UAV photogrammetry and structure from motion to assess calving dynamics at Store Glacier, a large outlet draining the Greenland ice sheet
Permanent link
https://hdl.handle.net/10037/8814Date
2015-01-06Type
Journal articleTidsskriftartikkel
Peer reviewed
Author
Ryan, Johnny C.; Hubbard, Alun Lloyd; Box, Jason E.; Todd, Joe; Christoffersen, Poul; Carr, J. Rachel; Holt, Tom O.; Snooke, Neal A.Abstract
This study presents the application of a costeffective,
unmanned aerial vehicle (UAV) to investigate calving
dynamics at a major marine-terminating outlet glacier
draining the western sector of the Greenland ice sheet. The
UAV was flown over Store Glacier on three sorties during
summer 2013 and acquired over 2000 overlapping, geotagged
images of the calving front at an ∼ 40 cm ground
sampling distance. Stereo-photogrammetry applied to these
images enabled the extraction of high-resolution digital elevation
models (DEMs) with vertical accuracies of ± 1.9 m
which were used to quantify glaciological processes from
early July to late August 2013. The central zone of the calving
front advanced by ∼ 500 m, whilst the lateral margins remained
stable. The orientation of crevasses and the surface
velocity field derived from feature tracking indicates that lateral
drag is the primary resistive force and that ice flow varies
across the calving front from 2.5 m d−1
at the margins to in
excess of 16 m d−1
at the centreline. Ice flux through the
calving front is 3.8 × 107 m3 d
−1
, equivalent to 13.9 Gt a−1
and comparable to flux-gate estimates of Store Glacier’s annual
discharge. Water-filled crevasses were present throughout
the observation period but covered a limited area of between
0.025 and 0.24 % of the terminus and did not appear
to exert any significant control over fracture or calving. We
conclude that the use of repeat UAV surveys coupled with
the processing techniques outlined in this paper have great
potential for elucidating the complex frontal dynamics that
characterise large calving outlet glaciers.
Description
License: Creative Commons Attribution 3.0 License.