Evaluating the performance of the TSEB model for sorghum evapotranspiration estimation using time series UAV imagery

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dc.authoridTunca, Emre/0000-0001-6869-9602en_US
dc.authorscopusid57204446671en_US
dc.authorwosidTunca, Emre/IQT-3077-2023en_US
dc.contributor.authorTunca, Emre
dc.date.accessioned2024-08-23T16:07:16Z
dc.date.available2024-08-23T16:07:16Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractEvapotranspiration (ET) is a vital process involving the transfer of water from the Earth's surface to the atmosphere through soil evaporation and plant transpiration. Accurate estimation of ET is important for a variety of applications, including irrigation management and water resource planning. The two-source energy balance (TSEB) model is a commonly used method for estimating ET using remotely sensed data. This study used the TSEB model and high-resolution unmanned aerial vehicle (UAV) imagery to estimate sorghum ET under four different irrigation regimes over two growing seasons in 2020 and 2021. The study also validated net radiation (Rn) flux through hand-held radiometer measurements and compared the estimated ET with a soil water balance model. The study outcomes revealed that that the TSEB model capably estimated Rn values, aligning well with ground-based Rn measurements for all irrigation treatments (RMSE = 32.9-39.8 W m(-2) and MAE = 28.1-35.2 W m(-2)). However, the TSEB model demonstrated robust performance in estimating ET for fully irrigated conditions (S1), while its performance diminished with increasing water stress (S2, S3, and S4). The R-2, RMSE, and MAE values range from 0.64 to 0.06, 10.94 to 17.04 mm, and 7.09 to 11.43 mm, respectively, across the four irrigation treatments over a 10-day span. These findings not only suggest the potential of UAVs for ET mapping at high-resolution over large areas under various water stress conditions, but also highlight the need for further research on ET estimation under water stress conditions.en_US
dc.description.sponsorshipThis study was supported by the Scientific and Technical Research Council of Turkey (TUBITAK, Project Number: 118O831). [118O831]; Scientific and Technical Research Council of Turkey (TUBITAK)en_US
dc.description.sponsorshipThis study was supported by the Scientific and Technical Research Council of Turkey (TUBITAK, Project Number: 118O831).en_US
dc.identifier.doi10.1007/s00271-023-00887-2
dc.identifier.issn0342-7188
dc.identifier.issn1432-1319
dc.identifier.scopus2-s2.0-85174519917en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s00271-023-00887-2
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14550
dc.identifier.wosWOS:001085919700001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTunca, Emreen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofIrrigation Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSurface-Energy Fluxesen_US
dc.subjectWater-Use Efficiencyen_US
dc.subjectLeaf-Area Indexen_US
dc.subjectBalance Modelen_US
dc.subjectMapping Evapotranspirationen_US
dc.subjectHeat-Fluxen_US
dc.subjectTemperatureen_US
dc.subjectIrrigationen_US
dc.subjectSoilen_US
dc.subjectBiomassen_US
dc.titleEvaluating the performance of the TSEB model for sorghum evapotranspiration estimation using time series UAV imageryen_US
dc.typeArticleen_US

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