ESTIMATIVA DA EVAPOTRANSPIRAÇÃO UTILIZANDO O ALGORITMO ASEBAL PARA DIFERENTES ZONAS CLIMÁTICAS NO ESTADO DA PARAÍBA

Abstract

Evapotranspiration (ET) plays a crucial role in the hydrological cycle by transferring water from the soil and vegetation to the atmosphere as vapor. Factors such as solar radiation, temperature, air humidity, and vegetative characteristics influence this complex process. Its influence impacts the water cycle and regional climate, making it vital for water management, forecasting, and agricultural planning. Over the past three decades, mathematical models have been developed and used to estimate various indices, with contributions from remote sensing. Utilizing satellite data, remote sensing plays a fundamental role in studying climate variations, providing continuous spatial information at various scales. Various sensors and algorithms are employed to estimate evapotranspiration (ET) on different territorial scales, such as the MODIS sensor found on the Aqua and Terra satellites. This sensor collects data such as sea surface temperature, air temperature, and vegetative characteristics. This study aims to estimate evapotranspiration for the entire state of Paraíba (PB – Brazil) [located in northeastern Brazil] using the ASEBAL algorithm. It visually presents the main points of critical water loss and its dynamics throughout the year 2020. To achieve this estimate, MODIS sensor products, including MOD09A1, MYD09A1, MOD11A2, and MYD11A2, were used. In this way, regions with higher and lower ET indices during this period in the state could be identified.