IFCTERRAIN – A FREE AND OPEN SOURCE TOOL TO CONVERT DIGITAL TERRAIN MODELS (DTM) TO OPENBIM INDUSTRY FOUNDATION CLASSES (IFC)

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 then goes into detail on possible configurations of the transformation process. With the presented software tool IfcTerrain the user may select different export options concerning IFC object type of the terrain, geometric representation, georeferencing or the annotation with metadata. IfcTerrain is free and open source and was developed in the context of an educational institution.

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EXTRACTION AND TRANSFORMATION OF IFC DATA TO CITYGML FORMAT

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w16-595-2019 ◽

2019 ◽

Vol XLII-4/W16 ◽

pp. 595-601 ◽

Cited By ~ 1

Author(s):

M. J. Sani ◽

I. A. Musliman ◽

A. Abdul Rahman

Keyword(s):

Information Exchange ◽

Data Exchange ◽

Transformation Process ◽

Information Modeling ◽

Data Interoperability ◽

Industry Foundation Classes ◽

Gis Applications ◽

Two Systems ◽

Building Information ◽

The Difference

Abstract. The integration of Geographic Information System (GIS) and the Building Information Modeling (BIM) referred to as the merging of the two systems for the purpose of data interoperability. The need to share information between the two systems is what motivated the integration process purposely for geospatial analysis. This can be achieved through their data exchange formats such as; City Markup Language (CityGML) and Industry Foundation Classes (IFC). The formats are the two most prominent key schemas of GIS and BIM systems respectively. The integration is a step towards information exchange or sharing (data interoperability) between the two systems. The selection of the two most prominent data exchange formats is as a result of their widespread applications in the GIS and BIM domains. However, the differences in geometric and the semantics information hinders data interoperability (information sharing) between GIS and BIM. Also, coupled with the difference in schema structure and the level of information richness between IFC and CityGML. This paper, propose a geometry transformation process that can be used to extract and transform IFC building objects to that of CityGML building objects to enable 3D model design and constructed using BIM tool to be easily reused in 3D GIS applications which will be able to support the CityGML model format. Where the geometric information will be extracted using the IFC tree-structure (hierarchy) and transformed to destination CityGML.

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A Methodological Framework for Free and Open-Source UAV-Based Archaeological Research

Advances in Archaeological Practice ◽

10.1017/aap.2021.27 ◽

2021 ◽

pp. 1-8

Author(s):

Kelsey M. Reese ◽

Sean Field

Keyword(s):

High Resolution ◽

Open Source ◽

Cultural Landscapes ◽

Analytical Framework ◽

Archaeological Survey ◽

Digital Terrain Models ◽

Digital Terrain ◽

Terrain Models ◽

Processing Power ◽

Uav Images

Abstract Full-coverage pedestrian survey to record cultural features on unexplored archaeological landscapes is costly in terms of time, money, and personnel. Over the past two decades, researchers have implemented remote sensing and landscape data collection techniques using unmanned aerial vehicles (UAVs) to combat some of these burdens, but the initial cost of equipment, software, and processing power has hindered the ubiquitous implementation of UAV technology as an accessible companion tool to traditional archaeological survey. This article presents a free and open-source, technology-independent analytical framework for the collection and processing of UAV images to produce high-resolution digital terrain models limited only by the equipment available to the researcher. Results from the free and open-source protocol are directly compared to those produced using proprietary software to illustrate the capabilities of freely available data processing tools for UAV-collected images. By replicating the methods outlined here, researchers should be able to identify and target areas of interest to increase fieldwork efficiency, decrease costs of implementing this technology, and produce high-resolution digital terrain models to conduct spatial analyses that pursue a deeper understanding of cultural landscapes.

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ANALYSIS OF MULTI-YEAR DYNAMICS OF THE NDVI GROWING INDEX IN THE IREMEL NATURAL PARK FOR LOCAL FOREST MANAGEMENT USING DIGITAL TERRAIN MODELS

Астраханский вестник экологического образования ◽

10.36698/2304-5957-2020-19-3-140-149 ◽

2020 ◽

Vol 19 (3) ◽

pp. 140-149

Author(s):

Inber Yaparov ◽

◽

Ildar Vildanov ◽

Elza Bashirova ◽

Rinat Gumerov ◽

...

Keyword(s):

Forest Management ◽

Digital Terrain Models ◽

Digital Terrain ◽

Natural Park ◽

Terrain Models

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A Common Approach to Geo-Referencing Building Models in Industry Foundation Classes for BIM/GIS Integration

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10060362 ◽

2021 ◽

Vol 10 (6) ◽

pp. 362

Author(s):

Junxiang Zhu ◽

Peng Wu

Keyword(s):

Building Information Modeling ◽

Information Modeling ◽

Industry Foundation Classes ◽

Spatial Reference ◽

Reference Information ◽

Building Models ◽

Digital Twins ◽

Gis Data ◽

Gis Integration ◽

Building Information

Previous geo-referencing approaches for building information modeling (BIM) models can be problematic due to: (a) the different interpretations of the term ‘geo-referencing’, (b) the insufficient consideration of the placement hierarchy of the industry foundation classes (IFCs), and (c) the misunderstanding that a common way to embed spatial reference information for IFC is absent. Therefore, the objective of this study is to (1) clarify the meaning of geo-referencing in the context of BIM/GIS data integration, and (2) develop a common geo-referencing approach for IFC. To achieve the goal, a systematic and thorough investigation into the IFC standard was conducted to assess the geo-referencing capability of IFC. Based on the investigation, a geo-referencing approach was established using IFC entities that are common in different IFC versions, which makes the proposed approach common to IFC. Such a geo-referencing approach supports automatic geo-referencing that would facilitate the use of BIM models in GIS, e.g., for the construction of digital twins.

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