Assessment of two temporal-information-based methods for estimating evaporative fraction over the Southern Great Plains

	Assessment of two temporal-information-based methods for estimating evaporative fraction over the Southern Great Plains
	Lu, Jing 1; Tang, Ronglin 1; Shao, Kun 1; Li, Zhao-Liang 1; Zhou, Guoqing 1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2015
卷号	36 期号:19-20(SI)页码:913-920
通讯作者	Li, ZL (reprint author), Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China.
英文摘要	Evaporative fraction (EF) is an important index for partitioning surface available energy. Temporal information derived from multi-times observations of remote sensing can reduce the uncertainty of EF estimates caused by the retrieval error of land surface parameters. Two temporal-information-based EF methods were assessed using in situ measurements from the Energy Balance Bowen Ratio system and the outputs from the second phase of the North American Land Data Assimilation System (NLDAS-2) over the Southern Great Plains (SGP). One is a newly developed method for estimating daily EF using a semi-empirical parameterization based on the day-night differences of land surface temperature (LST), air temperature, and incoming solar radiation; the other is the triangular feature space method constructed by the day-night difference of LST and fractional vegetation cover. The results showed that the two methods could reasonably estimate EF over the SGP region in spatial distribution. The EF estimated from the newly developed method was closer to the in situ measurements with a bias of -0.028 and a root mean square error (RMSE) of 0.194, and it was also closer to the outputs of the NLDAS-2 with an RMSE of similar to 0.13 compared with the results from the feature space method. A strong relationship between the results from the two methods was found with a coefficient of determination up to 0.824 and an RMSE of 0.143. The RMSE for the EF estimates caused by different vegetation indexes in the feature space could reach 0.15, and larger bias mainly occurred on surfaces with low evapotranspiration surface.
研究领域[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000364334500010
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38373]
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.[Lu, Jing 2.Tang, Ronglin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.[Lu, Jing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 4.[Shao, Kun] HeFei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China 5.[Li, Zhao-Liang] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China 6.[Li, Zhao-Liang] CNRS, UdS, ICube, F-67400 Illkirch Graffenstaden, France 7.[Zhou, Guoqing] Guilin Univ Technol, Guangxi Key Lab Spatial Informat & Geomat, Guangxi 541004, Peoples R China
推荐引用方式 GB/T 7714	Lu, Jing,Tang, Ronglin,Shao, Kun,et al. Assessment of two temporal-information-based methods for estimating evaporative fraction over the Southern Great Plains[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2015,36(19-20(SI)):913-920.
APA	Lu, Jing,Tang, Ronglin,Shao, Kun,Li, Zhao-Liang,&Zhou, Guoqing.(2015).Assessment of two temporal-information-based methods for estimating evaporative fraction over the Southern Great Plains.INTERNATIONAL JOURNAL OF REMOTE SENSING,36(19-20(SI)),913-920.
MLA	Lu, Jing,et al."Assessment of two temporal-information-based methods for estimating evaporative fraction over the Southern Great Plains".INTERNATIONAL JOURNAL OF REMOTE SENSING 36.19-20(SI)(2015):913-920.