Application of combined terrestrial laser scanning and unmanned aerial vehicle digital photogrammetry method in high rock slope stability analysis: A case study

Ismail, Afiqah; Rashid, Ahmad Safuan A.; Sa’ari, Radzuan; Rasib, Abd Wahid; Mustaffar, Mushairry; Abdullah, Redzuan; Kassim, Azman; Yusof, Norbazlan Mohd; Rahaman, Norisam Abd; Kalatehjari, Roohollah

doi:10.1016/j.measurement.2022.111161

Cited by 20 publications

(7 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the description and interpretation of the result from an individual joint set are not included in the context of this study. The susceptibility to failure is represented in the range of 0 to 100, categorized into five classes: very low (0-20), low (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40), moderate (41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59)(60), high (61)(62)(63)(64)(65)(66)(67)(68)(69)…”

Section: Resultsmentioning

confidence: 99%

“…In recent years, probabilistic kinematic analysis is widely performed using the stereonet method to include the effect of natural variability in joint orientations [34][35][36][37][38][39][40]. There are few attempts to use disconti-nuities derived from laser scanning and unmanned aerial vehicle (UAV) point clouds in structural stability analysis [41].…”

Section: State-of-the-artmentioning

confidence: 99%

See 1 more Smart Citation

A GIS-Based Kinematic Analysis for Jointed Rock Slope Stability: An Application to Himalayan Slopes

Kundu

Sarkar

Ghaderpour

et al. 2023

Land

View full text Add to dashboard Cite

GIS-based kinematic stability analysis in rock slopes is a rare practice in geological engineering despite its immense potential to delineate unstable zones in a mountainous region. In this article, we have used a GIS-based modified technique to assess the efficiency of kinematic analysis in predicting shallow landslides in the rock slopes of the Himalayan mountains on a regional scale. The limited use of this technique is primarily due to the complexities involved in its practical application. To make this technique more effective and convenient usability, we present modified methods and a new application, ‘GISMR’, that works with the aid of GIS software for the determination of kinematic susceptibility. A modified kinematic analysis method was implemented to define the stability in terms of failure susceptibility on a scale of 0 to 100 rather than a conservative result, such as failure or non-failure. We also present another functionality of the GISMR that provides optimised slope angles over a region. This functionality could aid the decision-making process when selecting a suitable location for a road path or other engineering constructions that are impacted by unstable mountain slopes. The applicability of this new method was demonstrated in a rock failure-prone region in the mountains of the Indian Himalayas. The outcomes delineate the unstable slopes in the region, which are intersected by a strategic National Highway 05 and have a long history of landslide-related hazards. It was found that 9.61% of the area is susceptible to failure. However, 2.28% is classified as a low susceptible region, and 2.58% of the area is very-low susceptible. The regions with moderately high, high, and very-high susceptibility cover 2.78%, 1.49%, and 0.46% of the whole area, respectively. The results were evaluated by receiver operating characteristic curve and a frequency ratio method to represent the association between kinematic susceptibility and the mass movement inventory in the area. It is concluded that kinematic susceptibility has a strong relationship with landslide activity in the rock slopes of the Himalayan region.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: State-of-the-artmentioning

confidence: 99%

A GIS-Based Kinematic Analysis for Jointed Rock Slope Stability: An Application to Himalayan Slopes

Kundu

Sarkar

Ghaderpour

et al. 2023

Land

View full text Add to dashboard Cite

show abstract

“…They analyzed the calculated dominant strike-dip direction, fracture, hole diameter, and depth distribution. With the development of measurement technology, three-dimensional (3D) laser scanning technology has been widely used to investigate the roughness of joint surfaces [6], strike-dip direction, spacing, trace length, and other parameters [7][8][9][10]. Riquelme et al [11] also compared the differences between 3D laser scanner and rock structure from motion (SFM) data in investigating the trace length, spacing, strike-dip direction, and joint surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Cataclastic Characteristics and Formation Mechanism of Dolomite Rock Mass in Yunnan, China

et al. 2023

View full text Add to dashboard Cite

The dolomite rock mass on the slope of the Yanhe domestic waste incineration power plant was used as the research object. The macro- and micro-structural characteristics of intact rock blocks and rock discontinuities were analyzed qualitatively and quantitatively using in-hole television, wave velocity testing, three-dimensional laser scanning techniques, photogrammetry, image processing techniques, and scanning electron microscopy (SEM). The study shows that the degree of fracturing generally decreases with depth over the exposed borehole depth range, and the rock masses are generally very fractured. The wave velocity of dolomite generally increases with the depth of the borehole, and the integrity of the dolomite is either broken or extremely broken. The excavation profile reveals six sets of discontinuities and joints that are straight, smooth, interconnected, and largely unfilled. The angles of the structural bodies of different grain sizes are sharp, with roundness being angular and sharp-angled. The smaller the blocks, the more complex the surface morphology. SEM observations show that the ultramicroscopic fractures are not flat and smooth, and the fractures are folded. Fracturing mainly occurs along intercrystalline and crystal interfaces. These fracture features suggest that the fracturing of dolomite is mainly related to the original sedimentary construction and tectonism.

show abstract

“…Recent developments in uncrewed aircraft systems (UASs) include their abilities to carry multiple sensors, fly on demand, orient the sensor's look angle based on the topography characteristics, and achieve ultra-high-resolution information (1-20 cm) for precise morphodynamic characterization of processes and landforms [16]. These practical advantages are optimal for rock mass stability evaluation, and were successfully exploited by previous studies through classification systems such as the slope and rock mass rating [17][18][19]; realization of tridimensional models for mapping geomechanical properties [20][21][22][23] or for stability analysis, hazard and risk modeling [24][25][26][27][28]; exploitation of multispectral and hyperspectral sensors for landslide susceptibility assessment; and detailed analysis of slopes' lithological and moisture conditions [29][30][31]. In particular, the scientific community is dedicating its efforts to identifying early precursor signals indicative of instability events or studying the temporal morphoevolution of block and debris detachments, exploiting topographic models and quantitative geomechanical characterization of the rock masses.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems

et al. 2023

View full text Add to dashboard Cite

Rapid slope instabilities (i.e., rockfalls) involving highway networks in mountainous areas pose a threat to facilities, settlements and life, thus representing a challenge for asset management plans. To identify different morphological expressions of degradation processes that lead to rock mass destabilization, we combined satellite and uncrewed aircraft system (UAS)-based products over two study sites along the State Highway 133 sector near Paonia Reservoir, Colorado (USA). Along with a PS-InSAR analysis covering the 2017–2021 interval, a high-resolution dataset composed of optical, thermal and multi-spectral imagery was systematically acquired during two UAS surveys in September 2021 and June 2022. After a pre-processing step including georeferencing and orthorectification, the final products were processed through object-based multispectral classification and change detection analysis for highlighting moisture or lithological variations and for identifying areas more susceptible to deterioration and detachments at the small and micro-scale. The PS-InSAR analysis, on the other hand, provided multi-temporal information at the catchment scale and assisted in understanding the large-scale morpho-evolution of the displacements. This synergic combination offered a multiscale perspective of the superimposed imprints of denudation and mass-wasting processes occurring on the study site, leading to the detection of evidence and/or early precursors of rock collapses, and effectively supporting asset management maintenance practices.

show abstract

Application of combined terrestrial laser scanning and unmanned aerial vehicle digital photogrammetry method in high rock slope stability analysis: A case study

Cited by 20 publications

References 56 publications

A GIS-Based Kinematic Analysis for Jointed Rock Slope Stability: An Application to Himalayan Slopes

A GIS-Based Kinematic Analysis for Jointed Rock Slope Stability: An Application to Himalayan Slopes

Cataclastic Characteristics and Formation Mechanism of Dolomite Rock Mass in Yunnan, China

Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems

Contact Info

Product

Resources

About