Engineering monitoring of rockfall hazards along transportation corridors: using mobile terrestrial LiDAR

Lato, Matthew J.; Hutchinson, Jean; Diederichs, Mark S.; Ball, David; Harrap, Rob

doi:10.5194/nhess-9-935-2009

Cited by 109 publications

(46 citation statements)

References 13 publications

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“…Concerning 4-D data treatment for investigating changes on natural slope, some lessons learned may be adapted from the two-and threedimensional tracking of mass movements (Teza et al, 2007;Monserrat and Crosetto, 2008), investigation of progressive failures (Royan et al, 2015;Kromer et al, 2015), and from 376 A. Eltner et al: Image-based surface reconstruction in geomorphometry the usage of mobile systems (Lato et al, 2009;Michoud et al, 2015).…”

Section: Cross-disciplinaritymentioning

confidence: 99%

Image-based surface reconstruction in geomorphometry – merits, limits and developments

et al. 2016

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Abstract. Photogrammetry and geosciences have been closely linked since the late 19th century due to the acquisition of high-quality 3-D data sets of the environment, but it has so far been restricted to a limited range of remote sensing specialists because of the considerable cost of metric systems for the acquisition and treatment of airborne imagery. Today, a wide range of commercial and open-source software tools enable the generation of 3-D and 4-D models of complex geomorphological features by geoscientists and other non-experts users. In addition, very recent rapid developments in unmanned aerial vehicle (UAV) technology allow for the flexible generation of high-quality aerial surveying and ortho-photography at a relatively low cost.The increasing computing capabilities during the last decade, together with the development of highperformance digital sensors and the important software innovations developed by computer-based vision and visual perception research fields, have extended the rigorous processing of stereoscopic image data to a 3-D point cloud generation from a series of non-calibrated images. Structure-from-motion (SfM) workflows are based upon algorithms for efficient and automatic orientation of large image sets without further data acquisition information, examples including robust feature detectors like the scale-invariant feature transform for 2-D imagery. Nevertheless, the importance of carrying out well-established fieldwork strategies, using proper camera settings, ground control points and ground truth for understanding the different sources of errors, still needs to be adapted in the common scientific practice.This review intends not only to summarise the current state of the art on using SfM workflows in geomorphometry but also to give an overview of terms and fields of application. Furthermore, this article aims to quantify already achieved accuracies and used scales, using different strategies in order to evaluate possible stagnations of current developments and to identify key future challenges. It is our belief that some lessons learned from former articles, scientific reports and book chapters concerning the identification of common errors or "bad practices" and some other valuable information may help in guiding the future use of SfM photogrammetry in geosciences.

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Section: Cross-disciplinaritymentioning

confidence: 99%

Image-based surface reconstruction in geomorphometry – merits, limits and developments

et al. 2016

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“…To illustrate the results in context, two 3D surface models are presented below as they would be used in a standard engineering geology evaluation of a rockmass using state-of-the-art stereo-photogrammetry or LiDAR data. These analyses are completed according to workflows and methodologies published by [17][18][19][20][21][22][23]. As well, data generated though this study at an early stage where used in a geological mapping exercise as published in the International Journal of Rock Mechanics and Mining Science [24].…”

Section: Resultsmentioning

confidence: 99%

Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique

2012

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Abstract:The use of terrestrial remote imaging techniques, specifically LiDAR (Light Detection And Ranging) and digital stereo-photogrammetry, are widely proven and accepted for the mapping of geological structure and monitoring of mass movements. The use of such technologies can be limited, however: LiDAR generally by the cost of acquisition, and stereo-photogrammetry by the tradeoff between possible resolution within the scene versus the spatial extent of the coverage. The objective of this research is to test a hybrid gigapixel photogrammetry method, and investigate optimal equipment configurations for use in mountainous terrain. The scope of the work included field testing at variable ranges, angles, resolutions, and in variable geological and climatologically settings. Original field work was carried out in Canada to test various lenses and cameras, and detailed field mapping excursions were conducted in Norway. The key findings of the research are example data generated by gigapixel photogrammetry, a detailed discussion on optimal photography equipment for gigapixel imaging, and implementations of the imaging possibilities for rockfall mapping. This paper represents a discussion about a new terrestrial 3-dimensional imaging technique. The findings of this research will directly benefit natural hazard mapping programs in which rockfall potential must be recorded and the use of standard 3-dimensional imaging techniques cannot be applied.

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“…Lato et al [59] demonstrate how rock fall hazards along transportation corridors can be monitored using MLS. For this study, the monitoring took place from both railway and roadway based MLS systems.…”

Section: Extraction Of Features For Safety Analysesmentioning

confidence: 99%

Synthesis of Transportation Applications of Mobile LIDAR

et al. 2013

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A thorough review of available literature was conducted to inform of advancements in mobile LIDAR technology, techniques, and current and emerging applications in transportation. The literature review touches briefly on the basics of LIDAR technology followed by a more in depth description of current mobile LIDAR trends, including system components and software. An overview of existing quality control procedures used to verify the accuracy of the collected data is presented. A collection of case studies provides a clear description of the advantages of mobile LIDAR, including an increase in safety and efficiency. The final sections of the review identify current challenges the industry is facing, the guidelines that currently exist, and what else is needed to streamline the adoption of mobile LIDAR by transportation agencies. Unfortunately, many of these guidelines do not cover the specific challenges and concerns of mobile LIDAR use as many have been developed for airborne LIDAR acquisition and processing. From this review, there is a lot of discussion on "what" is being done in practice, but not a lot on "how" and "how well" it is being done. A willingness to share information going forward will be important for the successful use of mobile LIDAR.

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Engineering monitoring of rockfall hazards along transportation corridors: using mobile terrestrial LiDAR

Cited by 109 publications

References 13 publications

Image-based surface reconstruction in geomorphometry – merits, limits and developments

Image-based surface reconstruction in geomorphometry – merits, limits and developments

Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique

Synthesis of Transportation Applications of Mobile LIDAR

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