Actual Crop Evapotranspiration Estimation of Wheat Crop Using SEBAL Algorithm and Remotely Sensed Data

Estimation of evapotranspiration is imperative for effective forest, irrigation and water resources management as well to increase yields better crop management. This study aims evaluate the effectiveness Surface Energy Balance Algorithm Land (SEBAL) in estimating actual 15 years wheat 2A distributary Mahanadi canal Command which situated Dhamtari district Chhattisgarh state India. The Landsat 7 8 satellite images from February – March (2007 -2021) were used acquire coefficients respective bands. To validate outcomes SEBAL algorithm, FAO Penman-Monteith methods employed calculate values evaluated using suitable performance metrics. evaluation SEBAL, along with FAO-Penman–Monteith method, showed that has a sufficient accuracy ET. results generated are high agreement method registering highest correlation value (R2 = 0.826) corresponding Root Mean Square Error was (RSME =0.4386), Normalized Square, (NRMSE= 0.386), Absolute (MAE=1.17) Nash Sutcliffe Efficiency( ENS 0.843) crop. In 2010 maximum ETc 2021 minimum area. show since algorithm acceptable, could be very convenient method. Moreover, it easily assimilated into farming systems precision agriculture decision-making higher yield.