KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
| A remote sensing method for retrieving land surface emissivity and temperature in cloudy areas: a case study over South China | |
Zhou, Fang-Cheng1,2; Li, Zhao-Liang3 ; Wu, Hua1,2; Duan, Si-Bo3; Song, Xiaoning2; Yan, Guangjian4
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| 2019 | |
| Source Publication | INTERNATIONAL JOURNAL OF REMOTE SENSING
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| ISSN | 0143-1161 |
| Volume | 40Issue:5-6Pages:1724-1735 |
| Corresponding Author | Wu, Hua(wuhua@igsnrr.ac.cn) |
| Abstract | Land surface temperature (LST) is an important parameter at the surface-atmosphere interface, and measurements of the LST at continuous temporal and spatial scales are necessary in many research fields. Passive microwave radiation can penetrate clouds and detect land surface information under clouds; consequently, passive microwave remote sensing has the potential to obtain LST under almost all weather conditions. In this study, the relationships between the brightness temperature polarization ratio (PR) and horizontally polarized emissivities, and between the horizontally and vertically polarized emissivities are combined to develop a three-stage LST retrieval algorithm from 19 GHz microwave brightness temperature observations in cloudy areas. During the first two stages, the horizontally and vertically polarized emissivities are solely obtained from the brightness temperature data. In the last stage, the LST is calculated with the known emissivity data by ignoring the atmospheric effect. In the validation of South China, the root-mean-square errors (RMSEs) of the estimated horizontally and vertically polarized emissivities at 19 GHz are 0.0078 and 0.0023, respectively. The retrieved LST is compared to single-point measurements of the meteorological stations, and the RMSE is 4.1200K. The LST errors are mainly due to the propagation of estimated land surface emissivity (LSE) errors, and the poor representativeness of the validated data in mixed pixels. The superiority of this LST retrieval algorithm lies in simultaneously obtaining the LST and both polarized LSE under almost all weather conditions with little input data. |
| DOI | 10.1080/01431161.2018.1519288 |
| WOS Keyword | PASSIVE MICROWAVE ; AMSR-E ; SSM/I ; VALIDATION ; PRODUCTS |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302] ; National Natural Science Foundation of China[41471297] ; National Natural Science Foundation of China[41531174] ; National Natural Science Foundation of China[41571352] |
| Funding Organization | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| WOS Research Area | Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000464043900008 |
| Publisher | TAYLOR & FRANCIS LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.igsnrr.ac.cn/handle/311030/48286 |
| Collection | 中国科学院地理科学与资源研究所 |
| Corresponding Author | Wu, Hua |
| Affiliation | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr, Inst Agr Resources & Reg Planning, Beijing, Peoples R China 4.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Sch Geog, Beijing, Peoples R China |
| Recommended Citation GB/T 7714 | Zhou, Fang-Cheng,Li, Zhao-Liang,Wu, Hua,et al. A remote sensing method for retrieving land surface emissivity and temperature in cloudy areas: a case study over South China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1724-1735. |
| APA | Zhou, Fang-Cheng,Li, Zhao-Liang,Wu, Hua,Duan, Si-Bo,Song, Xiaoning,&Yan, Guangjian.(2019).A remote sensing method for retrieving land surface emissivity and temperature in cloudy areas: a case study over South China.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1724-1735. |
| MLA | Zhou, Fang-Cheng,et al."A remote sensing method for retrieving land surface emissivity and temperature in cloudy areas: a case study over South China".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1724-1735. |
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