Abstract
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.
Original language | English |
---|---|
Article number | 21 |
Number of pages | 17 |
Journal | Frontiers in Earth Science |
Volume | 8 |
DOIs | |
Publication status | Published - 13 Feb 2020 |
Keywords
- Glacier dynamics
- Photogrammetry
- Python
- Tidewater glaciers
- Time-lapse
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Dive into the research topics of 'PyTrx: a python-based monoscopic terrestrial photogrammetry toolset for glaciology'. Together they form a unique fingerprint.Datasets
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PyTrx: a python-based monoscopic terrestrial photogrammetry toolset for glaciology (Code)
How, P. (Creator), Hulton, N. R. J. (Creator), Buie, L. (Creator) & Benn, D. I. (Creator), GitHub, 2020
https://github.com/PennyHow/PyTrx
Dataset: Software