2021
DOI: 10.5194/isprs-archives-xliii-b4-2021-301-2021
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An Extension of Cityjson to Support Point Clouds

Abstract: Abstract. The combination between dense point clouds and 3D vector objects permits new cartographic representation of urban information. This paper proposes an extension for the CityJSON encoding to support point clouds. Following the 3.0 CityGML specifications, attributes and features are added to the core module of v1.0.1 CityJSON. Two solutions are proposed: inline complex geometries and external link to a remote file. The extended schema can be illustrated in four scenarios: detailed features visualization… Show more

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Cited by 4 publications
(3 citation statements)
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“…Gains in terms of performance and capabilities are remarkable kiss‐cool effects too. For instance, proposing new extensions, and thus improving and adding features to the schema, is easier and supported in a convenient way thanks to the schema and its translation in the semi‐open database structure (Nys et al, 2021).…”
Section: Related Workmentioning
confidence: 99%
“…Gains in terms of performance and capabilities are remarkable kiss‐cool effects too. For instance, proposing new extensions, and thus improving and adding features to the schema, is easier and supported in a convenient way thanks to the schema and its translation in the semi‐open database structure (Nys et al, 2021).…”
Section: Related Workmentioning
confidence: 99%
“…Besides, the new support of 3D models in QGIS should improve its usability thanks to the development of a CityJSON plugin (Vitalis, Arroyo Ohori, & Stoter, 2020). Extensions of the core module are also a promising way to improve the CityJSON usability and its update to the 3.0 CityGML version (Nys, Kharroubi, Poux, & Billen, 2021). In summary, nowadays, the storage of CityJSON models is limited to files.…”
Section: Related Workmentioning
confidence: 99%
“…For example, the CityGML Noise Application Domain Extension (ADE) that is developed to bring analysis capabilities regarding the noise into the CityGML data model is converted to the CityJSON extension. In addition, a CityJSON extension that enhances the core model of CityJSON such that it supports the point cloud data is proposed (Nys et al., 2021). This extension aims to improve the conformality of CityJSON with CityGML 3.0 which contains the point cloud module.…”
Section: Introductionmentioning
confidence: 99%