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

Remote sensing methods are now used to assess rockmass characteristics along transportation corridors, in mines and tunnels, and in other areas where rock falls can affect humans and infrastructure. A variety of sensor methods, primarily LiDAR and photogrammetry, have seen recent use with widespread...

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Vydáno v:	Computers & geosciences Ročník 50; s. 106 - 114
Hlavní autoři:	Lato, M., Kemeny, J., Harrap, R.M., Bevan, G.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2013
Témata:	algorithms Benchmarking computers data collection Engineering geology Europe humans infrastructure LiDAR North America Photogrammetry Remote sensing Rockfall rockfalls statistics transportation North America Europe Engineering geology Benchmarking Photogrammetry Remote sensing LiDAR Rockfall
ISSN:	0098-3004, 1873-7803
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Abstract	Remote sensing methods are now used to assess rockmass characteristics along transportation corridors, in mines and tunnels, and in other areas where rock falls can affect humans and infrastructure. A variety of sensor methods, primarily LiDAR and photogrammetry, have seen recent use with widespread success and state of practice acceptance. Various commercial and custom tools exist to process the resulting data to extract geometry, surface and location based statistics, and to perform kinematic stability assessments. Although there is a widespread need to assess how different sensors and processing workflows actually perform, these are often compared anecdotally solely with the field practices they replace and using site and sensor data unavailable to other researchers. Two principles must be established to move across-the-board comparisons of remote rockmass characterization forward: (i) establishment of accessible, documented test sites, and (ii) test databases that are accessible to all. We propose the establishment of several key sites for equipment tests, including already-studied areas in Europe and North America, as well as an open approach to adding sites and related data to the collection. Site descriptions must include detailed local geology, photographs, LiDAR and/or photogrammetry datasets, and access notes. Second, we describe and provide a prototype data repository for storing this information, and in particular for providing open access to benchmark data into the future. This initiative will allow for meaningful comparisons of sensors and algorithms, and specifically will support better methodologies for benchmarking rock mass data in the geosciences. Data and metadata will be hosted at the www.rockbench.org domain. ► Established a repository for LiDAR and photogrammetry data for engineering geology. ► Provide data from ten sites across Canada, USA, and Europe for benchmarking. ► Develop metadata forms and guidelines for development of the online repository.
AbstractList	Remote sensing methods are now used to assess rockmass characteristics along transportation corridors, in mines and tunnels, and in other areas where rock falls can affect humans and infrastructure. A variety of sensor methods, primarily LiDAR and photogrammetry, have seen recent use with widespread success and state of practice acceptance. Various commercial and custom tools exist to process the resulting data to extract geometry, surface and location based statistics, and to perform kinematic stability assessments. Although there is a widespread need to assess how different sensors and processing workflows actually perform, these are often compared anecdotally solely with the field practices they replace and using site and sensor data unavailable to other researchers. Two principles must be established to move across-the-board comparisons of remote rockmass characterization forward: (i) establishment of accessible, documented test sites, and (ii) test databases that are accessible to all. We propose the establishment of several key sites for equipment tests, including already-studied areas in Europe and North America, as well as an open approach to adding sites and related data to the collection. Site descriptions must include detailed local geology, photographs, LiDAR and/or photogrammetry datasets, and access notes. Second, we describe and provide a prototype data repository for storing this information, and in particular for providing open access to benchmark data into the future. This initiative will allow for meaningful comparisons of sensors and algorithms, and specifically will support better methodologies for benchmarking rock mass data in the geosciences. Data and metadata will be hosted at the www.rockbench.org domain. Remote sensing methods are now used to assess rockmass characteristics along transportation corridors, in mines and tunnels, and in other areas where rock falls can affect humans and infrastructure. A variety of sensor methods, primarily LiDAR and photogrammetry, have seen recent use with widespread success and state of practice acceptance. Various commercial and custom tools exist to process the resulting data to extract geometry, surface and location based statistics, and to perform kinematic stability assessments. Although there is a widespread need to assess how different sensors and processing workflows actually perform, these are often compared anecdotally solely with the field practices they replace and using site and sensor data unavailable to other researchers. Two principles must be established to move across-the-board comparisons of remote rockmass characterization forward: (i) establishment of accessible, documented test sites, and (ii) test databases that are accessible to all. We propose the establishment of several key sites for equipment tests, including already-studied areas in Europe and North America, as well as an open approach to adding sites and related data to the collection. Site descriptions must include detailed local geology, photographs, LiDAR and/or photogrammetry datasets, and access notes. Second, we describe and provide a prototype data repository for storing this information, and in particular for providing open access to benchmark data into the future. This initiative will allow for meaningful comparisons of sensors and algorithms, and specifically will support better methodologies for benchmarking rock mass data in the geosciences. Data and metadata will be hosted at the www.rockbench.org domain. ► Established a repository for LiDAR and photogrammetry data for engineering geology. ► Provide data from ten sites across Canada, USA, and Europe for benchmarking. ► Develop metadata forms and guidelines for development of the online repository.
Author	Bevan, G. Kemeny, J. Lato, M. Harrap, R.M.
Author_xml	– sequence: 1 givenname: M. surname: Lato fullname: Lato, M. email: mjlato@gmail.com organization: Norwegian Geotechnical Institute, Geomatics and Integrated Geosciences, Norway – sequence: 2 givenname: J. surname: Kemeny fullname: Kemeny, J. organization: University of Arizona, Mining and Geological Engineering, AZ, USA – sequence: 3 givenname: R.M. surname: Harrap fullname: Harrap, R.M. organization: Queen's University, Geological Sciences and Geological Engineering, Canada – sequence: 4 givenname: G. surname: Bevan fullname: Bevan, G. organization: Queen's University, Classics, Canada
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Snippet	Remote sensing methods are now used to assess rockmass characteristics along transportation corridors, in mines and tunnels, and in other areas where rock...
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SubjectTerms	algorithms Benchmarking computers data collection Engineering geology Europe humans infrastructure LiDAR North America Photogrammetry Remote sensing Rockfall rockfalls statistics transportation
Title	Rock bench: Establishing a common repository and standards for assessing rockmass characteristics using LiDAR and photogrammetry
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