Laser Scanning Systems and Techniques in Rockfall Source Identification and Risk Assessment: A Critical Review

Fanos, AM; Pradhan, B

Laser Scanning Systems and Techniques in Rockfall Source Identification and Risk Assessment: A Critical Review

Fanos, AM Pradhan, B

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Publication Type:: Journal Article
Citation:: Earth Systems and Environment, 2018, 2 (2), pp. 163 - 182
Issue Date:: 2018-10-01

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Field	Value	Language
dc.contributor.author	Fanos, AM	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.date.issued	2018-10-01	en_US
dc.identifier.citation	Earth Systems and Environment, 2018, 2 (2), pp. 163 - 182	en_US
dc.identifier.issn	2509-9426	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134466
dc.description.abstract	© 2018, Springer International Publishing AG, part of Springer Nature. Rockfall poses risk to people, their properties and to transportation ways in mountainous and hilly regions. This catastrophe shows various characteristics such as vast distribution, sudden occurrence, variable magnitude, strong fatalness and randomicity. Therefore, prediction of rockfall phenomenon both spatially and temporally is a challenging task. Digital Terrain model (DTM) is one of the most significant elements in rockfall source identification and risk assessment. Light detection and ranging (LiDAR) is the most advanced effective technique to derive high-resolution and accurate DTM. This paper presents a critical overview of rockfall phenomenon (definition, triggering factors, motion modes and modeling) and LiDAR technique in terms of data pre-processing, DTM generation and the factors that can be obtained from this technique for rockfall source identification and risk assessment. It also reviews the existing methods that are utilized for the evaluation of the rockfall trajectories and their characteristics (frequency, velocity, bouncing height and kinetic energy), probability, susceptibility, hazard and risk. Detail consideration is given on quantitative methodologies in addition to the qualitative ones. Various methods are demonstrated with respect to their application scales (local and regional). Additionally, attention is given to the latest improvement, particularly including the consideration of the intensity of the phenomena and the magnitude of the events at chosen sites.	en_US
dc.relation.ispartof	Earth Systems and Environment	en_US
dc.relation.isbasedon	10.1007/s41748-018-0046-x	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Laser Scanning Systems and Techniques in Rockfall Source Identification and Risk Assessment: A Critical Review	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.for	0909 Geomatic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

© 2018, Springer International Publishing AG, part of Springer Nature. Rockfall poses risk to people, their properties and to transportation ways in mountainous and hilly regions. This catastrophe shows various characteristics such as vast distribution, sudden occurrence, variable magnitude, strong fatalness and randomicity. Therefore, prediction of rockfall phenomenon both spatially and temporally is a challenging task. Digital Terrain model (DTM) is one of the most significant elements in rockfall source identification and risk assessment. Light detection and ranging (LiDAR) is the most advanced effective technique to derive high-resolution and accurate DTM. This paper presents a critical overview of rockfall phenomenon (definition, triggering factors, motion modes and modeling) and LiDAR technique in terms of data pre-processing, DTM generation and the factors that can be obtained from this technique for rockfall source identification and risk assessment. It also reviews the existing methods that are utilized for the evaluation of the rockfall trajectories and their characteristics (frequency, velocity, bouncing height and kinetic energy), probability, susceptibility, hazard and risk. Detail consideration is given on quantitative methodologies in addition to the qualitative ones. Various methods are demonstrated with respect to their application scales (local and regional). Additionally, attention is given to the latest improvement, particularly including the consideration of the intensity of the phenomena and the magnitude of the events at chosen sites.

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http://hdl.handle.net/10453/134466