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.

Highlights

  • Mapping and monitoring of natural and man-made slopes is an extremely diverse and challenging field

  • The primary and tangible results of this preliminary research are the 3D surface models generated from the gigapixel photography

  • 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 Light Detection and Ranging (LiDAR) data

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Summary

Introduction

Mapping and monitoring of natural and man-made slopes is an extremely diverse and challenging field. The primary applications of remote imaging tools are to enable engineers to better understand the dynamics of the mass movements, to facilitate the assessment of the hazard, and to assess the degree of instability through the detection of surface changes. This enables the development of accurate early warning systems and precautionary measures. The published literature is immense; common topics are hardware advances, algorithm developments, the optimization of processing workflows, and innovative applications of the data [1,2,3]

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