This research was motivated by the necessity to achieve better efficiency of hydraulic models. By using an automated calculation routine for the roughness in the vegetated areas, we could produce results with higher precision, reducing the error when comparing to the traditional method of roughness setting. The research shows that, using machine learning, and remote sensing data, the necessary vegetation parameters can be obtained in a broad area, enabling the application of the method.