Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
![]() |
ISSN | 0378-3774 |
EISSN | 1873-2283 |
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). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。