PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology

Frontiers in Earth Science

Nicholas R. J. Hulton¹  Penelope How²  Lynne Buie³  Douglas I. Benn⁴ 

[1] Department of Arctic Geology, University Centre in Svalbard (UNIS), Longyearbyen, Norway;Department of Remote Sensing, Asiaq Greenland Survey, Nuuk, Greenland;Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom;;School of Geography &

关键词: glacier dynamics;    photogrammetry;    python;    tidewater glaciers;    time-lapse;   

DOI  :  10.3389/feart.2020.00021

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown