VOLUME COMPARISON OF AUTOMATICALLY RECONSTRUCTED MULTI-LOD BUILDING MODELS FOR URBAN PLANNING APPLICATIONS

T Q Doan,G Agugiaro,J Stoter,C León-Sánchez,R Peters

doi:10.5194/isprs-annals-v-4-2021-169-2021

Abstract

Abstract. 3D city models are playing a growing role worldwide as sources of integrated information upon which different urban applications are developed. In the context of urban planning and design, semantic 3D city models can provide plenty of qualitative and quantitative information about the urban context and of the area(s) to be transformed. This paper takes inspiration and continues a work recently published in which several design parameters and Key Performance Indicators are computed from a semantic 3D city model, and later used in a GIS-supported urban design process to develop a new area. As many of such parameters are derived from the gross volume of the building stock, this paper investigates whether and to which extent different building stock models might affect the estimation of the gross volume. The study is carried out in anticipation of the upcoming LoD2-based, country-wide model of the Netherlands that is being finalised by our team. At the same time, the paper investigates whether and which information can be obtained regarding the quality of the LoD2 model from a comparison with the LoD1 one, with a focus on volume calculation.

Highlights

Holistic urban planning requires much qualitative and quantitative knowledge of the urban context and of the area(s) to be transformed
With the described method applied to the city model of The Hague, the root mean square error (RMSE) between the lidar points and the reconstructed building solid surfaces is less than 30 cm for 98% of the points and less than 10 cm for 63% of the points
From a thematic point of view, national and local datasets containing building information were fused and integrated with the with the Amsterdam, (b) the LoD1 model from the 3D BAG dataset, (c) the volumetric model obtained from the nDSM, and (d) a comparison of the 3 models to show the differences in terms of enclosed volumes

Summary

INTRODUCTION

Holistic urban planning requires much qualitative and quantitative knowledge of the urban context and of the area(s) to be transformed. Another common problem associated with 3D city models is the lack of information (metadata) documenting, for example, the source data and the reconstruction. Process that has led to the final product (Labetski et al, 2018) This regards all possible objects in a city model, both in terms of geometry and associated thematic data – the computation of the gross volume of the building stock. The building geometries used in this paper were reconstructed using an improved version of the LoD1.3 reconstruction method described in Stoter et al (2020) This method creates building solids automatically from a set of building footprints and a classified aerial lidar point cloud. With the described method applied to the city model of The Hague, the root mean square error (RMSE) between the lidar points and the reconstructed building solid surfaces is less than 30 cm for 98% of the points and less than 10 cm for 63% of the points

VOLUME COMPARISON AND EVALUATION OF THE RECONSTRUCTED BUILDINGS

Volume comparisons based on footprint size

Volume comparisons based on building age

Spatial analysis and visualisation

Findings

CONCLUSIONS