Print Email Facebook Twitter Volume comparison of automatically reconstructed multi-lod building models for urban planning applications Title Volume comparison of automatically reconstructed multi-lod building models for urban planning applications Author Doan, Truc Quynh (Student TU Delft) León Sánchez, C.A. (TU Delft Urban Data Science) Peters, R.Y. (TU Delft Urban Data Science) Agugiaro, G. (TU Delft Urban Data Science) Stoter, J.E. (TU Delft Urban Data Science) Date 2021 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. Subject 3D BAGCityGMLLoD comparisonLoD2 reconstructionUrban planning To reference this document use: http://resolver.tudelft.nl/uuid:4dbdf83f-a149-4405-ab3a-4850d3ad45fe DOI https://doi.org/10.5194/isprs-annals-V-4-2021-169-2021 ISSN 2194-9042 Source ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 5 (4), 169-176 Event 2021 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV, 2021-07-05 → 2021-07-09, Nice, France Part of collection Institutional Repository Document type journal article Rights © 2021 Truc Quynh Doan, C.A. León Sánchez, R.Y. Peters, G. Agugiaro, J.E. Stoter Files PDF isprs_annals_V_4_2021_169_2021.pdf 1.76 MB Close viewer /islandora/object/uuid:4dbdf83f-a149-4405-ab3a-4850d3ad45fe/datastream/OBJ/view