干旱区生态环境知识资源中心(Arid): Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model

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DOI	10.3390/rs13071344
	Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model
	Li, Changlong; Li, Zengyuan; Gao, Zhihai; Sun, Bin
通讯作者	Sun, B (corresponding author), Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China. ; Sun, B (corresponding author), NFGA, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:7
英文摘要	Evapotranspiration (ET) is an important part of the water, carbon, and energy cycles in ecosystems, especially in the drylands. However, due to the particularity of sparse vegetation, the estimation accuracy of ET has been relatively low in the drylands. Therefore, based on the dry climate and sparse vegetation distribution characteristics of the drylands, this study optimized the core algorithms (canopy boundary resistance, aerodynamic resistance, and sparse vegetation coverage) and explored an ET estimation method in the Shuttleworth-Wallace two-layer model (SW model). Then, the Beijing-Tianjin sandstorm source region (BTSSR) was used as the study area to evaluate the applicability of the improved model in the drylands. Results show that: (1) The R-2 value of the improved model results was increased by 1.4 and the RMSE was reduced by 1.9 mm, especially in extreme value regions of ET (maximum or minimum). (2) Regardless of the spatial distribution and seasonal changes of the ET (63-790 mm), the improved ET estimation model could accurately capture the differences. Furtherly, the different vegetation regions could stand for the different climate regions to a certain extent. The accuracy of the optimized model was higher in the semi-arid region (R-2 = 0.92 and 0.93), while the improved model had the best improvement effect in the arid region, with R-2 increasing by 0.12. (3) Precipitation was the decisive factor affecting vegetation transpiration and ET, with R-2 value for both exceeding 0.9. The effect of vegetation coverage (VC) was less. This method is expected to provide a more accurate and adaptable model for the estimation of ET in the drylands.
英文关键词	Shuttleworth– Wallace two-layer model Beijing– Tianjin sandstorm source region vegetation transpiration soil water evaporation evapotranspiration
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:000638792000001
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351502
作者单位	[Li, Changlong; Li, Zengyuan; Gao, Zhihai; Sun, Bin] Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China; [Li, Changlong; Li, Zengyuan; Gao, Zhihai; Sun, Bin] NFGA, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China; [Li, Changlong] Natl Acad Forestry & Grassland Adm, Beijing 102600, Peoples R China
推荐引用方式 GB/T 7714	Li, Changlong,Li, Zengyuan,Gao, Zhihai,et al. Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model[J],2021,13(7).
APA	Li, Changlong,Li, Zengyuan,Gao, Zhihai,&Sun, Bin.(2021).Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model.REMOTE SENSING,13(7).
MLA	Li, Changlong,et al."Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model".REMOTE SENSING 13.7(2021).