CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING

Since 2014, the Land Survey Division of Singapore Land Authority (SLA) has spearheaded a Whole-of-Government (WOG) 3D mapping project to create and maintain a 3D national map for Singapore. The implementation of the project is divided into two phases. The first phase of the project, which was base...

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Main Authors: K. H. Soon, V. H. S. Khoo
Format: Article
Language:English
Published: Copernicus Publications 2017-10-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W7/37/2017/isprs-archives-XLII-4-W7-37-2017.pdf
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author K. H. Soon
V. H. S. Khoo
author_facet K. H. Soon
V. H. S. Khoo
author_sort K. H. Soon
collection DOAJ
description Since 2014, the Land Survey Division of Singapore Land Authority (SLA) has spearheaded a Whole-of-Government (WOG) 3D mapping project to create and maintain a 3D national map for Singapore. The implementation of the project is divided into two phases. The first phase of the project, which was based on airborne data collection, has produced 3D models for Relief, Building, Vegetation and Waterbody. This part of the work was completed in 2016. To complement the first phase, the second phase used mobile imaging and scanning technique. This phase is targeted to be completed by the mid of 2017 and is creating 3D models for Transportation, CityFurniture, Bridge and Tunnel. The project has extensively adopted the Open Geospatial Consortium (OGC)'s CityGML standard. Out of 10 currently supported thematic modules in CityGML 2.0, the project has implemented 8. The paper describes the adoption of CityGML in the project, and discusses challenges, data validations and management of the models.
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spelling doaj.art-c008463970574e6fbb4dc29105a66ac42022-12-22T01:15:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-10-01XLII-4-W7374210.5194/isprs-archives-XLII-4-W7-37-2017CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPINGK. H. Soon0V. H. S. Khoo1Land Survey Division, Singapore Land Authority, 55 Newton Road, #12-01, 307987 SingaporeLand Survey Division, Singapore Land Authority, 55 Newton Road, #12-01, 307987 SingaporeSince 2014, the Land Survey Division of Singapore Land Authority (SLA) has spearheaded a Whole-of-Government (WOG) 3D mapping project to create and maintain a 3D national map for Singapore. The implementation of the project is divided into two phases. The first phase of the project, which was based on airborne data collection, has produced 3D models for Relief, Building, Vegetation and Waterbody. This part of the work was completed in 2016. To complement the first phase, the second phase used mobile imaging and scanning technique. This phase is targeted to be completed by the mid of 2017 and is creating 3D models for Transportation, CityFurniture, Bridge and Tunnel. The project has extensively adopted the Open Geospatial Consortium (OGC)'s CityGML standard. Out of 10 currently supported thematic modules in CityGML 2.0, the project has implemented 8. The paper describes the adoption of CityGML in the project, and discusses challenges, data validations and management of the models.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W7/37/2017/isprs-archives-XLII-4-W7-37-2017.pdf
spellingShingle K. H. Soon
V. H. S. Khoo
CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING
title_full CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING
title_fullStr CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING
title_full_unstemmed CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING
title_short CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING
title_sort citygml modelling for singapore 3d national mapping
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W7/37/2017/isprs-archives-XLII-4-W7-37-2017.pdf
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