Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry

Westoby, Matt, Dunning, Stuart, Woodward, John, Hein, Andrew, Marrero, Shasta, Winter, Kate and Sugden, David (2015) Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry. Journal of Glaciology, 61 (230). pp. 1088-1102. ISSN 0022-1430

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In glacial environments particle-size analysis of moraines provides insights into clast origin, transport history, depositional mechanism and processes of reworking. Traditional methods for grain-size classification are labour-intensive, physically intrusive and are limited to patch-scale (1m2) observation. We develop emerging, high-resolution ground- and unmanned aerial vehicle-based ‘Structure-from-Motion’ (UAV-SfM) photogrammetry to recover grain-size information across an moraine surface in the Heritage Range, Antarctica. SfM data products were benchmarked against equivalent datasets acquired using terrestrial laser scanning, and were found to be accurate to within 1.7 and 50mm for patch- and site-scale modelling, respectively. Grain-size distributions were obtained through digital grain classification, or ‘photo-sieving’, of patch-scale SfM orthoimagery. Photo-sieved distributions were accurate to <2mm compared to control distributions derived from dry sieving. A relationship between patch-scale median grain size and the standard deviation of local surface elevations was applied to a site-scale UAV-SfM model to facilitate upscaling and the production of a spatially continuous map of the median grain size across a 0.3 km2 area of moraine. This highly automated workflow for site scale sedimentological characterization eliminates much of the subjectivity associated with traditional methods and forms a sound basis for subsequent glaciological
process interpretation and analysis.

Item Type: Article
Uncontrolled Keywords: Glacial geomorphology, Glacial sedimentology, Glaciological instruments and methods, Moraine, UAV, Structure-from-Motion, SfM, Digital Elevation Model, DEM, Photo-sieving
Subjects: F600 Geology
F800 Physical and Terrestrial Geographical and Environmental Sciences
Department: Faculties > Engineering and Environment > Geography and Environmental Sciences
Depositing User: Dr Matt Westoby
Date Deposited: 27 Nov 2015 13:12
Last Modified: 01 Aug 2021 02:03

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