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Estimation of the Land Surface Temperature over the Tibetan Plateau by Using Chinese FY-2C Geostationary Satellite Data
Hu, YY (Hu, Yuanyuan)1; Zhong, L (Zhong, Lei)1; Ma, YM (Ma, Yaoming)2,3,4; Zou, MJ (Zou, Mijun)1; Xu, KP (Xu, Kepiao)1; Huang, ZY (Huang, Ziyu)1; Feng, L (Feng, Lu)5
Source PublicationSENSORS
2018-02-01
Volume18Issue:2Pages:文献号 376
DOI10.3390/s18020376
Abstract

During the process of land-atmosphere interaction, one of the essential parameters is the land surface temperature (LST). The LST has high temporal variability, especially in its diurnal cycle, which cannot be acquired by polar-orbiting satellites. Therefore, it is of great practical significance to retrieve LST data using geostationary satellites. According to the data of FengYun 2C (FY-2C) satellite and the measurements from the Enhanced Observing Period (CEOP) of the Asia-Australia Monsoon Project (CAMP) on the Tibetan Plateau (CAMP/Tibet), a regression approach was utilized in this research to optimize the split window algorithm (SWA). The thermal infrared data obtained by the Chinese geostationary satellite FY-2C over the Tibetan Plateau (TP) was used to estimate the hourly LST time series. To decrease the effects of cloud, the 10-day composite hourly LST data were obtained through the approach of maximal value composite (MVC). The derived LST was used to compare with the product of MODIS LST and was also validated by the field observation. The results show that the LST retrieved through the optimized SWA and in situ data has a better consistency (with correlation coefficient (R), mean absolute error (MAE), mean bias (MB), and root mean square error (RMSE) values of 0.987, 1.91 K, 0.83 K and 2.26 K, respectively) than that derived from Becker and Li's SWA and MODIS LST product, which means that the modified SWA can be applied to achieve plateau-scale LST. The diurnal variation of the LST and the hourly time series of the LST over the Tibetan Plateau were also obtained. The diurnal range of LST was found to be clearly affected by the influence of the thawing and freezing process of soil and the summer monsoon evolution. The comparison between the seasonal and diurnal variations of LST at four typical underlying surfaces over the TP indicate that the variation of LST is closely connected with the underlying surface types as well. The diurnal variation of LST is the smallest at the water (5.12 K), second at the snow and ice (5.45 K), third at the grasslands (19.82 K) and largest at the barren or sparsely vegetated (22.83 K).

Subject Area地理学
WOS IDWOS:000427544000059
Language英语
Indexed BySCIE
KeywordSplit-window Algorithm Filter Physical Retrieval Urban Heat-island Energy Fluxes Modis Data Summer Monsoon Water-vapor Avhrr Data Emissivity Validation
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
Cooperation Status国内
ISSN1424-8220
Department环境变化与地表过程重点实验室
PublisherMDPI
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8727
Collection图书馆
Corresponding AuthorZhong, L (Zhong, Lei)
Affiliation1.Univ Sci & Technol China, Sch Earth & Space Sci, Lab Atmospher Observat & Climate Environm Res, Hefei 230026, Anhui, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China;
3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
5.China Meteorol Adm, Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China.
Recommended Citation
GB/T 7714
Hu, YY ,Zhong, L ,Ma, YM ,et al. Estimation of the Land Surface Temperature over the Tibetan Plateau by Using Chinese FY-2C Geostationary Satellite Data[J]. SENSORS,2018,18(2):文献号 376.
APA Hu, YY .,Zhong, L .,Ma, YM .,Zou, MJ .,Xu, KP .,...&Feng, L .(2018).Estimation of the Land Surface Temperature over the Tibetan Plateau by Using Chinese FY-2C Geostationary Satellite Data.SENSORS,18(2),文献号 376.
MLA Hu, YY ,et al."Estimation of the Land Surface Temperature over the Tibetan Plateau by Using Chinese FY-2C Geostationary Satellite Data".SENSORS 18.2(2018):文献号 376.
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