Applied Geomatics - Call for Papers : On the Contributions of Geospatial Technologies to Building Information Modelling (BIM)
Modern geospatial methods such as laser scanning and digital photogrammetry can provide high resolution and high accuracy point clouds which provide a 3D capture of the real world and can be used to derive models of existing objects of various dimensions. Modern mapping systems employing a multitude of sensors, including scanners and digital cameras, produce large amounts of data and new and innovative methods for the efficient analyses, 3D modelling or service provision are necessary. Here of interest is the capture of assets such as buildings and infrastructure, which are more and more designed, constructed, maintained and may even one day be deconstructed by the use of Building Information Modelling (BIM).
This new method aims at digitally modelling of all features of a building or infrastructure throughout its full lifecycle by creating a digital twin. Using this digitized representation, processes during project delivery, asset operation and services can be optimized. In order to do so, it is often required to capture the 3D geometry of existing building stock or update and compare the design geometry with the real geometry of an object, in case of, for example, “as built” documentation. Furthermore, for large infrastructure projects, it may be advantageous to combine BIM with a Geographical Information System (GIS), bridging high-resolution information in BIM with the large spatial extent of GIS. Such a combination of BIM/GIS in connection to Internet-of-Things (IoT) sensors, essentially driven by geospatial technology and associated methods, are fundamental to SmartCity applications or power distribution networks.
This special issue of the Journal of Applied Geomatics aims at exploring and highlighting leading research in the context of contributions from geospatial technologies in connection with the provision of accurate as-built geometry of buildings and infrastructure for BIM and BIM/GIS.
Potential topics include but are not limited to:
• innovative geospatial technology for 3D data capture (laser scanning, digital photogrammetry, GNSS, IMU and combinations thereof)
• innovative methods and services for the analyses of geospatial data (digital imagery, point clouds, modelling of geometric features)
• common geospatial data environments for applications in BIM and BIM/GIS
• geospatial data analytics and data management about BIM and BIM/GIS
• artificial intelligence, data snooping, context-aware analytics in the geospatial domain
• cloud and big data approaches as well as Block-chain technologies relevant to BIM and BIM/GIS
• innovative use of these methods and its effect on collaboration, coordination and integration
The content published in this journal is peer reviewed (Single Blind).
Please follow the link here (this opens in a new tab) to submit.
GUEST EDITORS
Dr. Felix Norman Teferle (Professor in Geodesy, Faculty of Science, Technology and Communication, University of Luxembourg),
Dr. Llewellyn Tang (Associate Professor in BIM, Department of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong)