Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/754
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dc.contributor.authorEyo, Etim-
dc.contributor.authorTajul, Musa-
dc.contributor.authorAbdullah, Omar-
dc.contributor.authorKhairulnizam, M. Idris-
dc.contributor.authorNanpon, Zitta-
dc.contributor.authorAjayi, Oluibukun Gbenga-
dc.date.accessioned2021-06-02T10:22:41Z-
dc.date.available2021-06-02T10:22:41Z-
dc.date.issued2015-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/754-
dc.descriptionEtim Eyo, Tajul Musa, Abdullah Omar, Khairulnizam M. Idris, Nanpon Zitta and Oluibukun Ajayi (2015). Development of Landslide Deformation Monitoring and Analysis System: A Proof of Concept Study. Research Journal of Applied Sciences, Engineering and Technology, 11(9), 927-933.en_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.subjectKalmer filteren_US
dc.subjectDeformation modellingen_US
dc.subjectLandslideen_US
dc.subjectKinematic deformation modellingen_US
dc.titleDevelopment of Landslide Deformation Monitoring and Analysis System: A Proof of Concept Study.en_US
dc.typeArticleen_US
Appears in Collections:Surveying & Geoinformatics

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