Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry
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) obse...
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International Glaciological Society
2015
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ftunivnorthumb:oai:nrl.northumbria.ac.uk:24782 2023-05-15T13:35:33+02:00 Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry Westoby, Matt Dunning, Stuart Woodward, John Hein, Andrew Marrero, Shasta Winter, Kate Sugden, David 2015-11-26 text https://nrl.northumbria.ac.uk/id/eprint/24782/ https://doi.org/10.3189/2015JoG15J086 https://nrl.northumbria.ac.uk/id/eprint/24782/1/Westoby%20et%20al_JoG_%2061_230.pdf en eng International Glaciological Society https://nrl.northumbria.ac.uk/id/eprint/24782/1/Westoby%20et%20al_JoG_%2061_230.pdf 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 cc_by_4_0 CC-BY F600 Geology F800 Physical and Terrestrial Geographical and Environmental Sciences Article PeerReviewed 2015 ftunivnorthumb https://doi.org/10.3189/2015JoG15J086 2022-09-25T06:02:55Z 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. Article in Journal/Newspaper Antarc* Antarctic Antarctica Journal of Glaciology Northumbria University, Newcastle: Northumbria Research Link (NRL) Antarctic Heritage Range ENVELOPE(-82.000,-82.000,-80.000,-80.000) Journal of Glaciology 61 230 1088 1102 |
institution |
Open Polar |
collection |
Northumbria University, Newcastle: Northumbria Research Link (NRL) |
op_collection_id |
ftunivnorthumb |
language |
English |
topic |
F600 Geology F800 Physical and Terrestrial Geographical and Environmental Sciences |
spellingShingle |
F600 Geology F800 Physical and Terrestrial Geographical and Environmental Sciences Westoby, Matt Dunning, Stuart Woodward, John Hein, Andrew Marrero, Shasta Winter, Kate Sugden, David Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry |
topic_facet |
F600 Geology F800 Physical and Terrestrial Geographical and Environmental Sciences |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Westoby, Matt Dunning, Stuart Woodward, John Hein, Andrew Marrero, Shasta Winter, Kate Sugden, David |
author_facet |
Westoby, Matt Dunning, Stuart Woodward, John Hein, Andrew Marrero, Shasta Winter, Kate Sugden, David |
author_sort |
Westoby, Matt |
title |
Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry |
title_short |
Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry |
title_full |
Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry |
title_fullStr |
Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry |
title_full_unstemmed |
Sedimentological characterization of Antarctic moraines using UAVs and Structure-from-Motion photogrammetry |
title_sort |
sedimentological characterization of antarctic moraines using uavs and structure-from-motion photogrammetry |
publisher |
International Glaciological Society |
publishDate |
2015 |
url |
https://nrl.northumbria.ac.uk/id/eprint/24782/ https://doi.org/10.3189/2015JoG15J086 https://nrl.northumbria.ac.uk/id/eprint/24782/1/Westoby%20et%20al_JoG_%2061_230.pdf |
long_lat |
ENVELOPE(-82.000,-82.000,-80.000,-80.000) |
geographic |
Antarctic Heritage Range |
geographic_facet |
Antarctic Heritage Range |
genre |
Antarc* Antarctic Antarctica Journal of Glaciology |
genre_facet |
Antarc* Antarctic Antarctica Journal of Glaciology |
op_relation |
https://nrl.northumbria.ac.uk/id/eprint/24782/1/Westoby%20et%20al_JoG_%2061_230.pdf 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 |
op_rights |
cc_by_4_0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3189/2015JoG15J086 |
container_title |
Journal of Glaciology |
container_volume |
61 |
container_issue |
230 |
container_start_page |
1088 |
op_container_end_page |
1102 |
_version_ |
1766067104595836928 |