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Comparative analysis of evapotranspiration using the SEBAL model and the evaporimeter pan method in the Huancane basin of Puno, Peru

Remote sensing methods allow obtaining important information from the Earth's surface to effectively evaluate agricultural processes. The present research work proposes to carry out the comparative analysis of evapotranspiration through the methodologies of the SEBAL model and pan evaporimeter in the Huancané basin, Peru. The specific objectives were to estimate evapotranspiration using the SEBAL model from Landsat 8 images, to estimate real evapotranspiration using the pan evaporimeter method from meteorological data from the Huancané and Muñani stations, and to compare and validate evapotranspiration results. obtained from the pan evaporimeter method with the SEBAL model. The methodological stages that are considered to achieve the objectives are: the collection of meteorological data from National Meteorology and Hydrology Service (SENAMHI) of Peru and Landsat 8 satellite images and processing of existing information. For the SEBAL model, the lowest evapotranspiration values correspond to areas with soils without crops or low vegetation cover (NDVI <0.21) and for areas covered with vegetation or grasslands (NDVI> 0.41) represent values between 1.50 to 4.20 mm / day. The pan evaporimeter method allowed to determine the real evapotranspiration (ETR), on average they are 2.10, 2.44, 1.76 and 2.04 mm / day of areas under analysis. The comparison and validation of the evapotranspiration values observed (ETR pan evaporimeter) and estimated (ETR SEBAL), for the analysis areas near the Huancané station present a mean square error of 0.26 and 0.25, coefficient of determination of 0.97 and a Nash-Sutcliffe efficiency of 0.81 and 0.83. Likewise, for the areas near the Muñani station where they show a mean square error of 0.13 and 0.14, coefficient of determination of 0.97 and 0.93; and a Nash-Sutcliffe efficiency of 0.81 and 0.82. The results obtained with the SEBAL model are very satisfactory, which shows that its use is feasible.