Unmanned Aerial Vehicle (UAV) is used in a variety of fields because there are no people on board. In particular, technologies for 3D modeling using UAV are being researched and developed. In 3D modeling using such an UAV, in order to save time and cost and improve the quality of output, a flight plan must be established in advance with the characteristics of the object to be model. However, it is difficult to find a simulator that can check the flight path and the product in advance with the characteristics of object. Therefore, in this study, a pre-flight simulator was developed to improve the efficiency of 3D modeling by applying point cloud data and LOD. In addition, to verify the performance of the simulator, the estimated product of the simulator and the actual product were compared.

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