Precision and Paradigm Shift: Transforming Land and Building Tax Assessment Through Uav-Lidar Derived High-Resolution 3d Spatial Data
DOI:
https://doi.org/10.24036/sjdgge.v10i1.730Keywords:
UAV-LiDAR Technology, Three-Dimensional Spatial Data, Land and Building Tax Evaluation, Property Tax AdministrationAbstract
The conventional Land and Building Tax (PBB) evaluation methods in Indonesia, namely in Baso District, Agam Regency, depend on two-dimensional measures with accuracy rates ranging from 85% to 95%, resulting in possible revenue deficits and assessment inconsistencies. This work seeks to create and execute a more precise tax assessment system utilizing high-resolution 3D spatial data obtained by UAV-LiDAR technology. The study utilizes a quantitative applied methodology, employing a DJI Matrice 350 RTK outfitted with LiDAR sensors for data acquisition. Data processing with DJI Terra and TerraSolid software produces Digital Terrain Models (DTM) and Digital Surface Models (DSM), facilitating accurate land boundary delineation and 3D building digitization. The findings indicate a substantial enhancement in spatial measuring accuracy, attaining 97-99% precision relative to traditional approaches. The implementation facilitates thorough property evaluation via precise measurements of building heights, volumes, and land areas, thereby offering a more dependable foundation for tax computations. The study suggests that, despite constraints including elevated initial costs and training demands, the inclusion of UAV-LiDAR technology significantly improves the accuracy, efficiency, and transparency of PBB assessments, representing a notable improvement in contemporary property tax administration systems.
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References
M. Stewart, Tax and Government in the 21st Century. in Law in Context. Cambridge: Cambridge University Press, 2022. doi: 10.1017/9781316160701.
H. Kitchen, “Property Tax,” in A Primer on Property Tax, 2012, pp. 1–40. doi: 10.1002/9781118454343.ch1.
A. Hernandi et al., “Fair Taxes, Better Revenue: A Case Study on Spatial Approaches to Land Taxation in Lebak Regency, Indonesia,” Land, vol. 14, no. 1, p. 125, 2025, doi: 10.3390/land14010125.
M. Koeva et al., “Remote Sensing for Property Valuation: A Data Source Comparison in Support of Fair Land Taxation in Rwanda,” Remote Sensing, vol. 13, no. 18, p. 3563, 2021, doi: 10.3390/rs13183563.
A. Singh et al., “Designing Geographic Information System Based Property Tax Assessment in India,” Smart Cities, vol. 5, no. 1, pp. 364–381, 2022, doi: 10.3390/smartcities5010021.
D. A. Ali, K. Deininger, and M. Wild, “Using satellite imagery to create tax maps and enhance local revenue collection,” Applied Economics, vol. 52, no. 4, pp. 415–429, Jan. 2020, doi: 10.1080/00036846.2019.1646408.
Ľ. Kovanič, B. Topitzer, P. Peťovský, P. Blišťan, M. B. Gergeľová, and M. Blišťanová, “Review of Photogrammetric and Lidar Applications of UAV,” Applied Sciences, vol. 13, no. 11, p. 6732, 2023, doi: 10.3390/app13116732.
C. Altuntas, “Review of Scanning and Pixel Array-Based LiDAR Point-Cloud Measurement Techniques to Capture 3D Shape or Motion,” Applied Sciences, vol. 13, no. 11, p. 6488, 2023, doi: 10.3390/app13116488.
T. Zhou, S. M. Hasheminasab, and A. Habib, “Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 180, pp. 336–356, Oct. 2021, doi: 10.1016/j.isprsjprs.2021.08.020.
S. Riadi, “Optimization of Land and Building Tax Absorption Through 3-Dimensional Modeling and Digital Twin Visualization from Aerial Photogrammetry,” Journal of Information Systems Engineering and Management, Mar. 2025, doi: 10.52783/jisem.v10i30s.4850.
S.-K. Choi, R. A. Ramirez, and T.-H. Kwon, “Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration,” Heliyon, vol. 9, no. 9, Sep. 2023, doi: 10.1016/j.heliyon.2023.e20225.
A. Elaksher, I. Omar, D. Sanjenis, J. R. Velasco, and M. Lao, “An automated system for 2D building detection from UAV-based geospatial datasets,” Optics and Lasers in Engineering, vol. 184, p. 108602, Jan. 2025, doi: 10.1016/j.optlaseng.2024.108602.
