Using Structure-from-motion to Create Glacier DEMs and Orthoimagery from Historical Terrestrial and Oblique Aerial Imagery
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 t...
Published in: | Earth Surface Processes and Landforms |
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Digital Commons @ University of South Florida
2017
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Online Access: | https://digitalcommons.usf.edu/geo_facpub/2365 https://doi.org/10.1002/esp.4188 |
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ftunisfloridatam:oai:digitalcommons.usf.edu:geo_facpub-3365 2023-05-15T15:15:15+02:00 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. 2017-01-01T08:00:00Z https://digitalcommons.usf.edu/geo_facpub/2365 https://doi.org/10.1002/esp.4188 unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/geo_facpub/2365 https://doi.org/10.1002/esp.4188 School of Geosciences Faculty and Staff Publications structure-from-motion historic imagery Dem glacier change long term Earth Sciences article 2017 ftunisfloridatam https://doi.org/10.1002/esp.4188 2022-12-08T18:46:28Z 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 three-dimensional (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 Himalayas. We used terrestrial field photographs from 1896, high oblique aerial photographs from 1936 and aerial handheld photographs from 1978 to generate digital elevation models (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 up-glacier. In contrast to these glaciers, uneven topography, exposed ice-cliffs and debris cover on the Khumbu glacier create a highly variable spatial distribution of thinning. The mean thinning rate for the Khumbu study area was found to be 0.54 ± 0.9 m a−1 (1978–2015). Copyright © 2017 ... Article in Journal/Newspaper Arctic glacier Digital Commons University of South Florida (USF) Arctic Norway Rhone ENVELOPE(158.733,158.733,-79.983,-79.983) Brøggerhalvøya ENVELOPE(11.736,11.736,78.915,78.915) Rhone Glacier ENVELOPE(162.200,162.200,-77.667,-77.667) Earth Surface Processes and Landforms 42 14 2350 2364 |
institution |
Open Polar |
collection |
Digital Commons University of South Florida (USF) |
op_collection_id |
ftunisfloridatam |
language |
unknown |
topic |
structure-from-motion historic imagery Dem glacier change long term Earth Sciences |
spellingShingle |
structure-from-motion historic imagery Dem glacier change long term Earth Sciences 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 Earth Sciences |
description |
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 three-dimensional (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 Himalayas. We used terrestrial field photographs from 1896, high oblique aerial photographs from 1936 and aerial handheld photographs from 1978 to generate digital elevation models (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 up-glacier. In contrast to these glaciers, uneven topography, exposed ice-cliffs and debris cover on the Khumbu glacier create a highly variable spatial distribution of thinning. The mean thinning rate for the Khumbu study area was found to be 0.54 ± 0.9 m a−1 (1978–2015). Copyright © 2017 ... |
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 |
publisher |
Digital Commons @ University of South Florida |
publishDate |
2017 |
url |
https://digitalcommons.usf.edu/geo_facpub/2365 https://doi.org/10.1002/esp.4188 |
long_lat |
ENVELOPE(158.733,158.733,-79.983,-79.983) ENVELOPE(11.736,11.736,78.915,78.915) ENVELOPE(162.200,162.200,-77.667,-77.667) |
geographic |
Arctic Norway Rhone Brøggerhalvøya Rhone Glacier |
geographic_facet |
Arctic Norway Rhone Brøggerhalvøya Rhone Glacier |
genre |
Arctic glacier |
genre_facet |
Arctic glacier |
op_source |
School of Geosciences Faculty and Staff Publications |
op_relation |
https://digitalcommons.usf.edu/geo_facpub/2365 https://doi.org/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 |
_version_ |
1766345621463105536 |