ADDRESSING THE ELEPHANT IN THE UNDERGROUND: AN ARGUMENT FOR THE INTEGRATION OF HETEROGENEOUS DATA SOURCES FOR RECONCILIATION OF SUBSURFACE UTILITY DATA

Lasse H. Hansen, Rob van Son, Andreas Weiser, Erik Kjems

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

In this paper we address the issue of unreliable subsurface utility information. Data on subsurface utilities are often positionally inaccurate, not up to date, and incomplete, leading to increased uncertainty, costs, and delays incurred in underground-related projects. Despite opportunities for improvement, the quality of legacy data remains unaddressed. We address the legacy data issue by making an argument for an approach towards subsurface utility data reconciliation that relies on the integration of heterogeneous data sources. These data sources can be collected at opportunities that occur throughout the life cycle of subsurface utilities and include as-built GIS records, GPR scans, and open excavation 3D scans. By integrating legacy data with newly captured data sources, it is possible to verify, (re)classify and update the data and improve it for future use. To demonstrate the potential of an integration-driven data reconciliation approach, we present real-world use cases from Denmark and Singapore. From these cases, challenges towards implementation of the approach were identified that include a lack of technological readiness, a lack of incentive to capture and share the data, increased cost, and data sharing concerns. Future research should investigate in detail how various data sources lead to improved data quality, develop a data model that brings together all necessary data sources for integration, and a framework for governance and master data management to ensure roles and responsibilities can be feasibly enacted.
Original languageEnglish
Title of host publicationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Number of pages6
Volume46
Publication dateOct 2021
Edition4/W4-2021
Pages43–48
DOIs
Publication statusPublished - Oct 2021
Event16th 3D Geo Info Conference - New York (online), New York, United States
Duration: 11 Oct 202114 Oct 2021
https://3dgeoinfo2021.github.io

Conference

Conference16th 3D Geo Info Conference
LocationNew York (online)
Country/TerritoryUnited States
CityNew York
Period11/10/202114/10/2021
Internet address
SeriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Number4/W4
VolumeVolume XLVI
ISSN1682-1750

Keywords

  • Data fusion
  • Data quality
  • Geospatial data integration
  • Underground infrastructure modelling

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