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Universidad Nacional Agraria La Molina (2021)

Aplicación de sensores remotos para estimar la tasa de evapotranspiración en irrigaciones de cuenca áridas, caso : Irrigación Olmos

Ccama Ticona, Ulises

Titre : Aplicación de sensores remotos para estimar la tasa de evapotranspiración en irrigaciones de cuenca áridas, caso : Irrigación Olmos

Auteur : Ccama Ticona, Ulises

Université de soutenance : Universidad Nacional Agraria La Molina

Grade : Magister Scientiae - Gestión Integral de Cuencas Hidrográficas 2021

Résumé
In drylands where water resources are limited and crops are constantly influenced by low rainfall and high temperatures, reliable estimation of spatial and temporal evapotranspiration of the main agricultural crops plays a critical role for decision making regarding irrigation management and scheduling. In recent years, with the appearance of satellite technology, obtaining evapotranspiration with wide spatial and temporal coverage using multispectral images and the application of the surface energy balance algorithm for land (SEBAL) has emerged as a viable alternative. In this context, this research focuses in the application of remote sensing to estimate the evapotranspiration rate in irrigations of arid basins, case : For the Olmos Irrigation, the algorithms proposed by the SEBAL model were automated using Python and implemented in the ArcGIS program thus facilitating the processing of evapotranspiration in order to achieve the objective, a total of nineteen Landsat 8 images, which were provided free of charge by the United States Geological Survey (USGS), were processed. The study area is geographically located on the northern coast of Peru between UTM coordinates 595,200 to 619,270 East and 9’311,505 to 9’336,626 North of the WGS84 system, at an average altitude of 75 meter above sea level. The ETr results obtained through SEBAL, are in the range of 0.0 to 7.07 mm.day-1 during the period of analysis, these results were validated using information from the Sutton meteorological station, ETo was calculated through the Penman-Monteith equation for the day of the satellite passage, then, using Kc values of the sugarcane crop, ETr was determined. The results of the SEBAL estimations with standard values of the parameters, show a good performance with a coefficient of determination (r2 ) of 0.871, a root mean square error (RMSE) of 0.327, a NashSutcliffe coefficient (NSE) of 0.873 and a mean absolute percentage error (MAPE) of 6.76%. This shows that ET measurements using remote sensing data provide adequate and consistent information for application in the study area. This information will be important to understand and address the water resources problem and thus, in the later, improve the allocation of water resources through variable rate irrigation avoiding areas of excess or deficit of water applications.

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Page publiée le 17 novembre 2022