Evaluating The Potential of Remote Sensing Data to Estimate Evapotranspiration in Semi - Arid Regions
The shortage of water resources in our country has become a major challenge in recent years and evapotranspiration (ET) is major water losses in agriculture land use. So, sustainable and optimum water resources management and plant water requirement require the accurate estimation of ET. Estimation of ET from remote sensing data is more appropriate than field methods, because spatial and temporal coverage of this method is very extend and time and cost are optimized. Studies have shown that the surface energy balance algorithm (Sebal) is one of the most appropriate methods in of (ET) estimation. This algorithm used the surface temperature, albedo, vegetation indices and their inter-relationship for calculating surface flux in different types of ground cover. Therefore, the aim of this study was to estimate actual ET with above algorithm in Damaneh region of Isfahan province using Landsat TM 6/1/2009 data...