PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology
Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, however, the potential usefulness of time-lapse data is limited by the unavailability of user-friend...
Published in: | Frontiers in Earth Science |
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Main Authors: | , , , |
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Language: | English |
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2020
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Online Access: | https://risweb.st-andrews.ac.uk/portal/en/researchoutput/pytrx(34a5f64d-430c-4822-a4e0-40b19b82d996).html https://doi.org/10.3389/feart.2020.00021 https://research-repository.st-andrews.ac.uk/bitstream/10023/19499/1/How_2020_FES_PyTrx_CC.pdf |
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ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/34a5f64d-430c-4822-a4e0-40b19b82d996 2023-05-15T16:22:14+02:00 PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology How, Penelope Hulton, Nicholas R. J. Buie, Lynne Benn, Douglas I. 2020-02-13 application/pdf https://risweb.st-andrews.ac.uk/portal/en/researchoutput/pytrx(34a5f64d-430c-4822-a4e0-40b19b82d996).html https://doi.org/10.3389/feart.2020.00021 https://research-repository.st-andrews.ac.uk/bitstream/10023/19499/1/How_2020_FES_PyTrx_CC.pdf eng eng info:eu-repo/semantics/openAccess How , P , Hulton , N R J , Buie , L & Benn , D I 2020 , ' PyTrx : a python-based monoscopic terrestrial photogrammetry toolset for glaciology ' , Frontiers in Earth Science , vol. 8 , 21 . https://doi.org/10.3389/feart.2020.00021 Glacier dynamics Photogrammetry Python Tidewater glaciers Time-lapse article 2020 ftunstandrewcris https://doi.org/10.3389/feart.2020.00021 2021-12-26T14:36:14Z Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, however, the potential usefulness of time-lapse data is limited by the unavailability of user-friendly photogrammetry toolsets. Such data are used primarily to calculate ice flow velocities or to serve as qualitative records. PyTrx (available at https://github.com/PennyHow/PyTrx) is presented here as a Python-alternative toolset to widen the range of monoscopic photogrammetry (i.e., from a single viewpoint) toolsets on offer to the glaciology community. The toolset holds core photogrammetric functions for template generation, feature-tracking, camea calibration and optimization, image registration, and georectification (using a planar projective transformation model). In addition, PyTrx facilitates areal and line measurements, which can be detected from imagery using either an automated or manual approach. Examples of PyTrx's applications are demonstrated using time-lapse imagery from Kronebreen and Tunabreen, two tidewater glaciers in Svalbard. Products from these applications include ice flow velocities, surface areas of supraglacial lakes and meltwater plumes, and glacier terminus profiles. Article in Journal/Newspaper glacier Svalbard Tidewater University of St Andrews: Research Portal Kronebreen ENVELOPE(13.333,13.333,78.833,78.833) Svalbard Tunabreen ENVELOPE(17.387,17.387,78.461,78.461) Frontiers in Earth Science 8 |
institution |
Open Polar |
collection |
University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
topic |
Glacier dynamics Photogrammetry Python Tidewater glaciers Time-lapse |
spellingShingle |
Glacier dynamics Photogrammetry Python Tidewater glaciers Time-lapse How, Penelope Hulton, Nicholas R. J. Buie, Lynne Benn, Douglas I. PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
topic_facet |
Glacier dynamics Photogrammetry Python Tidewater glaciers Time-lapse |
description |
Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, however, the potential usefulness of time-lapse data is limited by the unavailability of user-friendly photogrammetry toolsets. Such data are used primarily to calculate ice flow velocities or to serve as qualitative records. PyTrx (available at https://github.com/PennyHow/PyTrx) is presented here as a Python-alternative toolset to widen the range of monoscopic photogrammetry (i.e., from a single viewpoint) toolsets on offer to the glaciology community. The toolset holds core photogrammetric functions for template generation, feature-tracking, camea calibration and optimization, image registration, and georectification (using a planar projective transformation model). In addition, PyTrx facilitates areal and line measurements, which can be detected from imagery using either an automated or manual approach. Examples of PyTrx's applications are demonstrated using time-lapse imagery from Kronebreen and Tunabreen, two tidewater glaciers in Svalbard. Products from these applications include ice flow velocities, surface areas of supraglacial lakes and meltwater plumes, and glacier terminus profiles. |
format |
Article in Journal/Newspaper |
author |
How, Penelope Hulton, Nicholas R. J. Buie, Lynne Benn, Douglas I. |
author_facet |
How, Penelope Hulton, Nicholas R. J. Buie, Lynne Benn, Douglas I. |
author_sort |
How, Penelope |
title |
PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
title_short |
PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
title_full |
PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
title_fullStr |
PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
title_full_unstemmed |
PyTrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
title_sort |
pytrx:a python-based monoscopic terrestrial photogrammetry toolset for glaciology |
publishDate |
2020 |
url |
https://risweb.st-andrews.ac.uk/portal/en/researchoutput/pytrx(34a5f64d-430c-4822-a4e0-40b19b82d996).html https://doi.org/10.3389/feart.2020.00021 https://research-repository.st-andrews.ac.uk/bitstream/10023/19499/1/How_2020_FES_PyTrx_CC.pdf |
long_lat |
ENVELOPE(13.333,13.333,78.833,78.833) ENVELOPE(17.387,17.387,78.461,78.461) |
geographic |
Kronebreen Svalbard Tunabreen |
geographic_facet |
Kronebreen Svalbard Tunabreen |
genre |
glacier Svalbard Tidewater |
genre_facet |
glacier Svalbard Tidewater |
op_source |
How , P , Hulton , N R J , Buie , L & Benn , D I 2020 , ' PyTrx : a python-based monoscopic terrestrial photogrammetry toolset for glaciology ' , Frontiers in Earth Science , vol. 8 , 21 . https://doi.org/10.3389/feart.2020.00021 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3389/feart.2020.00021 |
container_title |
Frontiers in Earth Science |
container_volume |
8 |
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1766010208660750336 |