Bibliographic citations
Huamán, H., (2015). Estimación espacial de la evapotranspiración real usando imágenes de satélite mediante algoritmo SEBAL caso: Irrigación Majes I - Arequipa [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/2163
Huamán, H., Estimación espacial de la evapotranspiración real usando imágenes de satélite mediante algoritmo SEBAL caso: Irrigación Majes I - Arequipa [Tesis]. : Universidad Nacional Agraria La Molina; 2015. https://hdl.handle.net/20.500.12996/2163
@mastersthesis{renati/243109,
title = "Estimación espacial de la evapotranspiración real usando imágenes de satélite mediante algoritmo SEBAL caso: Irrigación Majes I - Arequipa",
author = "Huamán Gutiérrez, Hector Alfredo",
publisher = "Universidad Nacional Agraria La Molina",
year = "2015"
}
This study aims to estimate the spatial actual evapotranspiration using satellite imagery and SEBAL model in the irrigation Majes I – Arequipa. SEBAL is a semiempirical energy balance algorithm. The Results obtained by the SEBAL model to the cloudless day, they are in the range of 0.0 to 8.1 mm.day-1, with an average value of 4.13 mm.day-1. The PEMS – AUTODEMA Special project, has measurements of the evapotranspiration with lysimeters for various crops such as alfalfa California, Potato variety Unica, Baby bean, evapotranspiration values obtained with the SEBAL model are within the ranges of variation for various crops in the Majes I irrigation. For validation of evapotranspiration obtained with SEBAL, measurements with lysimeter are used for the Baby Haba crop with information in dates in common. The results show that SEBAL underestimates the evapotranspiration in the initial– development vegetative period phase with a relative error percentage (Erp) of 31.9%, in the mid season vegetative period phase presents the best fit with Erp of 4.8%, and at the final stage of the growing season presents an overestimation with Erp of 13.9%. To improve the fit in the initial stages of the growing season - development and end season, a local calibration is made according to the fraction of reference evapotranspiration ( ) ܨݎܶܧ of the cold pixel, the results show significant improvements, so in the initial– development vegetative period phase has a Erp of 16.7% and at the stage of the growing end season an Erp of 1.7%. Statistical adjustment for model calibration has very good values, a RMSE equal to 0.52, R2 equal to 0.94 and Nash Sutcliffe 0.90.
This item is licensed under a Creative Commons License