Automating Three-Dimensional Cadastral Models of 3D Rights and Buildings Based on the Ladm Framework

Bibliographic Data

ID22034777
AuthorsRatri Widyastuti (0000-0003-2068-3307, Bandung Institute of Technology), Deni Suwardhi (0000-0003-0440-2253, Bandung Institute of Technology, corresponding author), Irwan Meilano (0000-0003-3488-9154, Bandung Institute of Technology), Andri Hernandi (0000-0003-3178-8868, Bandung Institute of Technology), Juan Firdaus (Bandung Institute of Technology)
Year2025
Volume14
Issue8
Pages293
Publication date2025-07-28
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14080293
OpenAlexW4413095834
LanguageEN
Citations received1
References cited20

Before the development of 3D cadastre, cadastral systems were based on 2D representations, which now require transformation or updating. In this context, the first issue is that existing 2D rights are not aligned with recent 3D data acquired using advanced technologies such as Unmanned Aerial Vehicle–Light Detection and Ranging (UAV-LiDAR). The second issue is that point clouds of objects captured by UAV-LiDAR, such as fences and exterior building walls—are often neglected. However, these point cloud objects can be utilized to adjust 2D rights to correspond with recent 3D data and to update 3D building models with a higher level of detail. This research leverages such point cloud objects to automatically generate 3D rights and building models. By combining several algorithms, such as Iterative Closest Point (ICP), Random Forest (RF), Gaussian Mixture Model (GMM), Region Growing, the Polyfit method, and the orthogonality concept—an automatic workflow for generating 3D cadastral models is developed. The proposed workflow improves the horizontal accuracy of the updated 2D parcels from 1.19 m to 0.612 m. The floor area of the 3D models improves by approximately ±3 m2. Furthermore, the resulting 3D building models provide approximately 43% to 57% of the elements required for 3D property valuation. The case study of this research is in Indonesia

Building Information Modeling · Building model · Cadastre · Cartography · Computer vision · Data mining · Database · Geography · Lidar · Point cloud · Remote sensing · Simulation · Workflow · 3D Modeling in Geospatial Applications · 3D Surveying and Cultural Heritage · Computer Science · Engineering · Remote Sensing and LiDAR Applications

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