Identifying rockfall hazards in the Fraser Canyon, British Columbia: a semi-automated approach to the classification and assessment of topographic information from airborne LiDAR and orthoimagery
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Authors
Carter, Richard
Date
Type
thesis
Language
eng
Keyword
LiDAR , Rockfall , Geohazards , Remote Sensing , GIS , Landslide
Alternative Title
Abstract
Rockfall hazards on railway corridors create risk of derailment which can result in
damage to property or the environment and cause injury or loss of life. There is interest
in understanding the location and severity of such hazards so that management
strategies can be implemented. Ongoing collection of high resolution 3D data from
terrestrial and airborne platforms has proven to be an effective medium for achieving a
better understanding of the spatial-temporal, geological and geomechanical properties
of rockfall hazards. The limiting factor is that such data is time consuming to collect and
process and needs to be specifically directed. This study aims to provide new officelevel
screening tools which can be used to identify areas where more refined data
collection may offer value.
Airborne LiDAR and orthoimagery for the CN Thompson Fraser Corridor is used to
develop new techniques for the classification and interpretation of topographic data for
the study of rockfall hazards in the area. In Chapter 3, spectral reflectance in the visible
range, extracted from orthoimagery, is used to classify colourized point cloud data in the
interest of identifying areas of exposed rock. In Chapter 4, this technique is paired with
existing techniques for the geomorphic classification of 3D information using slope
angle and use as the main input to a probabilistic rockfall hazard assessment.
Analysis of colour values, paired with conventional morphometric analysis using slope
angle, shows promise as a means of classifying topographic data into geomorphic
domains. The study successfully derives all inputs for the probabilistic assessment of
rockfall hazard from the above mentioned airborne LiDAR and orthoimagery dataset.
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License
CC0 1.0 Universal
Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.
Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.