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dc.contributorGovind, Ajiten_US
dc.contributorNangia, Vinayen_US
dc.contributorGamal, Raniaen_US
dc.contributorZaitouna, Rimen_US
dc.contributorJomaa, Ihaben_US
dc.contributorMazahrih, Naemen_US
dc.contributorMosaad, Alaaen_US
dc.contributorEL Meknassi, Ehssanen_US
dc.contributorMansouri, Anasen_US
dc.contributorHaddad, Miraen_US
dc.contributorSwelam, Atefen_US
dc.creatorBiradar, Chandrashekharen_US
dc.identifier.citationChandrashekhar Biradar, Ajit Govind, Vinay Nangia, Rania Gamal, Rim Zaitouna, Ihab Jomaa, Naem Mazahrih, Alaa Mosaad, Ehssan EL Meknassi, Anas Mansouri, Mira Haddad, Atef Swelam. (23/12/2021). Output 9: Comparison Between Field Data and Remote Sensing Data Analyzed Comparing Evapotranspiration Retrieved Through Various Remote Sensing based Models with Ground Measured Data.en_US
dc.description.abstractEvapotranspiration (ET) measurement on a real-time basis at a large scale with high temporal frequency is important for agricultural water use and water resource planning. Identifying the differences between potential ET and crop ET at fine spatial resolutions is essential for management of agriculture and water resources. It could contribute to the water deficit assessment at the individual farm level. This study evaluates the potential of remote sensing-based models at five different locations in the Near East and North African (NENA) region. Ground-based ET was determined for these locations during different crop growing seasons. Remote sensing-based ET estimates generated through three remote sensingbased models (WaPOR, METRIC, and SEBAL) were compared with ground-based estimates. This comparative analysis evaluated the remote sensing-based modelling approaches and identified the model that generated the closest estimates to the ground estimates. Results showed that SEBAL and METRIC performed well except few locations. SEBAL showed highest index of agreement (d) (0.49 to 0.91) between observed and estimated ET data followed by METRIC (0.40 to 0.66) and WaPOR (0.31 to 0.61) for all seasons. Overall, the model's performance parameters showed that SEBAL had the smallest nRMSE and uncertainty and the largest Ratio of Performance to Deviation (RPD) and (d) compared to the other two models. RPD has been used as the standard way to report the quality of a model. Therefore, the results of this study reveal that SEBAL performed well for study locations followed by METRIC and WaPOR. Another finding for the study locations is that the ground ET determination technique based on soil moisture depletion (SMD) was less correlated with RS-based ET than other techniques.en_US
dc.rightsCopyrighted; all rights reserveden_US
dc.subjectfield dataen_US
dc.subjectrs eten_US
dc.titleOutput 9: Comparison Between Field Data and Remote Sensing Data Analyzed Comparing Evapotranspiration Retrieved Through Various Remote Sensing based Models with Ground Measured Dataen_US
dc.typeInternal Reporten_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idGovind, Ajit: 0000-0002-0656-0004en_US
cg.creator.idNangia, Vinay: 0000-0001-5148-8614en_US
cg.creator.idHaddad, Mira: 0000-0002-9450-1599en_US
cg.creator.idSwelam, Atef: 0000-0002-5220-9901en_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerNational Research Institute of Rural Engineering, Water and Forest - INRGREFen_US
cg.contributor.centerLebanese Agricultural Research Institute - LARIen_US
cg.contributor.centerAgricultural Research Center Egypt - ARC Egypten_US
cg.contributor.centerInstitute of Agronomy and Veterinary Hassan II - IAV HASSAN IIen_US
cg.contributor.crpCGIAR Research Program on Water, Land and Ecosystems - WLEen_US
cg.contributor.funderSwedish International Development Cooperation Agency - SIDAen_US
cg.contributor.projectEstablishing and Operating a Regional Network for Field Measurement of Actual Crop Water Consumption (Evapotranspiration)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionNorthern Africaen_US
dc.identifier.statusTimeless limited accessen_US

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