Evaluating the impact of different UAV thermal sensors on evapotranspiration estimation

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dc.authoridTunca, Emre/0000-0001-6869-9602en_US
dc.authorscopusid57204446671en_US
dc.authorscopusid24344113900en_US
dc.authorwosidTunca, Emre/IQT-3077-2023en_US
dc.contributor.authorTunca, Emre
dc.contributor.authorKoksal, Eyup Selim
dc.date.accessioned2024-08-23T16:04:43Z
dc.date.available2024-08-23T16:04:43Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractAccurate evapotranspiration (ET) estimation is vital for precise irrigation management. Remote sensing provides a unique method for obtaining spatial and temporal ET information. With technological advancements, several unmanned aerial vehicle (UAV) thermal sensors have been developed. However, the impact of thermal sensors on ET estimation is unclear. This study evaluated the impact of different UAV thermal sensors, including Micasense Altum and Flir Duo Pro-R (FDP-R), on ET estimation using the Two Source Energy Balance (TSEB) model. A field experiment was conducted during the 2021 sorghum growing period, with irrigation treatments consisting of four different regimes: full irrigation (S1), 70 % of S1 (S2), 40 % of S1 (S3), and rainfed (S4). The results revealed no statistically significant differences between the estimated ET values using Micasense Altum and FDP-R thermal sensors. The TSEB model's performance was entirely satisfactory for full irrigation, with RMSE values of 5.63 mm for Micasense Altum and 7.17 mm for FDP-R, in 10 days. However, the accuracy deteriorated with increasing water stress, reaching 29.02 mm for Micasense Altum and 25.12 mm for FDP-R, in 10 days in rainfed plots. The study results highlight the capability of both Micasense Altum and FDP-R thermal sensors to provide comparable ET estimates, particularly under full irrigation conditions. However, the decline in accuracy with increased water stress underlines a potential limitation of the TSEB model when applied to varying irrigation regimes. These insights emphasize the importance of adjustment of TSEB input parameters such as alpha PT coefficient, resistance terms etc. and sensor technologies, particularly in water-stressed environments, to ensure accurate ET estimation. This study demonstrated the potential of high-resolution UAV thermal sensors for precision irrigation management tasks. Further studies with different thermal sensors are needed to understand this technology's benefits fully. The impact of different climate conditions on ET estimation should also be explored for accurate results.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [118O831]en_US
dc.description.sponsorshipThis study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK, Project Number: 118O831) .en_US
dc.identifier.doi10.1016/j.infrared.2023.105093
dc.identifier.issn1350-4495
dc.identifier.issn1879-0275
dc.identifier.scopus2-s2.0-85181084539en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.infrared.2023.105093
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14330
dc.identifier.volume136en_US
dc.identifier.wosWOS:001165841000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInfrared Physics & Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectET estimationen_US
dc.subjectUAV thermalen_US
dc.subjectTSEBen_US
dc.subjectMicasense Altumen_US
dc.subjectFlir Duo Pro-Ren_US
dc.subjectEnergy-Balance Modelen_US
dc.subjectOf-The-Arten_US
dc.subject2-Source Modelen_US
dc.subjectWater Statusen_US
dc.subjectSatelliteen_US
dc.subjectFluxesen_US
dc.subjectSoilen_US
dc.subjectCalibrationen_US
dc.subjectIrrigationen_US
dc.subjectAccuracyen_US
dc.titleEvaluating the impact of different UAV thermal sensors on evapotranspiration estimationen_US
dc.typeArticleen_US

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