A new approach for semi-automatic rock mass joints recognition from 3D point clouds

Riquelme, Adrián; Abellán, Antonio; Tomás, Roberto; Jaboyedoff, Michel

doi:10.1016/j.cageo.2014.03.014

Cited by 281 publications

(206 citation statements)

References 31 publications

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“…Accurate estimation of each normal vector is therefore critical in determining the magnitude and direction of change and should be derived from an appropriately sized neighbourhood of points that adds topological context (Riquelme et al, 2014). In this section, we describe the widely adopted method for normal estimation and gains in efficiency that have been made in this study, including the definition of a single reference map of optimal neighbourhood radii.…”

Section: Normal Vector Estimationmentioning

confidence: 99%

“…The neighbourhood size strongly determines the direction of surface normals (Mitra and Nguyen, 2003;Lalonde et al, 2005;Bae et al, 2009;Lague et al, 2013;Riquelme et al, 2014). If the size of the neighbourhood is below the scale of surface roughness, the resulting normals will fluctuate in direction and are less likely to be consistent between successive point clouds.…”

Section: Normal Vector Estimationmentioning

confidence: 99%

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Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency

et al. 2018

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Abstract. We present a monitoring technique tailored to analysing change from near-continuously collected, high-resolution 3-D data. Our aim is to fully characterise geomorphological change typified by an event magnitude-frequency relationship that adheres to an inverse power law or similar. While recent advances in monitoring have enabled changes in volume across more than 7 orders of magnitude to be captured, event frequency is commonly assumed to be interchangeable with the time-averaged event numbers between successive surveys. Where events coincide, or coalesce, or where the mechanisms driving change are not spatially independent, apparent event frequency must be partially determined by survey interval.The data reported have been obtained from a permanently installed terrestrial laser scanner, which permits an increased frequency of surveys. Surveying from a single position raises challenges, given the single viewpoint onto a complex surface and the need for computational efficiency associated with handling a large time series of 3-D data. A workflow is presented that optimises the detection of change by filtering and aligning scans to improve repeatability. An adaptation of the M3C2 algorithm is used to detect 3-D change to overcome data inconsistencies between scans. Individual rockfall geometries are then extracted and the associated volumetric errors modelled. The utility of this approach is demonstrated using a dataset of ∼ 9 × 10 3 surveys acquired at ∼ 1 h intervals over 10 months. The magnitude-frequency distribution of rockfall volumes generated is shown to be sensitive to monitoring frequency. Using a 1 h interval between surveys, rather than 30 days, the volume contribution from small (< 0.1 m 3 ) rockfalls increases from 67 to 98 % of the total, and the number of individual rockfalls observed increases by over 3 orders of magnitude. High-frequency monitoring therefore holds considerable implications for magnitude-frequency derivatives, such as hazard return intervals and erosion rates. As such, while high-frequency monitoring has potential to describe short-term controls on geomorphological change and more realistic magnitude-frequency relationships, the assessment of longer-term erosion rates may be more suited to less-frequent data collection with lower accumulative errors.

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Section: Normal Vector Estimationmentioning

confidence: 99%

Section: Normal Vector Estimationmentioning

confidence: 99%

Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency

et al. 2018

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“…The 3DPCs obtained during the 2011 and 2012 surveys have been also used for the remote characterization of rock mass discontinuities using the discontinuity set extractor (DSE) open-source software developed by Riquelme et al (2014). This software Fig.…”

Section: Identification Of Discontinuities From 3dpcmentioning

confidence: 99%

“…Heckmann et al 2012) and rock mass characterization (e.g. Riquelme et al 2014, Riquelme et al 2016, Sturzenegger and Stead, 2009a.…”

Section: Introductionmentioning

confidence: 99%

A multidisciplinary approach for the investigation of a rock spreading on an urban slope

et al. 2017

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Landslides are very complex processes controlled by multiple factors. The knowledge and characterization of these factors is essential for a comprehensive understanding of the mechanisms and kinematics of the instabilities and for an efficient design of corrective measures. The aim of this work is to combine traditional geological and geotechnical techniques with geophysical, remote sensing and forensic techniques for obtaining a whole picture of an active lateral spreading affecting the Finestrat municipality in Alicante, SE Spain. Geomorphological, geotechnical and geophysical techniques (i.e. ground penetrating radar and refraction seismic) have provided essential information about the geometry, structure and petro-physical properties of the slope. A Terrestrial Laser Scanner was used for recognizing the most important sets of discontinuities affecting the rock mass and to evaluate the activity of the landslide slope. Complementarily, a forensic analysis of the building damage completed the available datasets, yielding very useful kinematic information of the landslide. Finally, a sensitivity analysis of the stability of the rock slope has been performed considering both block toppling and block sliding models. Therefore, the multisource analysis performed in this work has allowed the identification and characterization of a complex lateral spreading, highlighting its effectiveness for a comprehensive understanding of this type of landslide.

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“…Turner et al 2012;Lucieer et al 2013;James and Robson 2014), change detection (e.g. Abellán et al 2009) and rock mass characterization (Sturzenegger et al 2011;Riquelme et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

et al. 2018

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Landslides are one of the most relevant geohazards worldwide, causing direct and indirect costs and fatalities. Italy is one of the countries most affected by mass movements, and the Molise region, southern Italy, is known to be susceptible to erosional processes and landslides. In January 2003, a landslide in the municipality of Agnone, in the Colle Lapponi-Piano Ovetta (CL-PO) territory, occurred causing substantial damage to both structures and civil infrastructure. To investigate the evolution of the landslide-affected catchment over approximately one century, different data were taken into account: (i) literature information at the beginning of the twentieth century; (ii) historical sets of aerial optical photographs to analyse the geomorphological evolution from 1945 to 2003; (iii) SAR (Synthetic Aperture Radar) data from the ERS1/2, ENVISAT and COSMO-SkyMed satellites to monitor the displacement from 1992 to 2015; (iv) traditional measurements carried out through geological and geomorphological surveys, inclinometers and GPS campaigns to characterize the geological setting of the area; and (v) recent optical photographs of the catchment area to determine the enlargement of the landslide. Using the structure from motion technique, a 3D reconstruction of each set of historical aerial photographs was made to investigate the geomorphological evolution and to trace the boundary of the mass movements. As a result, the combination of multitemporal and multitechnique analysis of the evolution of the CL-PO landslide enabled an assessment of the landslide expansion, which resulted in a maximum length of up to approximately 1500 m. A complete investigation of the past and present deformational sequences of the area was performed to potentially plan further mitigation and prevention strategies to avoid possible reactivations.

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A new approach for semi-automatic rock mass joints recognition from 3D point clouds

Abstract: Abstract

Cited by 281 publications

References 31 publications

Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency

Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency

A multidisciplinary approach for the investigation of a rock spreading on an urban slope

Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

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