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Nowadays, due to the advances in Unmanned Aerial Vehicles (UAV) technology, they are used in various applications, including surveillance and imaging of various areas. In this paper, the problem of routing UAVs to image specific areas with different accuracy requirements is investigated. The mission planning was done considering different weather conditions and wind currents, and the uncertainty in wind speed, which affects the final speed of the drone, was investigated. A mathematical model was presented to determine the optimal flight paths of the drones, while taking into account the imaging accuracy that is adjusted by altitude. Computational experiments were performed to investigate the problem and the presented model using the GAMS software.
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