干旱区生态环境知识资源中心(Arid): Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model

Arid

DOI	10.3390/rs13081516
	Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model
	Li, Boyang; Cui, Yaokui; Geng, Xiaozhuang; Li, Huan
通讯作者	Cui, YK (corresponding author), Peking Univ, Sch Earth & Space Sci, Inst RS & GIS, Beijing 100871, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:8
英文摘要	Evapotranspiration (ET) of soil-vegetation system is the main process of the water and energy exchange between the atmosphere and the land surface. Spatio-temporal continuous ET is vitally important to agriculture and ecological applications. Surface temperature and vegetation index (Ts-VI) triangle ET model based on remote sensing land surface temperature (LST) is widely used to monitor the land surface ET. However, a large number of missing data caused by the presence of clouds always reduces the availability of the main parameter LST, thus making the remote sensing-based ET estimation unavailable. In this paper, a method to improve the availability of ET estimates from Ts-VI model is proposed. Firstly, continuous LST product of the time series is obtained using a reconstruction algorithm, and then, the reconstructed LST is applied to the estimate ET using the Ts-VI model. The validation in the Heihe River Basin from 2009 to 2011 showed that the availability of ET estimates is improved from 25 days per year (d/yr) to 141 d/yr. Compared with the in situ data, a very good performance of the estimated ET is found with RMSE 1.23 mm/day and R-2 0.6257 at point scale and RMSE 0.32 mm/day and R-2 0.8556 at regional scale. This will improve the understanding of the water and energy exchange between the atmosphere and the land surface, especially under cloudy conditions.
英文关键词	evapotranspiration spatio-temporal continuity land surface temperature Ts-VI ET model robust regression
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000644675500001
WOS关键词	RIVER-BASIN ; SOIL-MOISTURE ; HEAT-FLUX ; SURFACE EVAPOTRANSPIRATION ; DAILY EVAPORATION ; AIR-TEMPERATURE ; ARID REGION ; VEGETATION ; COVER ; AREAS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351513
作者单位	[Li, Boyang; Cui, Yaokui; Geng, Xiaozhuang; Li, Huan] Peking Univ, Sch Earth & Space Sci, Inst RS & GIS, Beijing 100871, Peoples R China
推荐引用方式 GB/T 7714	Li, Boyang,Cui, Yaokui,Geng, Xiaozhuang,et al. Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model[J]. 北京大学,2021,13(8).
APA	Li, Boyang,Cui, Yaokui,Geng, Xiaozhuang,&Li, Huan.(2021).Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model.REMOTE SENSING,13(8).
MLA	Li, Boyang,et al."Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model".REMOTE SENSING 13.8(2021).