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Abstract
Estimating evapotranspiration (ET) is of the highest importance for understanding and eventually intervening in the water cycle of natural systems. ET is one of the major factors influencing climate change at local, regional and global levels. In this study, a surface energy balance method, which combines meteorological observations with spectral data derived from remote sensing measurements, was used to estimate the ET. The Surface Energy Balance Algorithm for Land (SEBAL) has been applied to Landsat+ETM and NOAA‐AVHRR sensors for the estimation of ET in Mongolia, a large arid and semi‐arid region with homogeneous surface conditions, on 10 August 1999. Actual ET was computed during satellite overpass and integrated for 24‐h on pixel‐by‐pixel basis for daily ET distribution. As a result, a daily ET map over the arid and semi‐arid region of Mongolia was analysed some observation data, such as radiations and surface temperature, was compared with estimated data.