干旱区生态环境知识资源中心(Arid): Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model

Arid

DOI	10.1007/s00271-023-00899-y
	Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model
	Meza, Karem; Torres-Rua, Alfonso F.; Hipps, Lawrence; Kustas, William P.; Gao, Rui; Christiansen, Laura; Kopp, Kelly; Nieto, Hector; Burchard-Levine, Vicente; Martin, M. Pilar; Coopmans, Calvin; Gowing, Ian
通讯作者	Meza, K
来源期刊	IRRIGATION SCIENCE
ISSN	0342-7188
EISSN	1432-1319
出版年	2023
英文摘要	Green urban areas are increasingly affected by water scarcity and climate change. The combination of warmer temperatures and increasing drought poses substantial challenges for water management of urban landscapes in the western U.S. A key component for water management, actual evapotranspiration (ETa) for landscape trees and turfgrass in arid regions is poorly documented as most rigorous evapotranspiration (ET) studies have focused on natural or agricultural areas. ET is a complex and non-linear process, and especially difficult to measure and estimate in urban landscapes due to the large spatial variability in land cover/land use and relatively small areas occupied by turfgrass in urban areas. Therefore, to understand water consumption processes in these landscapes, efforts using standard measurement techniques, such as the eddy covariance (EC) method as well as ET remote sensing-based modeling are necessary. While previous studies have evaluated the performance of the remote sensing-based two-source energy balance (TSEB) in natural and agricultural landscapes, the validation of this model in urban turfgrass remains unknown. In this study, EC flux measurements and hourly flux footprint models were used to validate the energy fluxes from the TSEB model in green urban areas at golf course near Roy, Utah, USA. High-spatial resolution multispectral and thermal imagery data at 5.4 cm were acquired from small Unmanned Aircraft Systems (sUAS) to model hourly ETa. A protocol to measure and estimate leaf area index (LAI) in turfgrass was developed using an empirical relationship between spectral vegetation indices (SVI) and observed LAI, which was used as an input variable within the TSEB model. In addition, factors such as sUAS flight time, shadows, and thermal band calibration were assessed for the creation of TSEB model inputs. The TSEB model was executed for five datasets collected in 2021 and 2022, and its performance was compared against EC measurements. For ETa to be useful for irrigation scheduling, an extrapolation technique based on incident solar radiation was used to compute daily ETa from the hourly remotely-sensed UAS ET. A daily flux footprint and measured ETa were used to validate the daily extrapolation technique. Results showed that the average of corrected daily ETa values in summer ranged from about 4.6 mm to 5.9 mm in 2021 and 2022. The Near Infrared (NIR) and Red Edge-based SVI derived from sUAS imagery were strongly related to LAI in turfgrass, with the highest coefficient of determination (R2) (0.76-0.84) and the lowest root mean square error (RMSE) (0.5-0.6). The TSEB's latent and sensible heat flux retrievals were accurate with an RMSE 50 W m-2 and 35 W m-2 respectively compared to EC closed energy balance. The expected RMSE of the upscaled TSEB daily ETa estimates across the turfgrass is below 0.6 mm day-1, thus yielding an error of 10% of the daily total. This study highlights the ability of the TSEB model using sUAS imagery to estimate the spatial variation of daily ETa for an urban turfgrass surface, which is useful for landscape irrigation management under drought conditions.
类型	Article ; Early Access
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:001114590600001
WOS关键词	ENERGY-BALANCE CLOSURE ; EDDY-COVARIANCE ; FLUX MEASUREMENTS ; URBAN LANDSCAPE ; INDEX ; SOIL ; TRANSPIRATION ; TEMPERATURES ; ENVIRONMENT ; CARBON
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/2XILL650/397074
推荐引用方式 GB/T 7714	Meza, Karem,Torres-Rua, Alfonso F.,Hipps, Lawrence,et al. Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model[J],2023.
APA	Meza, Karem.,Torres-Rua, Alfonso F..,Hipps, Lawrence.,Kustas, William P..,Gao, Rui.,...&Gowing, Ian.(2023).Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model.IRRIGATION SCIENCE.
MLA	Meza, Karem,et al."Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model".IRRIGATION SCIENCE (2023).