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     Research Journal of Applied Sciences, Engineering and Technology


Development of Landslide Deformation Monitoring and Analysis System: A Proof of Concept Study

1Etim Eyo, 1Tajul Musa, 1Abdullah Omar, 1Khairulnizam M. Idris, 2Nanpon Zitta and 2Oluibukun Ajayi
1Department of Geomatic Engineering, Faculty of Geo Information and Real Estate, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
2Department of Surveying and Geoinformatics, School of Environmental Technology, Federal University of Technology, Minna, Nigeria
Research Journal of Applied Sciences, Engineering and Technology   2015  9:927-933
http://dx.doi.org/10.19026/rjaset.11.2132  |  © The Author(s) 2015
Received: February ‎6, ‎2015  |  Accepted: March ‎1, ‎2015  |  Published: November 25, 2015

Abstract

This study introduces a novel landslide monitoring and analysis system, LANSDEMAS. LANSDEMAS is a kinematic deformation analysis model, developed using Kalman filtering procedures and implemented on MATLAB. This study describes the first deformation monitoring and analysis experiment conducted to validate the performance of LANSDEMAS. The experiment was conducted in the 3-D Measurement Laboratory, Department of Geomatic Engineering, Universiti Teknologi Malaysia using Leica TCA2003 Robotic Total Station. In the simulated deformation monitoring experiment, different magnitudes of millimeter-level artificial deformations were applied to four monitored points. The results of the computed movement parameters show that LANSDEMAS accurately detected the introduced deformations and has demonstrated the potential to meet the requirements for landslide deformation monitoring and analysis.

Keywords:

Deformation monitoring experiment, Kalman filter, kinematic deformation model, landslide, LANSDEMAS, robotic total station,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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