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, fall-back solution in features reconstruction processes, simulating urban climate represented as vector fields, and true-to-life representation solution for complex elements such as solitary vegetation objects. It permits 3D city modelers to handle points clouds in a native way reducing files size and avoiding redundancy. All developments and documentation are available open-source.

Highlights

  • Still, this conceptual change needs to be translated into a practical solution

  • While benefitting the CityJSON encoding, the necessity to support 3D Point Clouds should be investigated in line with the 3.0 version of CityGML

  • This section states the different choices and decisions that lead to creating the point cloud extension for v1.0.1 CityJSON

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Summary

Introduction

This conceptual change needs to be translated into a practical solution. Besides, the current version of CityJSON (v1.0.1) implements most of the CityGML v2.0 data model using the lightweight JSON encoding of the CityGML data model (Ledoux et al, 2019). While benefitting the CityJSON encoding, the necessity to support 3D Point Clouds should be investigated in line with the 3.0 version of CityGML. The paper aims to propose the translation of the new point cloud module of CityGML v3.0 into a CityJSON extension. This integrated 3D point cloud support solves several problems encountered in the last years, as illustrated in the use cases. The rest of the paper is organized as follows: in section 2, we present a state-of-the-art management of point clouds in web geographical information systems.

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