LINEAR MULTI-REGRESION MODEL FOR ESTIMATING ACTUAL DAILY EVAPOTRANSPIRATION BASED ON S-SEBI METHOD O

Calculating real evapotranspiration (ETa) is critical for monitoring water balance in river basins, agricultural irrigation management, and weather forecasting. In fact, measuring ETa directly is challenging, therefore most ETa applications rely on empirical-theoretical models. The relationship between ETa extracted by the Simple Surface Energy Balance Index (S-SEBI) and surface biological-physical parameters such as albedo, normal difference vegetation index (NDVI), surface temperature (Ts), and net surface solar radiation (Rnd) extracted from Landsat-7 imagery dated November 23, 2001 is used to propose a linear multi-regression model to calculate ETa. On November 4th, 2000, ETa field measurements on meteorological stations were used to test the suggested model, which had a Root Mean Square Error (RMSE) of 1.585 mm/day and a Mean Absolute Error (RAE) of 35.44 percent. The model achieves accuracy with RMSE = 0.702 mm/day and MAE = 17% after reducing the Mean Bias Error (MBE) (model accuracy is 83 percent ).

Please see the link :- https://www.ikprress.org/index.php/JOGEE/article/view/1178