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Estimation of Land Surface Temperature Using FengYun-2E (FY-2E) Data: A Case Study of the Source Area of the Yellow River

文献类型：期刊论文

作者Song, Xiaoning1; Wang, Yawei2; Tang, Bohui3; Leng, Pei4; Chuan, Sun1; Peng, Jian2; Loew, Alexander2
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2017-08-01
卷号10期号:8页码:3744-3751
关键词FengYun-2E (FY-2E) land surface temperature (LST) moderate-resolution imaging spectroradiometer (MODIS) split-window algorithm
ISSN号1939-1404
DOI10.1109/JSTARS.2017.2682961
通讯作者Wang, Yawei(yawei.wang1@gmail.com)
英文摘要Land surface temperature (LST) is a key variable used for studies of water cycles and energy budgets of land-atmosphere interfaces. This study addresses the theory of LST retrieval from data acquired by the Chinese operational geostationary meteorological satellite FengYun-2E (FY-2E) in two thermal infrared channels (IR1: 10.29-11.45 mu m and IR2: 11.59-12.79 mu m) using a generalized split-window algorithm. Specifically, land surface emissivity (LSE) in the two thermal infrared channels is estimated from the LSE in channels 31 and 32 of the moderate-resolution imaging spectroradiometer (MODIS) product. In addition, an eight-day composition MODIS LSE product (MOD11A2) and the daily MODIS LSE product (MOD11A1) are used in the algorithm to estimate FY-2E emissivities. The results indicate that the LST derived from MOD11A1 is more accurate and, therefore, more appropriate for daily cloud-free LST estimation. Finally, the estimated LST was validated using the MODIS LST product for the heterogeneous source area of the Yellow River. The results show a significant correlation between the two datasets, with a correlation coefficient (R) varying from 0.60 to 0.94 and a root mean square error ranging from 1.89 to 3.71 K. Moreover, the estimated LST agrees well with ground-measured soil temperatures, with an R of 0.98.
WOS关键词SPLIT-WINDOW ALGORITHM ; THERMAL-INFRARED DATA ; URBAN HEAT-ISLAND ; SATELLITE DATA ; SINGLE-CHANNEL ; TOA RADIANCES ; AVHRR DATA ; IN-SITU ; EMISSIVITY ; RETRIEVAL
资助项目National Nature Science Foundation of China[41271379] ; Chinese Academy of Sciences (CAS)[KZZD-EW-13]
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000407706200027
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Nature Science Foundation of China ; Chinese Academy of Sciences (CAS)
源URL[http://ir.igsnrr.ac.cn/handle/311030/61509]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Yawei
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Ludwig Maximilian Univ Munich LMU, Dept Geog, D-80337 Munich, Germany
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100864, Peoples R China
4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Song, Xiaoning,Wang, Yawei,Tang, Bohui,et al. Estimation of Land Surface Temperature Using FengYun-2E (FY-2E) Data: A Case Study of the Source Area of the Yellow River[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2017,10(8):3744-3751.
APA Song, Xiaoning.,Wang, Yawei.,Tang, Bohui.,Leng, Pei.,Chuan, Sun.,...&Loew, Alexander.(2017).Estimation of Land Surface Temperature Using FengYun-2E (FY-2E) Data: A Case Study of the Source Area of the Yellow River.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,10(8),3744-3751.
MLA Song, Xiaoning,et al."Estimation of Land Surface Temperature Using FengYun-2E (FY-2E) Data: A Case Study of the Source Area of the Yellow River".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 10.8(2017):3744-3751.

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来源：地理科学与资源研究所

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