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...

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Published in:Earth Surface Processes and Landforms
Main Authors: Mertes, Jordan R., Gulley, Jason D., Benn, Douglas I., Thompson, Sarah S., Nicholson, Lindsey I.
Format: Article in Journal/Newspaper
Language:unknown
Published: Digital Commons @ University of South Florida 2017
Subjects:
Dem
Online Access:https://digitalcommons.usf.edu/geo_facpub/2365
https://doi.org/10.1002/esp.4188
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spelling 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
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