Arid
DOI10.1016/j.agwat.2022.107728
Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models
Elfarkh, Jamal; Simonneaux, Vincent; Jarlan, Lionel; Ezzahar, Jamal; Boulet, Gilles; Chakir, Adnane; Er-Raki, Salah
通讯作者Elfarkh, J
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2022
卷号270
英文摘要Quantification of actual crop evapotranspiration (ETa) over large areas is a critical issue to manage water resources, particularly in semi-arid regions. In this study, four models driven by high resolution remote sensing data were intercompared and evaluated over an heterogeneous and complex traditional irrigated area located in the piedmont of the High Atlas mountain, Morocco, during the 2017 and 2018 seasons: (1) SAtellite Monitoring of IRrigation (SAMIR) which is a software-based on the FAO-56 dual crop coefficient water balance model fed with Sentinel-2 high-resolution Normalized Difference Vegetation Index (NDVI) to derive the basal crop coefficient (Kcb); (2) Soil Plant Atmosphere and Remote Sensing Evapotranspiration (SPARSE) which is a surface energy balance model fed with land surface temperature (LST) derived from thermal data provided from Landsat 7 and 8; (3) a modified version of the Shuttleworth-Wallace (SW) model which uses the LST to compute surface resistances and (4) METRIC-GEE which is a version of METRIC model (Mapping Evapotranspiration at high Resolution with Internalized Calibration) that operates on the Google Earth Engine platform, also driven by LST. Actual evapotranspiration (ETa) measurements from two Eddy-Covariance (EC) systems and a Large Aperture Scintillometer (LAS) were used to evaluate the four models. One EC was used to calibrate SAMIR and SPARSE (EC1) which were validated using the second one (EC2), providing a Root Mean Square Error (RMSE) and a determination coefficient (R) of 0.53 mm/day (R=0.82) and 0.66 mm/day (R=0.74), respectively. SW and METRIC-GEE simulations were obtained respectively from a previous study and Google Earth Engine (GEE), therefore no calibration was performed in this study. The four models predict well the seasonal course of ETa during two successive growing seasons (2017 and 2018). However, their performances were contrasted and varied depending on the seasons, the water stress conditions and the vegetation development. By comparing the statistical results between the simulation and the measurements of ETa it has been shown that SAMIR and METRIC-GEE are the less scattered and the better in agreement with the LAS measurements (RMSE equal to 0.73 and 0.68 mm/day and R equal to 0.74 and 0.82, respectively). On the other hand, SPARSE is less scattered (RMSE = 0.90 mm/day, R = 0.54) than SW which is slightly better correlated (RMSE = 0.98 mm/day, R = 0.60) with the observations. This study contributes to explore the complementarities between these approaches in order to improve the evapotranspiration mapping monitored with high-resolution remote sensing data
英文关键词Evapotranspiration modeling Remote sensing Energy balance FAO-56 Irrigation
类型Article
语种英语
开放获取类型Green Submitted
收录类别SCI-E
WOS记录号WOS:001019039700003
WOS关键词LARGE-APERTURE SCINTILLOMETER ; GROUNDWATER RECHARGE SOURCES ; EDDY-COVARIANCE ; ENERGY-BALANCE ; SURFACE-TEMPERATURE ; EVAPORATIVE FRACTION ; OLIVE ORCHARDS ; 2-SOURCE MODEL ; NET-RADIATION ; WATER-VAPOR
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/2XILL650/391627
推荐引用方式
GB/T 7714
Elfarkh, Jamal,Simonneaux, Vincent,Jarlan, Lionel,et al. Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models[J],2022,270.
APA Elfarkh, Jamal.,Simonneaux, Vincent.,Jarlan, Lionel.,Ezzahar, Jamal.,Boulet, Gilles.,...&Er-Raki, Salah.(2022).Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models.AGRICULTURAL WATER MANAGEMENT,270.
MLA Elfarkh, Jamal,et al."Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models".AGRICULTURAL WATER MANAGEMENT 270(2022).
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