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dc.contributor.authorTy A. Lasky
dc.contributor.authorTravis B. Swanston
dc.contributor.authorKin Sing Yen
dc.date.accessioned2022-01-31T23:50:31Z
dc.date.available2022-01-31T23:50:31Z
dc.date.issued2/1/2021
dc.identifier.other%28ASCE%29SU.1943-5428.0000330.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270447
dc.description.abstractThis case study examines two essential aspects of mobile terrestrial laser scanning (MTLS). First, it provides results of an investigation into key data management issues experienced by a fairly large producer/consumer of MTLS data. Second, it documents the requirements, design, and implementation of a software tool for automated metadata cataloging of MTLS data and projects. This tool, known as LidarCrawl, was developed to directly address data management issues encountered in the distribution and reuse of MTLS data. This tool enables a geospatial-enabled web-based portal to view MTLS data availability and improves data discovery and usage for all MTLS user levels. While the current case study focuses on the management of MTLS data for the Department of Transportation, the tool provides a means for automated metadata cataloging for general geospatial data in various domains.
dc.publisherASCE
dc.titleAutomated Metadata Cataloging for Mobile Terrestrial Laser Scanning Data Management: Case Study
dc.typeJournal Paper
dc.journal.volume147
dc.journal.issue1
dc.journal.titleJournal of Surveying Engineering
dc.identifier.doi10.1061/(ASCE)SU.1943-5428.0000330
dc.journal.fristpage05020008-1
dc.journal.lastpage05020008-12
dc.page12
dc.treeJournal of Surveying Engineering:;2021:;Volume ( 147 ):;issue: 001
dc.contenttypeFulltext


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