4.6 Article

Glacier Image Velocimetry: an open-source toolbox for easy and rapid calculation of high-resolution glacier velocity fields

Journal

CRYOSPHERE
Volume 15, Issue 4, Pages 2115-2132

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/tc-15-2115-2021

Keywords

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Funding

  1. United States National Science Foundation [EAR-1714614]

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GIV is an open-source software toolkit for calculating high-spatial-resolution glacier velocity fields rapidly, utilizing feature tracking to extract ice velocity information. It can analyze large datasets of image pairs on a laptop or desktop computer with an easy-to-use GUI.
We present Glacier Image Velocimetry (GIV), an open-source and easy-to-use software toolkit for rapidly calculating high-spatial-resolution glacier velocity fields. Glacier ice velocity fields reveal flow dynamics, ice-flux changes, and (with additional data and modelling) ice thickness. Obtaining glacier velocity measurements over wide areas with field techniques is labour intensive and often associated with safety risks. The recent increased availability of high-resolution, short-repeat-time optical imagery allows us to obtain ice displacement fields using feature tracking based on matching persistent irregularities on the ice surface between images and hence, surface velocity over time. GIV is fully parallelized and automatically detects, filters, and extracts velocities from large datasets of images. Through this coupled toolchain and an easy-to-use GUI, GIV can rapidly analyse hundreds to thousands of image pairs on a laptop or desktop computer. We present four example applications of the GIV toolkit in which we complement a glaciology field campaign (Glaciar Perito Moreno, Argentina) and calculate the velocity fields of small mid-latitude (Glacier d'Argentiere, France) and tropical glaciers (Volcan Chimborazo, Ecuador), as well as very large glaciers (Vavilov Ice Cap, Russia). Fully commented MATLAB code and a standalone app for GIV are available from GitHub and Zenodo (see https://doi.org/10.5281/zenodo.4624831, Van Wyk de Vries, 2021a).

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