A metadata ADE for CityGML

Journal Article (2018)
Authors

A. Labetski (TU Delft - Urban Data Science)

K. Kavisha (TU Delft - Urban Data Science)

Hugo Ledoux (TU Delft - Urban Data Science)

J. Stoter (TU Delft - Urban Data Science)

Research Group
Urban Data Science
Copyright
© 2018 A. Labetski, Kavisha Kumar, H. Ledoux, J.E. Stoter
To reference this document use:
https://doi.org/10.1186/s40965-018-0057-4
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 A. Labetski, Kavisha Kumar, H. Ledoux, J.E. Stoter
Research Group
Urban Data Science
Volume number
3
DOI:
https://doi.org/10.1186/s40965-018-0057-4
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Abstract

While there exist international standards for geospatial metadata (ISO 19115), these are rarely used in practice for 3D datasets, and one of the OGC standards for 3D city models, CityGML, does not offer a mechanism to store metadata in a structured way. Having metadata in CityGML files, which are in practice often very large and complex, would provide us with the ability to quickly understand the nature of a dataset and to determine if it is relevant for a specific task. Alack of metadata introduces uncertainty into models that are already full of assumptions and estimations. In this paper, we first examine the metadata needs that are specific for 3D geographical datasets and propose ISO 19115compliant categories. We then describe how these can be used within CityGML by defining an Application DomainExtension (ADE), which allows us to store metadata for existing city objects of CityGML, as well as objects in other domain-specific ADEs. Our ADE, its schema in both UML and XSD, and sample datasets is openly accessible, and it can be easily extended to support application specific metadata. In addition the metadata elements have been added to the core of CityJSON. We also offer software to generate automatically many of the metadata categories and we propose coupling it with the source 3D dataset.