The development of multi-scale data management for CityGML-based 3D buildings

• Autorzy: Karim Hairi , Rahman Alias Abdul , Azri Suhaibah , Halim Zurairah

Identyfikatory

DOI

10.7494/geom.2022.16.1.71

• Języki publikacji: EN

Abstrakty

EN

The CityGML model is now the norm for smart city or digital twin city development for better planning, management, risk-related modelling and other applications. CityGML comes with five levels of detail (LoD), mainly constructed from point cloud measurements and images of several systems, resulting in a variety of accuracies and detailed models. The LoDs, also known as pre-defined multi-scale models, require large storage-memory-graphic consumption compared to single scale models. Furthermore, these multi-scales have redundancy in geometries, attributes, are costly in terms of time and workload in updating tasks, and are difficult to view in a single viewer. It is essential for data owners to engage with a suitable multi-scale spatial management solution in minimizes the drawbacks of the current implementation. The proper construction, control and management of multi-scale models are needed to encourage and expedite data sharing among data owners, agencies, stakeholders and public users for efficient information retrieval and analyses. This paper discusses the construction of the CityGML model with different LoDs using several datasets. A scale unique ID is introduced to connect all respective LoDs for cross-LoD information queries within a single viewer. The paper also highlights the benefits of intermediate outputs and limitations of the proposed solution, as well as suggestions for the future.

Słowa kluczowe

EN

CityGML; Level of Details (LoD); multi-scale; scale unique ID; cross-scale query; spatial scale data management

• Wydawca: AGH University of Science and Technology Press
• Czasopismo: Geomatics and Environmental Engineering
• Rocznik: 2022
• Tom: Vol. 16, no. 1
• Strony: 71--94
• Opis fizyczny: Bibliogr. 23 poz., fot.

Twórcy

autor

Karim Hairi

• Universiti Teknologi Malaysia, Faculty of Built Environment and Survey (FABU), 3DGISLab, JohorBahru, Malaysia

• https://orcid.org/0000-0002-4948-4232

autor

Rahman Alias Abdul

• Universiti Teknologi Malaysia, Faculty of Built Environment and Survey(FABU), 3DGISLab, JohorBahru, Malaysia

• https://orcid.org/0000-0001-5263-8266

autor

Azri Suhaibah

• Universiti Teknologi Malaysia, Faculty of Built Environment and Survey(FABU), 3DGISLab, JohorBahru, Malaysia

• https://orcid.org/0000-0001-7926-9608

autor

Halim Zurairah

• Cadastral Division, Department of Survey and Mapping Malaysia(JUPEM), Kuala Lumpur, Malaysia

• https://orcid.org/0000-0003-3650-9485

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023)