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Spatial Interpolation of Bridge Scour Point Cloud Data Using Ordinary Kriging Method

dc.contributor.authorShanmugam, Navanit Sri
dc.contributor.authorChen, Shen-En
dc.contributor.authorTang, Wenwu
dc.contributor.authorChavan, Vidya Subhash
dc.contributor.authorDiemer, John
dc.contributor.authorAllan, Craig
dc.contributor.authorShukla, Tarini
dc.contributor.authorChen, Tianyang
dc.contributor.authorSlocum, Zachery
dc.contributor.authorJanardhanam, R.
dc.date.accessioned2026-08-20T11:57:23Z
dc.date.available2026-08-20T11:57:23Z
dc.date.copyright2024/10/17
dc.date.issued2025
dc.identifier.otherJPCFEV.CFENG-4218.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312895
dc.description.abstractAbstractScour is a critical condition change for a bridge hydraulic system, and terrestrial light detection and ranging (LiDAR) scans have been suggested as a way to quantify the scour conditions. With LiDAR point cloud data, a temporal record of scour ...
dc.publisherAmerican Society of Civil Engineers
dc.titleSpatial Interpolation of Bridge Scour Point Cloud Data Using Ordinary Kriging Method
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue1
dc.journal.titleJournal of Performance of Constructed Facilities
dc.identifier.doi10.1061/JPCFEV.CFENG-4218
dc.journal.fristpage06024002-1
dc.journal.lastpage06024002-8
dc.page8
dc.treeJournal of Performance of Constructed Facilities:;2025:;Volume ( 039 ):;issue: 001
dc.contenttypeFulltext


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