2021
DOI: 10.1007/978-3-030-78901-5_16
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Enhancing SmartKADASTER 3D City Model with Stratified Information in Supporting Smart City Enablement

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Cited by 4 publications
(3 citation statements)
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“…LOD 0-4 of CityGML with its accuracy requirements [9]. This paper builds on previous publications [1,[10][11][12][13][14] on 3D geovisualisation in the SmartKADASTER Phase II environment. This paper aims to discuss the implications of automatically extruding the LoD1 height reference from the LoD0 height reference using only the classified ALS point cloud of a building.…”
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confidence: 87%
“…LOD 0-4 of CityGML with its accuracy requirements [9]. This paper builds on previous publications [1,[10][11][12][13][14] on 3D geovisualisation in the SmartKADASTER Phase II environment. This paper aims to discuss the implications of automatically extruding the LoD1 height reference from the LoD0 height reference using only the classified ALS point cloud of a building.…”
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confidence: 87%
“…The third approach is extending existing data models to cover all data requirements. For example, some studies extended IFC (Atazadeh, Kalantari, Rajabifard, Ho, et al, 2017;Atazadeh, Kalantari, Rajabifard, Ho, & Champion, 2017) and CityGML (Halim et al, 2021;Nega & Coors, 2022;Saeidian et al, 2023aSaeidian et al, , 2023bSiew et al, 2021) to create a 3D integrated data model and reported this as a viable approach to develop a 3D integrated model. Although these studies developed a 3D integrated data environment, they only considered physical and legal data without incorporating survey data elements into the developed integrated model.…”
Section: Current S Tandards For Modelling Underg Round S U Rv E Y Datamentioning
confidence: 99%
“…In this regard, a range of CityGML Application Domain Extensions (ADEs) has been developed in several domains (Biljecki et al, 2018). Some studies have also investigated and suggested CityGML for land administration purposes (Halim et al, 2021;Nega & Coors, 2022;Saeidian et al, 2023aSaeidian et al, , 2023bSiew et al, 2021). However, this data model does not support cadastral survey elements in the current version (CityGML 3.0) and the studies also ignored defining these elements in the proposed…”
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confidence: 99%