Quality Assessment of Terrestrial Laser Scanner Surface Deviation Analysis in Vegetation Slope Monitoring
Article
Article Title | Quality Assessment of Terrestrial Laser Scanner Surface Deviation Analysis in Vegetation Slope Monitoring |
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ERA Journal ID | 124763 |
Article Category | Article |
Authors | Abbas, Mohd Azwan, Chong, Albert K., Aizat, Mohamad Aizat Asyraff Mohamad, Fuad, Nursyahira Ahmad, Aspuri, Anuar, Salleh, Mohd Faizi Mohd, Majid, Zulkepli, Idris, Khairulnizam M., Opaluwa, Yusuf Drisu, Mustafar, Mohamad Asrul, Hashim, Norshahrizan Mohd and Sulaiman, Saiful Aman |
Journal Title | Engineering Letters |
Journal Citation | 28 (1), pp. 22-30 |
Number of Pages | 9 |
Year | 2020 |
Publisher | International Association of Engineers |
Place of Publication | Hong Kong |
ISSN | 1816-093X |
1816-0948 | |
Web Address (URL) | https://www.engineeringletters.com/issues_v28/issue_1/index.html |
Abstract | Mechanised with ability to rapidly acquire three-dimensional (3D) data using non-contact measurement, terrestrial laser scanner (TLS) has become an option in landslide monitoring. Dense 3D point clouds provided from TLS has enable surface deviation analysis to rigidly examine the displacement that occurred on the monitored object. However, the existence of vegetation on land slope has become uncertainty in TLS measurement for landslide monitoring. To concretely measure the effect of vegetation, this study has performed two epoch landslide monitoring using tacheometry (for benchmarking) and TLS (Topcon GLS-2000) at Kulim Techno City, Kedah, Malaysia. Sixteen (16) artificial targets were well-distributed on the slope to determine the accuracy of the employed TLS, evaluate the capability of TLS to determine the stability of the slope and scrutinise the significant of vegetation uncertainties in TLS measurement. Results obtained revealed that Topcon GLS-2000 manage to obtained results that are statistically similar to tacheometry and provides 0.006m of accuracy. However, the presence of high incidence angles in TLS measurement has limited the capability to identify the significant displacement of the targets. With the aid of F-variance ratio test, the study has statistically proved that vegetation uncertainty is able to decrease the quality of TLS data. |
Keywords | Landslide monitoring; Quality assessment; Surface deviation; Terrestrial laser scanner |
ANZSRC Field of Research 2020 | 4013. Geomatic engineering |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Funder | Universiti Teknologi MARA |
Byline Affiliations | MARA University of Technology, Malaysia |
School of Surveying and Built Environment | |
University of Technology Malaysia, Malaysia | |
Federal University of Technology, Nigeria |
https://research.usq.edu.au/item/yyv4x/quality-assessment-of-terrestrial-laser-scanner-surface-deviation-analysis-in-vegetation-slope-monitoring
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