The objective of this course is to teach “Surface Energy Balance Algorithm for Land (SEBAL)” method which is used for estimation of evapotranspiration (ET) by remote sensing (RS).

The objective of this course is to teach “Surface Energy Balance Algorithm for Land (SEBAL)” method which is used for estimation of evapotranspiration (ET) by remote sensing (RS). ET is an essential component of the water balance, especially for irrigated areas. Potential ET(ETp) and actual ET(ETa) in large irrigated areas are basic parameters in understanding whether resources management is effective. Quantifying of ETp and ETa by using conventional methods such as direct measurement and from climatic data is very difficult especially at system or basin level due to lack of information on spatial variation of parameters needed for estimation. ET can be derived by using RS without the need to quantify other complex hydrological processes. RS can provide more frequent, objective and reliable information than conventional methods on agricultural and hydrological conditions of the land surface