Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and Experimental methods

Nowadays, remote sensing is used in various sciences such as geography, biology, meteorology, agriculture, water resources management, etc. Easy and cheap access to data, high accuracy and diversity of images is among the features that have made remote sensing superior to other methods. Therefore, by using the existing algorithms in remote sensing that are related to evapotranspiration, a big step can be taken in the management of water resources. One of these algorithms is SEBAL, which is a remote sensing algorithm that calculates the instantaneous surface energy balance for each pixel of a satellite image. In this research, using this algorithm, multi-spectral satellite data and meteorological information such as temperature, sunshine hours, wind, saturated vapor pressure, soil moisture etc. were used to calculate the surface albedo, surface temperature and vegetation status index. And finally, evapotranspiration was calculated for 5 stations in Saqoz city and evapotranspiration maps were presented. Also, actual evapotranspiration was calculated using Jensen- Haise and Turc and FAO Penman-Monteith which are experimental methods and compared with SEBAL's results. The results showed that the SEBAL algorithm with RMSE=0.02 mm, MBE=0 mm, MAE=0.1 mm has high accuracy to determine evapotranspiration.

Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and Experimental methods Keywords:

Evapotranspiration , SEBAL model , Remote sensing , experimental methods