Geospatial information is data on the position of natural and artificial objects existing in space and is usually displayed in map form. Recently, virtual reality (VR) and augmented reality (AR) technologies have been utilized in various fields, and the importance of constructing three-dimensional spatial information as a basis of these technologies has increased. Light detection and ranging (LiDAR) technology is increasingly used to acquire data on terrain. Because LiDAR can generate a high-density point cloud while saving time and manpower consumption, it is increasingly utilized for 3D model building, measurement of structural deformation, and drawing construction for building maintenance. On the other hand, unmanned aerial vehicles (UAVs) are increasingly used for acquiring building geospatial information. In this study, geospatial information construction using UAV images and UAV LiDAR data was performed. Fixed-wing image acquisition and processing using UAV were performed. Data acquired using UAV LiDAR were used to construct a digital surface model (DSM), and the accuracy and characteristics of images and LiDAR data were analyzed. In the future, the construction of DSM using UAV LiDAR will greatly increase the efficiency of related field work.