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.
Highlights
Landslide is defined as ‘‘the movement of a mass of rock, debris, or earth down a slope’’ (Cruden, 1991)
Landslide monitoring and analysis can aid in detecting critical displacements before the slope reaches its failure stage and can provide vital information for prevention of human and economic losses and mitigation of damages to valuable public infrastructure and utilities
This study is focused on the development of a novel Landslide Deformation Monitoring and Analysis System (LANSDEMAS)
Summary
Landslide is defined as ‘‘the movement of a mass of rock, debris, or earth down a slope’’ (Cruden, 1991). Landslide is difficult to predict in time and in space This is because landslide occurrence depends on complex interaction of many factors, namely slope, soil properties, elevation, land cover and lithology, among others (Dai and Lee, 2002). Guzzetti (2005) identified a large spectrum of the landslide phenomena, which are diverse and complex in nature. This spectrum includes: landslide length, landslide area/volume, landslide velocity, total number of landslides, triggering time and landslide lifetime. These diverse and complex factors make it practically difficult to adopt a particular technique and instrumentation to map and monitor landslides
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