气候变化领域集成服务门户(CCPortal): Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution

CCPortal

DOI	10.1016/j.jag.2018.10.016
	Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution
	Awada H.; Ciraolo G.; Maltese A.; Provenzano G.; Moreno Hidalgo M.A.; Còrcoles J.I.
发表日期	2019
ISSN	15698432
起始页码	96
结束页码	105
卷号	75
英文摘要	Remote sensing techniques allow monitoring the Earth surface and acquiring worthwhile information that can be used efficiently in agro-hydrological systems. Satellite images associated to computational models represent reliable resources to estimate actual evapotranspiration fluxes, ET a , based on surface energy balance. The knowledge of ET a and its spatial distribution is crucial for a broad range of applications at different scales, from fields to large irrigation districts. In single plots and/or in irrigation districts, linking water volumes delivered to the plots with the estimations of remote sensed ET a can have a great potential to develop new cost-effective indicators of irrigation performance, as well as to increase water use efficiency. With the aim to assess the irrigation system performance and the opportunities to save irrigation water resources at the “SAT Llano Verde” district in Albacete, Castilla-La Mancha (Spain), the Surface Energy Balance Algorithm for Land (SEBAL) was applied on cloud-free Landsat 5 Thematic Mapper (TM) images, processed by cubic convolution resampling method, for three irrigation seasons (May to September 2006, 2007 and 2008). The model allowed quantifying instantaneous, daily, monthly and seasonal ET a over the irrigation district. The comparison between monthly irrigation volumes distributed by each hydrant and the corresponding spatially averaged ET a , obtained by assuming an overall efficiency of irrigation network equal to 85%, allowed the assessment of the irrigation system performance for the area served by each hydrant, as well as for the whole irrigation district. It was observed that in all the investigated years, irrigation volumes applied monthly by farmers resulted generally higher than the corresponding evapotranspiration fluxes retrieved by SEBAL, with the exception of May, in which abundant rainfall occurred. When considering the entire irrigation seasons, it was demonstrated that a considerable amount of water could have been saved in the district, respectively equal to 26.2, 28.0 and 16.4% of the total water consumption evaluated in the three years. © 2018 Elsevier B.V.
英文关键词	Irrigation system performance; Latent heat flux; Remote sensing; Resampling methods; Surface energy balance; Water saving
语种	英语
scopus关键词	energy balance; evapotranspiration; irrigation system; Landsat thematic mapper; latent heat flux; performance assessment; remote sensing; sampling; satellite imagery; surface energy; water use efficiency; Albacete [Castilla-La Mancha]; Castilla-La Mancha; Spain
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156543
作者单位	Dept. of Civil, Environmental, Aerospace, Materials Engineering (DICAM), Università degli Studi di Palermo, Bld. 8, Viale delle Scienze, Palermo, 90128, Italy; Dept. of Agriculture, Food and Forest Sciences (SAAF), Università degli Studi di Palermo, Bld. 4, Viale delle Scienze 12, Palermo, 90128, Italy; Regional Center for Water Research (CREA), University of Castilla-La Mancha, Carretera de Las Peñas, km 3200, Albacete, 02071, Spain
推荐引用方式 GB/T 7714	Awada H.,Ciraolo G.,Maltese A.,et al. Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution[J],2019,75.
APA	Awada H.,Ciraolo G.,Maltese A.,Provenzano G.,Moreno Hidalgo M.A.,&Còrcoles J.I..(2019).Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution.International Journal of Applied Earth Observation and Geoinformation,75.
MLA	Awada H.,et al."Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution".International Journal of Applied Earth Observation and Geoinformation 75(2019).