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Quality assessment of terrestrial laser scanner surface deviation analysis in vegetation slope monitoring

Abbas, Mohd. Azwan and Chong, Albert K. and Mohamad Azmi, Mohamad Aizat Asyraff and Ahmad Fuad, Nursyahira and Aspuri, Anuar and Mohd. Salleh, Mohd. Faizi and Majid, Zulkepli and Idris, Khairulnizam M. and Opaluwa, Yusuf Drisu and Mustafar, Mohamad Asrul and Mohd. Hashim, Norshahrizan and Sulaiman, Saiful Aman (2020) Quality assessment of terrestrial laser scanner surface deviation analysis in vegetation slope monitoring. Engineering Letters, 28 (1). pp. 22-30. ISSN 1816-093X

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Official URL: http://www.engineeringletters.com/issues_v28/issue...


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.Landslide monitoring, Quality assessment

Item Type:Article
Uncontrolled Keywords:Landslide monitoring, Quality assessment
Subjects:G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:Built Environment
ID Code:91071
Deposited By: Widya Wahid
Deposited On:31 May 2021 21:29
Last Modified:31 May 2021 21:29

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