Two source energy balance maize evapotranspiration estimates using close-canopy mobile infrared sensors and upscaling methods under variable water stress conditions
نویسندگان
چکیده
Mobile infrared thermometers (IRTs) mounted on moving platforms provide one-time-of-day radiometric measurements (Tr), which can be used to calculate instantaneous actual evapotranspiration (ETa) using the two-source energy balance (TSEB) model. However, irrigation scheduling decisions utilize daily ETa estimates, hence need for time scaling. This study evaluated different upscaling methods maize one-time-of day Tr under varying water stress conditions. IRTs were a high clearance mobile sensing platform and collected in remote locations full, deficit rainfed Seven scaling via two pathways employed obtain ETa. First pathway was (SC) whereas second involved use of six including: original modified evaporative factor ((EF)o, (EF)m) as well crop coefficient ((Kc)o, (Kc)m), direct canopy resistance (Direct- rc), solar radiation ratio (Rn/Rs); all compared neutron-based soil (SWB) determined From results, SC outperformed other comparison SWB across selected treatments with smaller discrepancies lower RMSE (0.9–1.7 mm d?1 vs. 0.7–4.3 methods). Furthermore, including SC, (EF)o, (EF)m, Rn/Rs had their average values close agreement mean differences ranging between 0.2 1.6 d?1. Overall, method performed better fully irrigated (r2 = 0.52, 0.9 d?1) than ( r2 0.48, 1.4 but worst 0.16, 1.7 d?1). implies that is more suited rather settings. Importantly, choice any depends data requirements, management strategy, estimation accuracy.
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ژورنال
عنوان ژورنال: Agricultural Water Management
سال: 2022
ISSN: ['0378-3774', '1873-2283']
DOI: https://doi.org/10.1016/j.agwat.2022.107972