中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
A remote sensing method for retrieving land surface emissivity and temperature in cloudy areas: a case study over South China

文献类型：期刊论文

作者Zhou, Fang-Cheng1,2; Li, Zhao-Liang3; Wu, Hua1,2; Duan, Si-Bo3; Song, Xiaoning2; Yan, Guangjian4
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2019
卷号40期号:5-6页码:1724-1735
ISSN号0143-1161
DOI10.1080/01431161.2018.1519288
通讯作者Wu, Hua(wuhua@igsnrr.ac.cn)
英文摘要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.
WOS关键词PASSIVE MICROWAVE ; AMSR-E ; SSM/I ; VALIDATION ; PRODUCTS
资助项目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]
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000464043900008
出版者TAYLOR & FRANCIS LTD
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/48285]  
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.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
推荐引用方式
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.

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。