To effectively integrate drones into densely populated urban infrastructures, it is crucial to assess their impact on the population’s quality of life and mitigate any adverse effects. As noise pollution from drone overflights is a top concern, enhancing our numerical capabilities for predicting VTOL aircraft noise in urban environments is essential. To achieve this goal, we have developed an integrated toolchain comprising three key components: Flight Mechanics, to accurately model aircraft behavior; Noise Emission at the Source: to quantify the noise generated by the drones and finally Urban Environment Noise Propagation using the open-source tool NoiseModelling. This comprehensive toolchain enables the creation of detailed noise maps for specific drone scenario definitions. This paper presents an application of our toolchain in a parcel delivery scenario, featuring DJI Matrice 600 drones operating over a 10 km² sector of Madrid in Spain within a day period, incorporating five distribution centers with varying hourly capacities. The results include a range of informative noise indicators, taking into account noise level, number of flyovers and background noise levels.