EGU2020-22558
https://doi.org/10.5194/egusphere-egu2020-22558
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

PyTrx: a Python-based monoscopic terrestrial photogrammetry toolset for glaciology

Penelope How1,2, Nicholas Hulton2, Lynne Buie2, and Douglas Benn3
Penelope How et al.
  • 1Department of Remote Sensing, Asiaq Greenland Survey, Greenland (how@asiaq.gl)
  • 2School of GeoSciences, University of Edinburgh, Edinburgh, UK
  • 3School of Geography and Sustainable Development, University of St. Andrews, St Andrews, UK

Terrestrial photogrammetry is a growing method for deriving measurements from contemporary and historical imagery of glacial environments, providing unique insights into glacier change at a high spatio-temporal resolution. However, the potential usefulness of terrestrial image data is currently limited by the unavailability of user-friendly toolsets that contain all the photogrammetry processes required. 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, object identification, image registration, and georectification (using a planar projective transformation model), which can be performed on both contemporary and historical imagery. Examples of PyTrx's applications are demonstrated using contemporary time-lapse imagery, including ice flow velocities, surface areas of supraglacial lakes and meltwater plumes, and glacier terminus profiles.

How to cite: How, P., Hulton, N., Buie, L., and Benn, D.: PyTrx: a Python-based monoscopic terrestrial photogrammetry toolset for glaciology, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22558, https://doi.org/10.5194/egusphere-egu2020-22558, 2020

Display materials

Display file

Comments on the display material

AC: Author Comment | CC: Community Comment | Report abuse

Display material version 1 – uploaded on 14 Apr 2020, no comments