Análise espaço-temporal da evapotranspiração e do sequestro de carbono na bacia do Rio Pajeú-PE utilizando a computação em nuvem

Abstract

Among the different components of the hydrological cycle that presents the greatest difficulty in monitoring is evapotranspiration (ET). In recent years, several remote sensing (SR) methods have been developed for estimating ET at different spatial scales, ranging from farms to large watersheds. In this sense, the objective of the present work was to implement the SEBAL algorithm in a cloud computing platform and to evaluate the dynamics of carbon evapotranspiration and assimilation in the Pajeú river basin. We selected six satellite images that correspond to the days