2021
DOI: 10.5194/isprs-annals-viii-4-w2-2021-145-2021
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Ifcterrain – A Free and Open Source Tool to Convert Digital Terrain Models (Dtm) to Openbim Industry Foundation Classes (Ifc)

Abstract: Abstract. Digital Terrain Models (DTM) play an important role for digital twins of the built environment. However, if the Building Information Modeling method (BIM) is used, many engineers find it difficult to provide BIM-compliant terrain models. We present a small tool with which classic DTM, which have been created by landsurveyors or geospatial engineers, can be converted into the format Industry Foundation Classes (IFC) in order to be used in openBIM projects. This paper first clarifies the use cases and … Show more

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Cited by 2 publications
(2 citation statements)
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“…Currently, many studies developing converters of data, for example, between BIM and GIS already consider several of the listed aspects together, most frequently the data format and data schema/semantics are taken into account (Barbato et al, 2018; Clemen et al, 2021; Salheb et al, 2020; Stouffs et al, 2018) and in the most advanced cases also the transformation of geometries according to the required representation paradigm (Donkers et al, 2016; Olsson et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Currently, many studies developing converters of data, for example, between BIM and GIS already consider several of the listed aspects together, most frequently the data format and data schema/semantics are taken into account (Barbato et al, 2018; Clemen et al, 2021; Salheb et al, 2020; Stouffs et al, 2018) and in the most advanced cases also the transformation of geometries according to the required representation paradigm (Donkers et al, 2016; Olsson et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…account (Barbato et al, 2018;Clemen et al, 2021;Salheb et al, 2020;Stouffs et al, 2018) and in the most advanced cases also the transformation of geometries according to the required representation paradigm (Donkers et al, 2016;Olsson et al, 2019).…”
Section: An Overall Workflowmentioning
confidence: 99%