干旱区生态环境知识资源中心(Arid): Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data

Arid

DOI	10.1016/j.agwat.2023.108466
	Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data
	Wei, Jiaxing; Dong, Weichen; Liu, Shaomin; Song, Lisheng; Zhou, Ji; Xu, Ziwei; Wang, Ziwei; Xu, Tongren; He, Xinlei; Sun, Jingwei
通讯作者	Liu, SM
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2023
卷号	287
英文摘要	High spatial resolution maps of evapotranspiration (ET) for precision agricultural irrigation, water resource management are increasingly important in the context of climate change. Here, we conducted extensive unmanned aerial vehicle (UAV) experiments in oasis-desert areas with three 2 km x 1 km regions during two growing seasons. The spatially distributed land surface temperature (LST), albedo and leaf area index (LAI) were retrieved from thermal infrared, multispectral and LiDAR (light detection and ranging) multi-sensor data, and the surface energy balance system (SEBS) model with an optimized surface roughness length for heat transfer was utilized to estimate ET with a super high resolution (SHR) of 0.2 m. The model's outputs were validated using the measurements from the eddy covariance (EC) with a source area of hundred meters and optical-microwave scintillometer (OMS) with a source area of approximately 2 km x 1 km. They yielded mean root mean square error (RMSE) values of 53 and 45 W/m2 for sensible heat flux (H) and 70 and 65 W/m2 for latent heat flux (LE), respectively. The seasonal characteristics of LE distributions indicated the difference of LE in oasis-desert areas varied with the growing period. These sub-pixel differences in the cropland, wetland, and desert experimental areas were caused mainly by the agricultural activities, the vegetation coverage, and the topographic peaks and valleys, respectively. This study can potentially provide spatially sub-pixel information on agricultural and ecological water management and genuinely bridge the spatio-temporal scale gap between field observations and satellite remote sensing.
英文关键词	Evapotranspiration Surface energy balance system Validation and analysis Oasis -desert areas Super high resolution Unmanned aerial vehicle
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:001051301100001
WOS关键词	LARGE-APERTURE SCINTILLOMETER ; ENERGY-BALANCE CLOSURE ; SURFACE-ENERGY ; EDDY-COVARIANCE ; HEIHE RIVER ; SYSTEM SEBS ; FLUXES ; RETRIEVAL ; TEMPERATURES ; IMPROVEMENT
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395085
推荐引用方式 GB/T 7714	Wei, Jiaxing,Dong, Weichen,Liu, Shaomin,et al. Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data[J],2023,287.
APA	Wei, Jiaxing.,Dong, Weichen.,Liu, Shaomin.,Song, Lisheng.,Zhou, Ji.,...&Sun, Jingwei.(2023).Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data.AGRICULTURAL WATER MANAGEMENT,287.
MLA	Wei, Jiaxing,et al."Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data".AGRICULTURAL WATER MANAGEMENT 287(2023).