Evaluation of SEBS, METRIC-EEFlux, and QWater Actual Evapotranspiration for Mediterranean Rotation Maize Cropland in Southern Italy
Impact factor: 3.417 (Year: 2021)
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Zaib Un-Nisa, Muhammad Sarfraz Khan, Ajit Govind, Marco Marchetti, Bruno Lasserre, Enzo Magliulo, Antonio Manco. (15/2/2021). Evaluation of SEBS, METRIC-EEFlux, and QWater Actual Evapotranspiration for Mediterranean Rotation Maize Cropland in Southern Italy. Agronomy, 11 (2).
Remote sensing-based evapotranspiration (ET) models with various levels of sophistication have emerged recently with the possibilities of user-deﬁned model calibrations. Their applica- tion for water resources management and climate studies from regional to global scale has been rapidly increasing, which makes it important to validate ﬁeld scale ET in a complex crop assem- blage before operational use. Based on in situ ﬂux-tower measurements by the eddy-covariance (EC) system, this study tested three single-source energy balance models for estimating daily ET from fennel/maize/ryegrass-clover cropland rotations in a Mediterranean context in southern Italy. The sensitivity of three user-friendly ET models (SEBS, QWaterModel, and METRIC-EEFlux) with reference to the EC system over a center pivot irrigated cropland is discussed in detail. Results in terms of statistical indicators revealed that SEBS and METRIC-EEFlux showed reasonable agreements with measured ET (r2 = 0.59SEBS, RMSE = 0.71 mm day−1; r2 = 0.65METRIC, RMSE = 1.13 mm day−1) in terms of trends and magnitudes. At 30 m spatial resolution, both models were able to capture the in-ﬁeld variations only during the maize development stage. The presence of spurious scan lines due to sensor defects in Landsat L7 ETM+ can contribute to the qualities of the METRIC-Efﬂux’s ET product. In our observation, the QWaterModel did not perform well and showed the weakest congruency (r2 = 0.08QWaterModel) with ground-based ET estimates. In a nutshell, the study eval- uated these automated remote sensing-based ET estimations and suggested improvements in the context of a generic approach used in their underlying algorithm for robust ET retrievals in rotational cropland ecosystems.
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