干旱区生态环境知识资源中心(Arid): Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm

Arid

DOI	10.1016/j.agwat.2022.107537
	Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm
	Dari, Jacopo; Quintana-Segui, Pere; Morbidelli, Renato; Saltalippi, Carla; Flammini, Alessia; Giugliarelli, Elena; Jose Escorihuela, Maria; Stefan, Vivien; Brocca, Luca
通讯作者	Dari, J
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2022
卷号	265
英文摘要	Irrigation is the most impacting and uncertain human intervention on the water resource. The possibility of retrieving information on irrigation practices through remote sensing technology opens unprecedented perspectives on the monitoring of anthropized basins. This study is aimed at assessing the impact of different approaches to model the contribution of the evapotranspiration in retrieving the amounts of water applied for irrigation through a soil-moisture-based (SM-based) inversion algorithm; such a contribution is conclusive especially over semi-arid regions. Three modeling approaches relying on both calculated and remotely sensed actual and potential evapotranspiration (ET and PET) data sets were implemented to represent the evapotranspiration rate within the SM-based inversion method, which allows backward estimation of irrigation through the soil water balance inversion. By combining the different evapotranspiration data sources and modeling approaches, seven experiments aimed at inverting DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) downscaled SMAP (Soil Moisture Active Passive) soil moisture at 1 km to estimate irrigation over four heavily irrigated agricultural districts located in Spain (Aragon and Catalonia) were compared. The results highlighted that the application of the FAO56 guidelines parametrization relying on the use of optical data as proposed by the authors in a previous study remains the most reliable configuration. In fact, the implementation of a simplified approach not considering the transpiration component of the specific crop led to irrigation underestimates. Finally, it is interesting to note that the application of the method with remotely sensed ET from MODIS (MODerate-resolution Imaging Spectroradiometer) produced reliable district-aggregated irrigation estimates, thus opening the perspective of an algorithm configuration forced with remote sensing data only.
英文关键词	Irrigation amounts Remote sensing Soil water content Actual evapotranspiration Potential evapotranspiration Water balance inversion
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000792807700002
WOS关键词	SENTINEL-1 TIME-SERIES ; PROBA-V MISSION ; COMBINING SATELLITE ; DATA ASSIMILATION ; SURFACE-WATER ; RESOLUTION ; MODIS ; VALIDATION ; CROPS ; EVAPORATION
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/2XILL650/391595
推荐引用方式 GB/T 7714	Dari, Jacopo,Quintana-Segui, Pere,Morbidelli, Renato,et al. Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm[J],2022,265.
APA	Dari, Jacopo.,Quintana-Segui, Pere.,Morbidelli, Renato.,Saltalippi, Carla.,Flammini, Alessia.,...&Brocca, Luca.(2022).Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm.AGRICULTURAL WATER MANAGEMENT,265.
MLA	Dari, Jacopo,et al."Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm".AGRICULTURAL WATER MANAGEMENT 265(2022).