Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery
Jordan R. Mertes acknowledges funding from Michigan Technological University and The Michigan Technological University 2016 Fall Finishing Fellowship. Lindsey Nicholson is supported by the Austrian Science Fund (FWF) Grant V309-N26. Increased resolution and availability of remote sensing products, a...
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Online Access: | https://hdl.handle.net/10023/15621 https://doi.org/10.1002/esp.4188 |
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/15621 2024-04-28T08:11:56+00:00 Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery Mertes, Jordan R. Gulley, Jason D. Benn, Douglas I. Thompson, Sarah S. Nicholson, Lindsey I. University of St Andrews. School of Geography & Sustainable Development University of St Andrews. Bell-Edwards Geographic Data Institute 2018-07-20 3412274 application/pdf https://hdl.handle.net/10023/15621 https://doi.org/10.1002/esp.4188 eng eng Earth Surface Processes and Landforms 250288885 70b26d90-f0f6-418a-b887-15ce122dc6cd 85032677968 000414348200010 Mertes , J R , Gulley , J D , Benn , D I , Thompson , S S & Nicholson , L I 2017 , ' Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery ' , Earth Surface Processes and Landforms , vol. 42 , no. 14 , pp. 2350-2364 . https://doi.org/10.1002/esp.4188 1096-9837 Bibtex: urn:3089b26de801e8768a952f4c0f9c3a5a ORCID: /0000-0002-3604-0886/work/64697388 https://hdl.handle.net/10023/15621 doi:10.1002/esp.4188 Structure-from-motion Historic imagery Dem Glacier change Long term QE Geology 3rd-DAS QE Journal article 2018 ftstandrewserep https://doi.org/10.1002/esp.4188 2024-04-09T23:33:08Z Jordan R. Mertes acknowledges funding from Michigan Technological University and The Michigan Technological University 2016 Fall Finishing Fellowship. Lindsey Nicholson is supported by the Austrian Science Fund (FWF) Grant V309-N26. Increased resolution and availability of remote sensing products, and advancements in small-scale aerial drone systems, allows observations of glacial changes at unprecedented levels of detail. Software developments, such as Structure from Motion (SfM), now allow users an easy and efficient method to generate 3D models and orthoimages from aerial or terrestrial datasets. While these advancements show promise for current and future glacier monitoring, many regions still suffer a lack of observations from earlier time periods. We report on the use of SfM to extract spatial information from various historic imagery sources. We focus on three geographic regions, the European Alps, High-Arctic Norway and the Nepal Himalaya. We used terrestrial field photos from 1896, high oblique aerial photos from 1936 and aerial handheld photos from 1978 to generate DEMs and orthophotos of the Rhone glacier, Brøggerhalvøya and the lower Khumbu glacier, respectively. Our analysis shows that applying SfM to historic imagery can generate high quality models using only ground control points. Limited camera/orientation information was largely reproduced using self-calibrated model data. Using these data, we calculated mean ground sampling distances across each site which demonstrates the high potential resolution of resulting models. Vertical errors for our models are ±5.4 m, ±5.2 m and ±3.3 m. Differencing shows similar patterns of thinning at lower Rhone (European Alps) and Brøggerhalvøya (Norway) glaciers, which have mean thinning rates of 0.31 m a-1 (1896-2010) to 0.86 m a-1 (1936-2010) respectively. On these clean ice glaciers thinning is highest in the terminus region and decreasing upglacier. In contrast to these glaciers, uneven topography, exposed ice-cliffs and debris cover on the Khumbu glacier ... Article in Journal/Newspaper Arctic glacier University of St Andrews: Digital Research Repository Earth Surface Processes and Landforms 42 14 2350 2364 |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
Structure-from-motion Historic imagery Dem Glacier change Long term QE Geology 3rd-DAS QE |
spellingShingle |
Structure-from-motion Historic imagery Dem Glacier change Long term QE Geology 3rd-DAS QE Mertes, Jordan R. Gulley, Jason D. Benn, Douglas I. Thompson, Sarah S. Nicholson, Lindsey I. Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery |
topic_facet |
Structure-from-motion Historic imagery Dem Glacier change Long term QE Geology 3rd-DAS QE |
description |
Jordan R. Mertes acknowledges funding from Michigan Technological University and The Michigan Technological University 2016 Fall Finishing Fellowship. Lindsey Nicholson is supported by the Austrian Science Fund (FWF) Grant V309-N26. Increased resolution and availability of remote sensing products, and advancements in small-scale aerial drone systems, allows observations of glacial changes at unprecedented levels of detail. Software developments, such as Structure from Motion (SfM), now allow users an easy and efficient method to generate 3D models and orthoimages from aerial or terrestrial datasets. While these advancements show promise for current and future glacier monitoring, many regions still suffer a lack of observations from earlier time periods. We report on the use of SfM to extract spatial information from various historic imagery sources. We focus on three geographic regions, the European Alps, High-Arctic Norway and the Nepal Himalaya. We used terrestrial field photos from 1896, high oblique aerial photos from 1936 and aerial handheld photos from 1978 to generate DEMs and orthophotos of the Rhone glacier, Brøggerhalvøya and the lower Khumbu glacier, respectively. Our analysis shows that applying SfM to historic imagery can generate high quality models using only ground control points. Limited camera/orientation information was largely reproduced using self-calibrated model data. Using these data, we calculated mean ground sampling distances across each site which demonstrates the high potential resolution of resulting models. Vertical errors for our models are ±5.4 m, ±5.2 m and ±3.3 m. Differencing shows similar patterns of thinning at lower Rhone (European Alps) and Brøggerhalvøya (Norway) glaciers, which have mean thinning rates of 0.31 m a-1 (1896-2010) to 0.86 m a-1 (1936-2010) respectively. On these clean ice glaciers thinning is highest in the terminus region and decreasing upglacier. In contrast to these glaciers, uneven topography, exposed ice-cliffs and debris cover on the Khumbu glacier ... |
author2 |
University of St Andrews. School of Geography & Sustainable Development University of St Andrews. Bell-Edwards Geographic Data Institute |
format |
Article in Journal/Newspaper |
author |
Mertes, Jordan R. Gulley, Jason D. Benn, Douglas I. Thompson, Sarah S. Nicholson, Lindsey I. |
author_facet |
Mertes, Jordan R. Gulley, Jason D. Benn, Douglas I. Thompson, Sarah S. Nicholson, Lindsey I. |
author_sort |
Mertes, Jordan R. |
title |
Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery |
title_short |
Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery |
title_full |
Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery |
title_fullStr |
Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery |
title_full_unstemmed |
Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery |
title_sort |
using structure-from-motion to create glacier dems and orthoimagery from historical terrestrial and oblique aerial imagery |
publishDate |
2018 |
url |
https://hdl.handle.net/10023/15621 https://doi.org/10.1002/esp.4188 |
genre |
Arctic glacier |
genre_facet |
Arctic glacier |
op_relation |
Earth Surface Processes and Landforms 250288885 70b26d90-f0f6-418a-b887-15ce122dc6cd 85032677968 000414348200010 Mertes , J R , Gulley , J D , Benn , D I , Thompson , S S & Nicholson , L I 2017 , ' Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery ' , Earth Surface Processes and Landforms , vol. 42 , no. 14 , pp. 2350-2364 . https://doi.org/10.1002/esp.4188 1096-9837 Bibtex: urn:3089b26de801e8768a952f4c0f9c3a5a ORCID: /0000-0002-3604-0886/work/64697388 https://hdl.handle.net/10023/15621 doi:10.1002/esp.4188 |
op_doi |
https://doi.org/10.1002/esp.4188 |
container_title |
Earth Surface Processes and Landforms |
container_volume |
42 |
container_issue |
14 |
container_start_page |
2350 |
op_container_end_page |
2364 |
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1797579066978598912 |