Rock bench: Establishing a common repository and standards for assessing rockmass characteristics using LiDAR and photogrammetry

Lato, Matthew J.; Kemeny, John; Harrap, Rob; Bevan, George

doi:10.1016/j.cageo.2012.06.014

Cited by 98 publications

(49 citation statements)

References 11 publications

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“…Alternatively, 3D Digital Surface Models (DSM) of the rock wall may be prepared with either digital photogrammetry or LiDAR, which allow obtaining the actual joint pattern at the source area (Brideau et al 2012;Firpo et al 2011;Gates et al 2012;Haneberg et al 2006;Lato et al 2012;Pate et al 2011;Riquelme et al 2016;Sturzenegger et al 2009). The discontinuities can be extracted either from 3D point clouds (Riquelme et al 2014) or 3D meshes (Umili et al 2013) of LiDAR images, by means of specialized software such as Coltop3D (Jaboyedoff et al 2007), CloudCompare (Girardeau-Montaut 2006), Split-FX, or Sirovision.…”

Section: Generation Of the Ibsdmentioning

confidence: 99%

A fractal fragmentation model for rockfalls

2016

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(150-250 words)The impact-induced rock mass fragmentation in a rockfall is analyzed by comparing the In Situ Block Size Distribution (IBSD) of the rock mass detached from the cliff face and the resultant Rockfall Block Size Distribution (RBSD) of the rockfall fragments on the slope. The analysis of several inventoried rockfall events suggests that the volumes of the rockfall fragments can be characterized by a power law distribution. We propose the application of a three-parameter Rockfall Fractal Fragmentation Model (RFFM) for the transformation of the IBSD into the RBSD. A Discrete Fracture Network model is used to simulate the discontinuity pattern of the detached rock mass and to generate the IBSD. Each block of the IBSD of the detached rock mass is an initiator. A survival rate is included to express the proportion of the unbroken blocks after the impact on the ground surface. The model was calibrated using the volume distribution of a rockfall event in Vilanova de Banat in the Cadí Sierra, Eastern Pyrenees, Spain. The RBSD was obtained directly in the field, by measuring the rock blocks fragments deposited on the slope. The IBSD and the RBSD were fitted by exponential and power-law functions, respectively. The results show that the proposed fractal model can successfully generate the RBSD from the IBSD and indicate the model parameter values for the case study.

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Section: Generation Of the Ibsdmentioning

confidence: 99%

A fractal fragmentation model for rockfalls

2016

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“…Interestingly, two publications in this Special Issue provide supplementary files: RAW 3D point clouds were provided by [15] and a series of digitized features from which lateral offsets were calculated was provided by [13]. Needless to say, releasing open data in public repositories such as OpenTopography and other public repositories [47][48][49] considerably helps for validating own results and for allowing geoscientists to advance further in several unexpected directions.…”

Section: Current Challenges In the Use Of 3d Point Clouds In Geohazardsmentioning

confidence: 99%

“Use of 3D Point Clouds in Geohazards” Special Issue: Current Challenges and Future Trends

2016

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“…In recent decades remote sensing data such as aerial photographs and satellite images have been used for geological mapping (Crósta and Moore 1989;Drury 1993;Dueholm et al 1993;Dong and Leblon 2004;Bedini 2009;Rogge et al 2009;Roy et al 2009; Van der Meer et al 2012;Lato et al 2013). However, in areas with dense vegetation, such photo-geological mapping cannot easily detect subtle geological lineaments or elements on the ground.…”

Section: Introductionmentioning

confidence: 99%

Derivation of Strike and Dip in Sedimentary Terrain Using 3D Image Interpretation Based on Airborne LiDAR Data

Yeh¹,

Chan²,

Chang³

et al. 2014

Terr. Atmos. Ocean. Sci.

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Traditional geological mapping may be hindered by rough terrain and dense vegetation resulting in obscured geological details. The advent of airborne Light Detection and Ranging (LiDAR) provides a very precise three-dimensional (3D) digital terrain model (DTM). However, its full potential in complementing traditional geological mapping remains to be explored using 3D rendering techniques. This study uses two types of 3D images which differ in imaging principles to further explore the finer details of sedimentary terrain. Our purposes are to demonstrate detailed geological mapping with 3D rendering techniques, to generate LiDAR-derived 3D strata boundaries that are advantageous in generating 2D geological maps and cross sections, and to develop a new practice in deriving the strike and dip of bedding with LiDAR data using an example from the north bank of the Keelung River in northern Taiwan. We propose a geological mapping practice that improves efficiency and meets a high-precision mapping standard with up to 2 m resolution using airborne LiDAR data. Through field verification and assessment, LiDAR data manipulation with relevant 3D visualization is shown to be an effective approach in improving the details of existing geological maps, specifically in sedimentary terrain.

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Rock bench: Establishing a common repository and standards for assessing rockmass characteristics using LiDAR and photogrammetry

Cited by 98 publications

References 11 publications

A fractal fragmentation model for rockfalls

A fractal fragmentation model for rockfalls

“Use of 3D Point Clouds in Geohazards” Special Issue: Current Challenges and Future Trends

Derivation of Strike and Dip in Sedimentary Terrain Using 3D Image Interpretation Based on Airborne LiDAR Data

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