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Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS

Department of Geoinformatics, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland
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ISPRS Int. J. Geo-Inf. 2019, 8(3), 144; https://doi.org/10.3390/ijgi8030144
Received: 5 February 2019 / Revised: 11 March 2019 / Accepted: 15 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue Multidimensional and Multiscale GIS)
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Abstract

The rapid increase in applications of Light Detection and Ranging (LiDAR) scanners, followed by the development of various methods that are dedicated for survey data processing, visualization, and dissemination constituted the need of new open standards for storage and online distribution of collected three-dimensional data. However, over a decade of research in the area has resulted in a number of incompatible solutions that offer their own ways of disseminating results of LiDAR surveys (be it point clouds or reconstructed three-dimensional (3D) models) over the web. The article presents a unified system for remote processing, storage, visualization, and dissemination of 3D LiDAR survey data, including 3D model reconstruction. It is built with the use of open source technologies and employs open standards, such as 3D Tiles, LASer (LAS), and Object (OBJ) for data distribution. The system has been deployed for automatic organization, processing, and dissemination of LiDAR surveys that were performed in the city of Gdansk. The performance of the system has been measured using a selection of LiDAR datasets of various sizes. The system has shown to considerably simplify the process of data organization and integration, while also delivering tools for easy discovery, inspection, and acquisition of desired datasets. View Full-Text
Keywords: GIS; Web-GIS; LiDAR; visualization; processing; reconstruction GIS; Web-GIS; LiDAR; visualization; processing; reconstruction
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Kulawiak, M.; Kulawiak, M.; Lubniewski, Z. Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS. ISPRS Int. J. Geo-Inf. 2019, 8, 144.

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