干旱区生态环境知识资源中心(Arid): Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition

Arid

DOI	10.1117/1.JRS.13.034504
	Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition
	Wang, Runke 1,2; Wang, Jian 1; Zhu, Gaofeng 3; Li, Hongyi 1; Shao, Donghang 4; Hao, Xiaohua 1
通讯作者	Wang, Jian
来源期刊	JOURNAL OF APPLIED REMOTE SENSING
ISSN	1931-3195
出版年	2019
卷号	13 期号:3
英文摘要	Latent heat flux is the main indicator of regional water-heat balance and plays an important role in drought monitoring and water resource management. Here, we attempt to estimate latent heat flux using a two-source energy balance model (TSEB). The decomposition algorithm of soil surface temperature and vegetation canopy temperature is discussed, and it is a key factor for calculating the latent heat flux in the TSEB model. Temperature decomposition was conducted using two methods: one is based on a simple linear relationship between the canopy temperature and directional radiation temperature and the other is based on soil latent heat flux expressed by the Priestley-Taylor formula. Then, the soil temperature was estimated using the soil latent heat flux. The estimation of the surface heat flux was based on the soil and vegetation canopy temperatures. The results show that the Priestley-Taylor formula method provided more accurate estimates of the latent heat flux than the linear relation method, and the reliability and precision were improved. The root-mean-squares error of the former method decreased by 38.8% compared with the latter method. The TSEB model was used to estimate the surface heat flux, and it was feasible for monitoring drought in typical drought-prone regions. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
英文关键词	remote sensing surface energy balance component temperatures latent heat flux
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000476918700003
WOS关键词	PRIESTLEY-TAYLOR APPROACH ; EDDY-COVARIANCE ; MEDITERRANEAN DRYLANDS ; PENMAN-MONTEITH ; EVAPOTRANSPIRATION ; EVAPORATION ; VEGETATION ; SOIL ; ALGORITHM ; ATMOSPHERE
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216698
作者单位	1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou, Gansu, Peoples R China; 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.Lanzhou Univ, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou, Gansu, Peoples R China; 4.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Wang, Runke,Wang, Jian,Zhu, Gaofeng,et al. Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition[J]. 兰州大学,2019,13(3).
APA	Wang, Runke,Wang, Jian,Zhu, Gaofeng,Li, Hongyi,Shao, Donghang,&Hao, Xiaohua.(2019).Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition.JOURNAL OF APPLIED REMOTE SENSING,13(3).
MLA	Wang, Runke,et al."Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition".JOURNAL OF APPLIED REMOTE SENSING 13.3(2019).