Crynodeb
Using satellite remote sensing, this study aims to assess the validity of upscaling ground-based structural observations of small valley glaciers, to larger-scale ice masses that are too vast or inaccessible for field-study or ground-truthing. Focusing on four adjacent valley glaciers on Bylot Island, Nunavut, Arctic Canada, we establish that ground-based structural observations from two smaller (Stagnation and Fountain Glaciers) can be used to interpret the structures visible in optical satellite imagery in two much larger glaciers (Aktineq and Sermilik Glaciers). All the glaciers investigated have prominent longitudinal lineations, which are interpreted from ground observations to be longitudinal foliation. Other structures that were identified include primary stratification, crevasses, crevasse traces, and thrust-faults. Strong longitudinal foliation is concentrated at flow-unit boundaries, with differential ablation of ice facies commonly resulting in a ridge-and-furrow supraglacial topography that controls supraglacial streams and debris concentrations. Consequently, areas of strong foliation appear darker than areas of weak foliation in satellite imagery. As coarser resolution imagery is utilized to map large-scale ice masses, sub-pixel structural information is lost. Individual lineations mapped in coarser resolution imagery therefore probably comprise groups of clustered foliation at the sub-pixel scale. Lateral narrowing measurements and calculated one-dimensional strain across zones of longitudinal foliation are assessed as a tool for identifying large-scale surface strain patterns, in particular large-scale pure shear regimes. These one-dimensional strain measurements suggest that flow-unit boundaries are areas that undergo considerable cumulative strains. The upscaling approach used here can be applied to the largest ice masses, notably the Antarctic Ice Sheet.
Iaith wreiddiol | Saesneg |
---|---|
Tudalennau (o-i) | 2130-2150 |
Nifer y tudalennau | 21 |
Cyfnodolyn | Earth Surface Processes and Landforms |
Cyfrol | 47 |
Rhif cyhoeddi | 8 |
Dyddiad ar-lein cynnar | 27 Ebr 2022 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 30 Meh 2022 |