Document Type : Research Article
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Abstract
Today, remote sensing is used in various sciences, such as: geography, biology, meteorology, agriculture, water resources management and etc. Easy and inexpensive data access and data precision, digital and extensive and comprehensive of images that having the frequency spectrum, are some advantages of remote sensing, than other methods of providing information. Therefore, by using algorithms in remote sensing that having the evaporation and transpiration, you can have a big step in the management of water resources. Among of these algorithms, SEBAL is a remote sensing algorithm that calculating surface energy balance for each pixel of a satellite image at each moment. In this study, surface albedo, surface temperature and vegetation status index were calculated by using this algorithm and multi-spectral satellite data and meteorological information such as degree of temperature, hours of sunshine, wind, saturated vapor pressure, soil humidity and etc. Finally evapotranspiration of Miandarband plain (west of Iran) was determined and the evapotranspiration maps were prepared. Also, the actual evapotranspiration computed for wheat using FAO conventional method and was compared with SEBAL method. The results showed that there was a high correlation (0.84) between these two methods.
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