Please use this identifier to cite or link to this item:
Title: Simulating Large-Scale 3D Cadastral Dataset Using Procedural Modelling
Authors: Tekavec, Jernej
Lisec, Anka
Rodrigues, Eugénio 
Keywords: Building models; 3D cadastral system; Procedural modelling; 3D visualisation; SQL
Issue Date: 11-Oct-2020
Publisher: MDPI
Serial title, monograph or event: ISPRS International Journal of Geo-Information
Volume: 9
Issue: 10
Abstract: Geospatial data and information within contemporary land administration systems are fundamental to manage the territory adequately. 3D land administration systems, often addressed as 3D cadastre, promise several benefits, particularly in managing today’s complex built environment, but these are currently still non-existent in their full capacity. The development of any complex information and administration system, such as a land administration system, is time-consuming and costly, particularly during the phase of evaluation and testing. In this regard, the process of implementing such systems may benefit from using synthetic data. In this study, the method for simulating the 3D cadastral dataset is presented and discussed. The dataset is generated using a procedural modelling method, referenced to real cadastral data for the Slovenian territory and stored in a spatial database management system (DBMS) that supports storage of 3D spatial data. Spatial queries, related to 3D cadastral data management, are used to evaluate the database performance and storage characteristics, and 3D visualisation options. The results of the study show that the method is feasible for the simulation of large-scale 3D cadastral datasets. Using the developed spatial queries and their performance analysis, we demonstrate the importance of the simulated dataset for developing efficient 3D cadastral data management processes
DOI: 10.3390/ijgi9100598
Rights: openAccess
Appears in Collections:I&D ADAI - Artigos em Revistas Internacionais

Show full item record


checked on Jul 1, 2024


checked on Jul 2, 2024

Page view(s)

checked on Jul 9, 2024


checked on Jul 9, 2024

Google ScholarTM




This item is licensed under a Creative Commons License Creative Commons