Continuous aerial patrolling of long borders of a country requires a group of cooperative unmanned aerial vehicles (UAVs). Previous research based on the spatio-temporal virtual plane provided a framework for comparing different patterns and scenarios of patrolling from the point of view of criteria such as revisit time, percentage of spatio-temporal coverage and the degree of uniformity of coverage. Continuing previous research, the present paper uses the concept of spatio-temporal coverage to provide an automated process for patrolling scenario design with the ability to focus on priority areas such as intruder’s corridors. The designed scenario is described based on the number and distribution of the UAVs at each airport, the time difference between their take-offs, the movement pattern of each UAV and their speed along the path. More focus on priority areas is provided by adjusting the time difference between taking-off the UAVs from the airports or changing their speed on the interested areas. The proposed process considers practical constraints such as minimum speed and maximum flight duration of UAVs, path specifications, payload specifications, and etc. in the production of feasible paths. In the following, the user's priorities regarding reducing the number of UAVs, increasing the coverage percentage, and the reduction of the maximum and average revisit time is considered in selecting the final scenario among the produced feasible path. The proposed process is implemented as a toolbox and the results show the ability of this method to design an appropriate scenario based on user requirements and existing constraints.