Monitoring of a rockfill embankment dam using TLS and sUAS point clouds
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Authors
Bolkas, Dimitrios
O’Banion, Matthew S.
Laughlin, Jordan
Prickett, Jakeb
Issue Date
2024-06-14
Type
Journal articles
Language
Keywords
dam monitoring , sUAS , TLS , point clouds , M3C2 , Accuracy
Alternative Title
Abstract
Terrestrial laser scanning (TLS) and camera-equipped small unmanned aircraft systems (sUAS) are two methods that are often used to produce dense point clouds for several monitoring applications. This paper compares the two methods in their ability to provide accurate monitoring information for rockfill embankment dams. We compare the two methods in terms of their uncertainty, data completeness, and field data acquisition/processing challenges. For both datasets, we derive an error budget that considers registration and measurement uncertainty. We also proceed to merge the TLS and sUAS data and leverage the advantages of each method. Furthermore, we conduct an analysis of the multiscale model-to-model cloud comparison (M3C2) input parameters, namely projection scale, normal scale, and sub-sampling of the reference point cloud, to show their effect on the M3C2 distance estimation. The theoretical methodologies and practical considerations of this paper can assist surveyors, who conduct monitoring of rockfill embankment dams using point clouds, in establishing reliable change/deformation estimations.
Description
Citation
Bolkas, Dimitrios, O’Banion, Matthew, Laughlin, Jordan and Prickett, Jakeb. "Monitoring of a rockfill embankment dam using TLS and sUAS point clouds" Journal of Applied Geodesy 19, no. 1 (2025): 75-93. https://doi.org/10.1515/jag-2023-0038
Publisher
Walter de Gruyter GmbH
License
Journal
Volume
Issue
PubMed ID
ISSN
1862-9016
1862-9024
1862-9024