Deformation monitoring and recognition of surface mine slope using LiDAR

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Abstract

Time dependent deformation is a common process in soil slopes but never the less a challenging task for stability assessment. Slope failure and the land subsidence can adversely influence environment, human safety and economic development. In order to achieve management and mitigation of soil slope failure, it is essential to employ remote sensing technology with high-resolution monitoring ability in dangerous area. In the present research, terrestrial laser scanning (TLS) was applied to a fresh cut high slope of sandy and clayey soils in a surface mine. In detail, four scanning campaigns have been conducted over a period of 3 months. Two sophisticated techniques programmed in Matlab, i.e. both maximum distance method and feature degree method, were proposed to deal with a large number of collected data and recognize the slope displacement in mm resolution. The resultant deformation is a basis to perform back analysis for adequate geotechnical parameters, and to determine the factor of safety (FOS) of the slope. .

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Hu, H., Fernandez-Steeger, T. M., Dong, M., & Azzam, R. (2015). Deformation monitoring and recognition of surface mine slope using LiDAR. In Engineering Geology for Society and Territory - Volume 2: Landslide Processes (pp. 451–454). Springer International Publishing. https://doi.org/10.1007/978-3-319-09057-3_73

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