA801YA] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000402573700057 |
| 出版者 | MDPI AG |
| 资助机构 | National Key Basic Research Program of China (973 Program) ; National Natural Science Foundation of China ; Innovation Project of LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/63567]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Hua; Jiang, Xiao-Guang |
| 作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, 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 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.Chinese Acad Sci, Acad Optoelect, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China 6.CNRS, ICube, UdS, 300 Bld Sebastien Brant,CS10413, F-67412 Illkirch Graffenstaden, France |
| 推荐引用方式 GB/T 7714 | Zhang, Yu-Ze,Wu, Hua,Jiang, Xiao-Guang,et al. Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform[J]. REMOTE SENSING,2017,9(5):16. |
| APA | Zhang, Yu-Ze,Wu, Hua,Jiang, Xiao-Guang,Jiang, Ya-Zhen,Liu, Zhao-Xia,&Nerry, Franoise.(2017).Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform.REMOTE SENSING,9(5),16. |
| MLA | Zhang, Yu-Ze,et al."Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform".REMOTE SENSING 9.5(2017):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。