UAV and TLS for monitoring a creek in an alpine environment, Styria, Austria

Seier, Gernot; Stangl, Johannes; Schöttl, Stefan; Sulzer, Wolfgang; Sass, Oliver

doi:10.1080/01431161.2016.1277045

Cited by 22 publications

(17 citation statements)

References 12 publications

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“…The DEMs' accuracy level reached is in the same range as in other UAS studies, both related to glaciers [8] or other topics [19,35]. One main reason for that is the density of GCP measurements that in our case was about 0.5 GCPs·ha −1 and matches well the results in a similar order of magnitude, e.g., [8,19,35].…”

Section: Discussionsupporting

confidence: 76%

Section: Discussionsupporting

confidence: 52%

“…Reference [36] highlights the need for visualization of DEM error estimates, e.g., RMSE, in order to check for potentially systematic errors. In Section 3.3.2, we showed GCP-related RMSEs in a spatial context and therefore agree with this approach, which was already used by, e.g., [19]. However, amongst the methods used for assessing the DEMs' accuracy in this study, the usage of independent check points is probably the most valuable method.…”

Section: Discussionmentioning

confidence: 65%

“…One main reason for that is the density of GCP measurements that in our case was about 0.5 GCPs·ha −1 and matches well the results in a similar order of magnitude, e.g., [8,19,35]. Reference [36] highlights the need for visualization of DEM error estimates, e.g., RMSE, in order to check for potentially systematic errors.…”

Section: Discussionmentioning

confidence: 79%

“…To achieve these goals, this study follows an established procedure of UAS studies already shown for non-glaciological questions dealing with morphological changes, e.g., [17][18][19]. Proglacial dead ice conditions are investigated by electrical resistivity tomography (ERT) profiles.…”

Section: Introductionmentioning

confidence: 99%

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UAS-Based Change Detection of the Glacial and Proglacial Transition Zone at Pasterze Glacier, Austria

et al. 2017

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Abstract:Glacier-related applications of unmanned aircraft systems (UAS) in high mountain regions with steep topography are relatively rare. This study makes a contribution to the lack of UAS applications in studying alpine glaciers in the European Alps. We transferred an established workflow of UAS-based change detection procedures to Austria's largest glacier, the Pasterze Glacier. We focused on a selected part of the glacier tongue and its proglacial vicinity to obtain detailed knowledge of (i) the behavior of a lateral crevasse field, (ii) the evolution of glacier surface structures and velocity fields, (iii) glacier ablation behavior and the current glacier margin, and (iv) proglacial dead ice conditions and dead ice ablation. Based on two UAS flight campaigns, accomplished in 2016 (51 days apart), we produced digital elevation models (DEMs) and orthophotos with a ground sampling distance (GSD) of 0.15 m using Structure-from-Motion (SfM) photogrammetry. Electrical resistivity tomography (ERT) profiling was additionally conducted in the proglacial area. Results indicate distinct changes in the crevasse field with massive ice collapses, rapid glacier recession, surface lowering (mean of −0.9 m), and ice disintegration at the margins, calculated degree day factors on the order of −7 to −11 mm d −1 · • C −1 for clean ice parts, and minimal changes of the debris-covered dead ice in the proglacial area. With this contribution we highlight the benefit of UAS in comparison to commonly used terrestrial methods and satellite-related approaches.

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