Daily ET estimative using SEBAL and S-SEBI algorithms
DOI:
https://doi.org/10.5902/2179460X9766Abstract
The objective this paper is analyze the performance the algorithms SEBAL and S-SEBI in the estimating of the daily evapotranspiration (ET),using techniques of remote sensing and Landsat 5-TM images. To principalit differentiates among the algorithms comes in the fact of S-SEBI not toneed of information of the surface to estimate the components of the energybalance. The applications of the SEBAL and S-SEBI algorithms aresatisfactory for the obtaining of ET. S-SEBI presents results similar to theSEBAL, evidencing to be a promising tool in the obtaining of ET for areasthat dont have a weather station.Downloads
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