Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods

Evapotranspiration is one of the most important elements hydrological cycle. Estimation evapotranspiration imperative for effective forest, irrigation, rangeland and water resources management as well to increase yields better crop management. This study aims evaluate effectiveness Surface Energy Balance Algorithm Land (SEBAL) in estimating coefficient corn Mediterranean region Adana province, Turkey. The Landsat 8 satellite images from March September 2018 were used acquire coefficients respective bands. Then, net radiation flux on earth’s surface heat obtained using incoming-outgoing fluxes albedo, emissivity coefficients, land temperature, plant indicators. Next, sensible calculated by determining hot cold pixels under consideration via atmospheric stability conditions. Finally, maps are plotted. also estimated with respected being To validate outcomes SEBAL algorithm, experimental methods employed calculate values evaluated suitable performance metrics. results showed that generated high agreement FAO Penman-Monteith method registering highest correlation (R = 0.91) lowest error (RMSE 1.14). In addition, registered 0.89, 0.87 0.68 Turk, Makkink Hargreaves methods, respectively. Moreover, manifested an acceptable all methods. value was 0.98). show since algorithm actual acceptable, could be a very convenient method. it easily assimilated into farming systems precision agriculture decision-making higher yield.