Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data
文献类型：期刊论文
| 作者 | Zhou, Fang-Cheng2,3; Li, Zhao-Liang4; Wu, Hua1,2,3; Tang, Bo-Hui2,3; Tang, Ronglin2,3; Song, Xiaoning3; Yan, Guangjian5 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2017-12-01 |
| 卷号 | 10期号:12页码:5608-5617 |
| 关键词 | Brightness temperature land surface emissivity precipitable water vapor (PWV) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2017.2763167 |
| 通讯作者 | Wu, Hua(wuhua@igsnrr.ac.cn) |
| 英文摘要 | An algorithm has been developed for retrieving instantaneous K-band microwave land surface emissivity using only brightness temperature and atmospheric precipitable water vapor content (PWV) data. The radiative transfer model is simplified to a new microwave emissivity retrieval model using two assumptions: 1) emissivities at 18.7 and 23.8 GHz with horizontal polarization are approximately equal, and 2) simple parameterizations exist between atmospheric transmittance and PWV and between atmospheric effective radiating temperature and PWV. The new technique does not need infrared land surface temperature as the input data, and it overcomes the limitation of previous algorithms under cloudy conditions. The estimated instantaneous emissivities are validated at single points and in the regional area. The results demonstrate that this simplified algorithm has the best root mean square error of 0.017, a bias of 0.004 in the single-point validation, and an R-2 of 0.66 and a RMSE of 0.021 in the regional validation. This simplified algorithm has the potential to obtain instantaneous microwave land surface emissivity under both cloud-free and cloudy conditions. |
| WOS关键词 | SATELLITE DATA ASSIMILATION ; SOIL-MOISTURE ; AMSR-E ; RADIOMETRIC OBSERVATIONS ; PRINCIPAL COMPONENTS ; RADIATIVE-TRANSFER ; DATA RECORDS ; SEA-ICE ; PART I ; WEATHER |
| 资助项目 | National Natural Science Foundation of China[41331171] ; National Natural Science Foundation of China[41401394] ; National Natural Science Foundation of China[41471297] ; National Natural Science Foundation of China[41231170] ; Innovation Project of LREIS[O88RA801YA] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000418871200024 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Innovation Project of LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/60789]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Hua |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Agr Sci, Minist Agr, Key Lab Agriinformat, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 5.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Fang-Cheng,Li, Zhao-Liang,Wu, Hua,et al. Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2017,10(12):5608-5617. |
| APA | Zhou, Fang-Cheng.,Li, Zhao-Liang.,Wu, Hua.,Tang, Bo-Hui.,Tang, Ronglin.,...&Yan, Guangjian.(2017).Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,10(12),5608-5617. |
| MLA | Zhou, Fang-Cheng,et al."Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 10.12(2017):5608-5617. |
入库方式： OAI收割
来源：地理科学与资源研究所
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