The Cadastral Resurvey Project is an important national project that corrects the registration of cadastral records and converts paper cadasters into digital cadasters in the form of high-quality numerical coordinates through survey and land survey ba...
The Cadastral Resurvey Project is an important national project that corrects the registration of cadastral records and converts paper cadasters into digital cadasters in the form of high-quality numerical coordinates through survey and land survey based on advanced digital technology and international location standards, targeting cadastral records created by the Japanese regime more than 110 years ago in accordance with the Act on the Establishment and Management of Spatial Information and the Special Act on Cadastral Resurvey. From 2012 to 2030, the Ministry of Land, Infrastructure, and Transport has targeted 5.54 million cadastral inconsistencies out of 37 million parcels nationwide. However, as of 2023, about 26% of the total project volume has been completed, which is due to the fluctuation of policy interest and annual government budget allocations, as well as the inefficiency of the promotion system and method, which takes about 1.5 to 2 years to complete one project area. Various technologies and equipment such as total stations, GNSS, drones, and mobile surveys are being used to establish spatial location and attribute information for the national territory, but each survey method has human, technical, and environmental limitations, and the existing flat cadastral maps do not reflect the current three-dimensional and complex usage status of the national territory.
In this study, various three-dimensional advanced technologies and sensors such as airborne and ground LIDAR, MMS, and 360 VR were fused to select research target areas by environment, characteristics, and scale to propose a rapid and efficient digital cadastral data construction method, and it was confirmed that it is more time-efficient than the existing drone photography method. To verify the performance, data quality, and accuracy of airborne LIDAR and MMS, and to realize a high-precision and high-quality 3D digital cadastral model, we compared the observation values of the inspection reference points in the study area with the values extracted from the LIDAR and numerical elevation models. In addition, we compared the actual inspection point survey values with the extracted values of the fused data to examine the possibility of utilization as a cadastral re-survey survey performance. The results showed excellent performance and accuracy by fulfilling the performance determination (boundary point and reference point) criteria of the Enforcement Decree of the Special Act on Cadastral Re-survey and the vertical data quality criteria of the Regulations on the Construction and Management of Numerical Elevation Models. By analyzing the advantages and disadvantages of 3D and survey-related programs, we presented a method for developing a 3D system using open sources such as Potree and React libraries and technologies such as Diffing algorithm that can effectively represent large-scale point clouds and omnidirectional image data and utilize them in the work, and we defined the concept of 3D model production using precise 2D cadastral and elevation (DEM) data newly created through cadastral surveying. We presented areas and methods that can be utilized for each work process of the developed system, and confirmed the time-saving effect when utilized in the survey, boundary setting, and decision process. It is expected that the convergence of advanced technologies presented through this study and the utilization of high-precision data and image-based 3D systems will overcome the limitations of existing business methods and improve speed, efficiency, and accuracy.