Modelagem da evapotranspiração usando balanço de energia e imagens de aeronaves remotamente pilotadas

Abstract

Evapotranspiration (ET) encompasses both soil water evaporation and plant transpiration and is a key process in maintaining the water and energy balance at the Earth's surface. It is divided into three components: soil evaporation, canopy transpiration, and interception of water retained by the canopy. The Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model is widely used for ET estimation; however, it does not include a robust method for integrating thermal data obtained by UAVs. This study aims to map ET using meteorological data and aerial images acquired by UAVs in a sugarcane cultivation area in the northern coastal region of Paraíba, Northeast Brazil. Additionally, it proposes to

evaluate how the QGIS plugin QWaterModel can be integrated into models such as PT- JPL to improve the accuracy of evapotranspiration estimates. To achieve this, a

performance analysis was conducted comparing the ET simulated by the models (QWater and PT-JPL) with observed ET values from a flux tower installed in a sugarcane field in

the coastal region of Paraíba between October 2022 and August 2023. By combining PT- JPL with QWaterModel, this study seeks to enhance ET estimation accuracy, particularly

in an agricultural context such as a sugarcane field.