干旱区生态环境知识资源中心(Arid): Use of multispectral and thermal satellite imagery to determine crop water requirements using SEBAL, METRIC, and SWAP models in hot and hyper-arid Oman

Arid

DOI	10.1007/s12517-021-06948-0
	Use of multispectral and thermal satellite imagery to determine crop water requirements using SEBAL, METRIC, and SWAP models in hot and hyper-arid Oman
	Ali, Ahsan; Al-Mulla, Yaseen A.; Charabi, Yassin; Al-Wardy, Malik; Al-Rawas, Ghazi
通讯作者	Ali, A (corresponding author), Sultan Qaboos Univ, Dept Soils Water & Agr Engn, Muscat 123, Oman.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2021
卷号	14 期号:7
英文摘要	Hyper-arid regions, such as the Sultanate of Oman, require precise information regarding actual water application to develop efficient irrigation management. Remote sensing techniques with imagery models can be used as practical tools in irrigation practices by estimating the actual evapotranspiration (ETa) at local and regional scales. In this study, spatial and temporal changes in the ETa were evaluated by investigating the performance of three different models, including two surface energy balance models: surface energy balance algorithm for land (SEBAL) and mapping evapotranspiration at high-resolution internalized calibration (METRIC), as well as an agro-hydrological model: soil, water, atmosphere, and plant (SWAP), for the hyper-arid conditions of Oman. This study is unique in its field application, as very few studies have conducted ETa estimations using satellite imagery in the hot and hyper-arid regions of Oman. In situ meteorological data were integrated with Landsat-8 operational land multispectral imagery and thermal infrared sensor satellite images. Further, a sensitivity analysis comparing the three models' estimated ETa with in situ sap flow field measurements (SFM) and the Penman-Monteith (PM) model. The results showed that the SEBAL model overestimated the sensible heat flux compared with the METRIC model. Although the PM model showed a higher correlation (R-2 = 0.87) with the SFM, the METRIC model, among all the investigated models, showed the highest correlation of R-2 = 0.83. Further, the SEBAL and METRIC models overestimated the ETa, especially in the summer. Conversely, SWAP underestimated the ETa, as compared with the SFM. These results show that the METRIC model estimates the ETa with high spatial and temporal accuracy. Meanwhile, the SWAP model was the least suitable model for estimating the ETa under the hyper-arid condition of Oman. These findings will act as a reference for accurate water requirements, thereby linking water resource management and future irrigation scheduling in local hot and hyper-arid conditions.
英文关键词	evapotranspiration remote sensing sap flow arid conditions heat flux
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000636370500007
WOS关键词	ESTIMATING REFERENCE EVAPOTRANSPIRATION ; ENERGY BALANCE ALGORITHM ; MAPPING EVAPOTRANSPIRATION ; SURFACE PARAMETERS ; SAP FLOW ; REMOTE ; EVAPORATION ; CALIBRATION ; MANAGEMENT ; FLUXES
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349556
作者单位	[Ali, Ahsan; Al-Mulla, Yaseen A.; Al-Wardy, Malik] Sultan Qaboos Univ, Dept Soils Water & Agr Engn, Muscat 123, Oman; [Al-Mulla, Yaseen A.] Sultan Qaboos Univ, Remote Sensing & GIS Res Ctr, Muscat 123, Oman; [Charabi, Yassin] Sultan Qaboos Univ, Ctr Environm Studies & Res, Muscat 123, Oman; [Al-Rawas, Ghazi] Sultan Qaboos Univ, Dept Civil & Architectural Engn, Muscat 123, Oman
推荐引用方式 GB/T 7714	Ali, Ahsan,Al-Mulla, Yaseen A.,Charabi, Yassin,et al. Use of multispectral and thermal satellite imagery to determine crop water requirements using SEBAL, METRIC, and SWAP models in hot and hyper-arid Oman[J],2021,14(7).
APA	Ali, Ahsan,Al-Mulla, Yaseen A.,Charabi, Yassin,Al-Wardy, Malik,&Al-Rawas, Ghazi.(2021).Use of multispectral and thermal satellite imagery to determine crop water requirements using SEBAL, METRIC, and SWAP models in hot and hyper-arid Oman.ARABIAN JOURNAL OF GEOSCIENCES,14(7).
MLA	Ali, Ahsan,et al."Use of multispectral and thermal satellite imagery to determine crop water requirements using SEBAL, METRIC, and SWAP models in hot and hyper-arid Oman".ARABIAN JOURNAL OF GEOSCIENCES 14.7(2021).