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dc.contributor.author
Van Son, Rob
dc.contributor.author
Jaw, Siow Wei
dc.contributor.author
Wieser, Andreas
dc.date.accessioned
2019-10-11T09:15:26Z
dc.date.available
2019-10-09T12:49:32Z
dc.date.available
2019-10-11T09:15:26Z
dc.date.issued
2019-09-23
dc.identifier.issn
1682-1750
dc.identifier.issn
2194-9034
dc.identifier.issn
1682-1777
dc.identifier.other
10.5194/isprs-archives-XLII-4-W15-97-2019
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/369580
dc.identifier.doi
10.3929/ethz-b-000369580
dc.description.abstract
To plan, develop, and manage underground space and make informed decisions leading to desirable outcomes, planners, land administrators, and engineers need to make sense of the underground. A reliable digital twin of the underground – a realistic, digital representation of the physical world below the surface – is required. Utilities, consisting of the pipes, ducts, cables, manholes and other assets that provide electricity, gas, water, sewerage, and telecommunication services, make up a significant portion of the shallow layers of the subsurface. A lack of reliable information on subsurface utilities may potentially lead to poor decisions leading to undesirable outcomes, lengthy and costly planning and land administration processes, and lengthy, costly, and hazardous development processes. The advent of mobile 3D ground penetrating radar technology offers the promise of non-destructive mapping of existing subsurface utilities in a large area in a relatively short amount of time and could potentially be used to improve the reliability of available information. In this work, a small number of cases studies are described at evaluating the feasibility of a large area mapping approach for subsurface utilities. Based on the results of the studies, a data capture framework for the gradual improvement of the quality of information on existing subsurface utilities is proposed.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ISPRS Council
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Underground Utility Mapping
en_US
dc.subject
3D Mapping
en_US
dc.subject
Digital Twin
en_US
dc.title
A data capture framework for improving the quality of subsurface utility information
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ethz.journal.volume
XLII-4/W15
en_US
ethz.journal.abbreviated
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
ethz.pages.start
97
en_US
ethz.pages.end
104
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
14th 3D GeoInfo Conference 2019
en_US
ethz.event.location
Singapore, Singapore
en_US
ethz.event.date
September 24-27, 2019
en_US
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03964 - Wieser, Andreas / Wieser, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03964 - Wieser, Andreas / Wieser, Andreas
en_US
ethz.date.deposited
2019-10-09T12:49:42Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-10-11T09:15:43Z
ethz.rosetta.lastUpdated
2019-10-11T09:15:43Z
ethz.rosetta.versionExported
true
ethz.COinS
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