Abstract
ABSTRACT The association of hydrological models with remote sensing data allows the estimation of parameters that cannot be easily measured in situ, especially in regions with poor monitoring networks. In this paper, a distributed hydrological energy water balance model (FEST-EWB) was calibrated and validated in a basin located in a climate transition zone between a semi-arid region and the humid Atlantic Forest, in Brazil. Land surface temperature (LST) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to calibrate the model, that solves the system of energy and mass balance equations as a function of the representative equilibrium temperature. For validation, soil moisture and LST data collected in situ were used. The model presented good performance for the simulation of the variables studied in the basin, even with reduced availability of MODIS data due to cloud coverage, allowing the use of FEST-EWB in areas with these characteristics, which are common in many regions of the world.
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