Glacier Image Velocimetry: an open-source toolbox for easy and rapid calculation of high-resolution glacier velocity fields
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Published:2021-04-28
Issue:4
Volume:15
Page:2115-2132
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Van Wyk de Vries MaximillianORCID, Wickert Andrew D.ORCID
Abstract
Abstract. 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'Argentière, France) and tropical glaciers (Volcán Chimborazo, Ecuador), as well as very large glaciers (Vavilov Ice Cap,
Russia). Fully commented MATLAB code and a stand-alone app for GIV are available from GitHub and Zenodo (see https://doi.org/10.5281/zenodo.4624831, Van Wyk de Vries, 2021a).
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
Reference84 articles.
1. Altena, B.:
Observing change in glacier flow by using optical satellites,
PhD thesis,
available at: https://www.duo.uio.no/handle/10852/61747 (last access: 24 April 2021), 2018. a, b, c 2. Altena, B., Scambos, T., Fahnestock, M., and Kääb, A.: Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data, The Cryosphere, 13, 795–814, https://doi.org/10.5194/tc-13-795-2019, 2019. a 3. Armstrong, W. H. and Anderson, R. S.:
Ice-marginal lake hydrology and the seasonal dynamical evolution of Kennicott Glacier, Alaska,
J. Glaciol., 66, 699–713, 2020. a 4. Bassford, R. P., Siegert, M. J., Dowdeswell, J. A., Oerlemans, J., Glazovsky, A. F., and Macheret, Y. Y.:
Quantifying the Mass Balance of Ice Caps on Severnaya Zemlya, Russian High Arctic. I: Climate and Mass Balance of the Vavilov Ice Cap,
Arct. Antarct. Alp. Res.,
38, 1–12, https://doi.org/10.1657/1523-0430(2006)038[0013:QTMBOI]2.0.CO;2, 2006. a 5. Benoit, L., Dehecq, A., Pham, H.-T., Vernier, F., Trouvé, E., Moreau, L., Martin, O., Thom, C., Pierrot-Deseilligny, M., and Briole, P.:
Multi-method monitoring of Glacier d'Argentière dynamics,
Ann. Glaciol.,
56, 118–128, https://doi.org/10.3189/2015AoG70A985, 2015. a, b, c
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