Weak foliated rock slope stability analysis with ultra-close-range terrestrial digital photogrammetry

Alameda-Hernández, Pedro; Hamdouni, Rachid El; Irigaray, Clemente; Chacón, José Luis Torres

doi:10.1007/s10064-017-1119-z

Cited by 20 publications

(4 citation statements)

References 44 publications

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“…This advancement fosters a plethora of analytical algorithms designed to determine the information pertinent to the object to be photographed, such as shape, size, spatial location, texture, and color [23,24]. Alameda-Hernandez et al [25] used the spatial backward/forward rendezvous method in combination with image resolution to assess the slope stability of a weak foliated rocky slope in Andalusia, Spain. Xiao et al [26] adopted direct linear transformation to analyze the geometric information changes of transmission towers, allowing for obtaining their full-field 3D deformation under different loads.…”

Section: Introductionmentioning

confidence: 99%

Methods and research for deformation monitoring of earth and rock dams based on close-range photogrammetry

Wang,

Cheng,

Xiong

et al. 2024

Meas. Sci. Technol.

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Traditional means of monitoring deformation in earth and rock dams encounter challenges such as low monitoring efficiency and limited coverage. Despite the potential of emerging technologies such as GPS and three-dimensional laser scanning, their adoption is expensive and hard to promote. This paper presents a deformation monitoring method for earth and rock dams based on the close-range photogrammetry technique. The proposed approach focuses on analytical algorithm the design and deployment of monitoring points, photographic schemes, camera checking and calibration, as well as deformation analysis methods. Initially, based on the analysis of the parsing algorithms’ applicability, they are fused to address the shortcomings of common image parsing methods in meeting the requirements of high precision and multi-image processing for deformation monitoring of earth and rock dams. Subsequently, the fused algorithm is introduced to analyze the acquired image data for 3D reconstruction, and the deformation in earth and rock dams is assessed based on the generated dense point cloud model. The proposed deformation monitoring method is applied to Pine Bridge Reservoir Dam, and the results demonstrated its capacity to comprehensively analyze the deformation. Furthermore, the required equipment is simple and easy to operate, aligning with the requirements for deformation monitoring accuracy of earth and rock dams.

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Section: Introductionmentioning

confidence: 99%

Methods and research for deformation monitoring of earth and rock dams based on close-range photogrammetry

Wang,

Cheng,

Xiong

et al. 2024

Meas. Sci. Technol.

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“…Moreover, attempts to identify the extent of potentially detachable rock masses directly on a 3D point cloud environment are scarce (Bonneau et al 2019;Chen et al 2017;Farmakis et al 2020;Menegoni et al 2020). For instance, recent studies on kinematic stability analysis consider the angular relationship between the rock mass discontinuities and the slope in stereogram plotting (Alameda-Hernández et al 2019;Menegoni et al 2019;Wang et al 2019), but the extent of the areas to be affected on the point cloud cannot be directly deducted from that. Such information is important for an effective rockfall hazard analysis, where usually the source areas are not refined across the slope, and could therefore compromise the propagation results.…”

Section: Introductionmentioning

confidence: 99%

Identification of potential rockfall sources using UAV-derived point cloud

Albarelli

Mavrouli

Nyktas

2021

Bull Eng Geol Environ

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Recent advances in remote sensing techniques and computer algorithms allow accurate, abundant, and high-resolution geometric information retrieval for rock mass characterization from 3D point clouds. The automatic application of the extracted information for local scale rockfall susceptibility assessment, where discontinuities characteristics play a major role in rocky slope stability, requires step by step logical procedures. This paper presents a novel methodology to use the extracted discontinuity set characteristics for a local scale rockfall susceptibility assessment, tailored for Uncrewed Aerial Vehicle (UAV) data acquisition. The method consists of 4 steps: (i) 3D slope model reconstruction using UAV digital photogrammetry, (ii) automatic characterization of discontinuity sets, (iii) slope stability analysis, and (iv) susceptibility assessment using a new Rockfall Susceptibility Index. The proposed method was applied to a road cut rocky slope in a mountainous area of the Samaria National Park, in Crete Island, Greece. Visual validation indicates that the areas of higher and moderate rockfall susceptibility on the 3D model of the rocky slope are adjacent to rockfall source areas marked by the presence of fallen blocks on the foot of the slope. The proposed methodological workflow presents novelties related to the use of point clouds for the estimation of the Rock Quality Designation (RQD) index, the visualization of discontinuity set spacing, the evaluation of the persistence and the Slope Mass Rating (SMR) index, as well as the incorporation of the persistence of overhangs into the rockfall susceptibility assessment and visualization.

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“…Wang et al [ 15 ] employed inclined photogrammetry to generate a mine Digital Surface Model (DSM) and carried out the construction of a Digital Elevation Model (DEM) for an open-pit mine. Alameda-Hernández et al [ 16 ] used ultraclose range terrestrial digital photogrammetry to monitor the stability of soft foliated rocky slopes and analyzed their errors during rock weathering using the example of soft rocks in Alpujarras (Andalusia, Spain). Tong et al [ 17 ] used Unmanned Aerial Vehicle (UAV) photogrammetry and ground-based laser scanning for open-pit mine inspection and three-dimensional (3D) mapping, aligning image data with point cloud data and classifying land cover.…”

Section: Introductionmentioning

confidence: 99%

An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope Monitoring

Zhang

Tao

Meng

et al. 2021

Sensors

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With the growth in demand for mineral resources and the increase in open-pit mine safety and production accidents, the intelligent monitoring of open-pit mine safety and production is becoming more and more important. In this paper, we elaborate on the idea of combining the technologies of photogrammetry and camera sensor networks to make full use of open-pit mine video camera resources. We propose the Optimum Camera Deployment algorithm for open-pit mine slope monitoring (OCD4M) to meet the requirements of a high overlap of photogrammetry and full coverage of monitoring. The OCD4M algorithm is validated and analyzed with the simulated conditions of quantity, view angle, and focal length of cameras, at different monitoring distances. To demonstrate the availability and effectiveness of the algorithm, we conducted field tests and developed the mine safety monitoring prototype system which can alert people to slope collapse risks. The simulation’s experimental results show that the algorithm can effectively calculate the optimum quantity of cameras and corresponding coordinates with an accuracy of 30 cm at 500 m (for a given camera). Additionally, the field tests show that the algorithm can effectively guide the deployment of mine cameras and carry out 3D inspection tasks.

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Weak foliated rock slope stability analysis with ultra-close-range terrestrial digital photogrammetry

Cited by 20 publications

References 44 publications

Methods and research for deformation monitoring of earth and rock dams based on close-range photogrammetry

Methods and research for deformation monitoring of earth and rock dams based on close-range photogrammetry

Identification of potential rockfall sources using UAV-derived point cloud

An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope Monitoring

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