Evaluation of Land Surface Temperature Retrieval from FY-3B/VIRR Data in an Arid Area of Northwestern China

	Evaluation of Land Surface Temperature Retrieval from FY-3B/VIRR Data in an Arid Area of Northwestern China
	Jiang, Jinxiong 1; Li, Hua 1; Liu, Qinhuo 1; Wang, Heshun 1; Du, Yongming 1; Cao, Biao 1; Zhong, Bo 1; Wu, Shanlong 1
刊名	REMOTE SENSING
	2015
卷号	7 期号:6
通讯作者	Li, H (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
英文摘要	This paper uses the refined Generalized Split-Window (GSW) algorithm to derive the land surface temperature (LST) from the data acquired by the Visible and Infrared Radiometer on FengYun 3B (FY-3B/VIRR). The coefficients in the GSW algorithm corresponding to a series of overlapping ranges for the mean emissivity, the atmospheric Water Vapor Content (WVC), and the LST are derived using a statistical regression method from the numerical values simulated with an accurate atmospheric radiative transfer model MODTRAN 4 over a wide range of atmospheric and surface conditions. The GSW algorithm is applied to retrieve LST from FY-3B/VIRR data in an arid area in northwestern China. Three emissivity databases are used to evaluate the accuracy of different emissivity databases for LST retrieval, including the ASTER Global Emissivity Database (ASTER_GED) at a 1-km spatial resolution (AG1km), an average of twelve ASTER emissivity data in the 2012 summer and emissivity spectra extracted from spectral libraries. The LSTs retrieved from the three emissivity databases are evaluated with ground-measured LST at four barren surface sites from June 2012 to December 2013 collected during the HiWATER field campaign. The results indicate that using emissivity extracted from ASTER_GED can achieve the highest accuracy with an average bias of 1.26 and -0.04 K and an average root mean square error (RMSE) of 2.69 and 1.38 K for the four sites during daytime and nighttime, respectively. This result indicates that ASTER_GED is a useful emissivity database for generating global LST products from different thermal infrared data and that using FY-3B/VIRR data can produce reliable LST products for other research areas.
研究领域[WOS]	Remote Sensing
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000357589800025
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38185]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Jiang, Jinxiong 2.Li, Hua 3.Liu, Qinhuo 4.Wang, Heshun 5.Du, Yongming 6.Cao, Biao 7.Zhong, Bo 8.Wu, Shanlong] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 9.[Jiang, Jinxiong 10.Li, Hua
推荐引用方式 GB/T 7714	Jiang, Jinxiong,Li, Hua,Liu, Qinhuo,et al. Evaluation of Land Surface Temperature Retrieval from FY-3B/VIRR Data in an Arid Area of Northwestern China[J]. REMOTE SENSING,2015,7(6).
APA	Jiang, Jinxiong.,Li, Hua.,Liu, Qinhuo.,Wang, Heshun.,Du, Yongming.,...&Wu, Shanlong.(2015).Evaluation of Land Surface Temperature Retrieval from FY-3B/VIRR Data in an Arid Area of Northwestern China.REMOTE SENSING,7(6).
MLA	Jiang, Jinxiong,et al."Evaluation of Land Surface Temperature Retrieval from FY-3B/VIRR Data in an Arid Area of Northwestern China".REMOTE SENSING 7.6(2015).