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Accurate evapotranspiration (ET) estimation is vital for hydrological modeling, yet remotely sensed ET (RS-ET) products are often limited by algorithmic uncertainties and sensor biases. To mitigate error propagation and better capture spatial patterns, this study introduces the Composite Efficiency of Absolute ET and Spatial Autocorrelation (CEASA) —a dual-constraint framework that integrates abso
