Terrestrial laser scanning to deliver high-resolution topography of the upper Tarfala valley, arctic Sweden
Alpine valleys are experiencing rapidly changing physical, biological and geochemical processes as glacier masses diminish, snowfall patterns change and consequently as hillslopes and valley-floor landforms and sediments adjust. Measurement and understanding of these processes on a valley, landform...
| Published in: | GFF |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Taylor and Francis
2015
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| Subjects: | |
| Online Access: | https://eprints.whiterose.ac.uk/87569/ https://eprints.whiterose.ac.uk/87569/1/Map_paper_R1_JLC.pdf https://doi.org/10.1080/11035897.2015.1037569 |
| Summary: | Alpine valleys are experiencing rapidly changing physical, biological and geochemical processes as glacier masses diminish, snowfall patterns change and consequently as hillslopes and valley-floor landforms and sediments adjust. Measurement and understanding of these processes on a valley, landform and surface scale requires topographic data with sufficient spatial coverage and spatial resolution to resolve sources, fluxes and storages of sediment. Most ideally such topographic data will be of a resolution sufficient to resolve important spatial heterogeneity in land cover, topography and surface texture, for example. This study presents the first high-resolution (1 m grid cell size) and freely available topography for the upper part of the Tarfala valley, arctic Sweden. The topography was obtained using terrestrial laser scanning and a bespoke workflow is presented to most efficiently cover a 9.3 km 2 area. The unprecedented spatial resolution of this topography, which is 15 times greater than that previously available, reveals a suite of alpine landforms. These landforms span multiple glacier forefields, a variety of bedrock surfaces, various hillslopes and types of mass movement, and valley floor glacial, fluvial and periglacial sediments, for example. Primary and second-order derivatives of this elevation data, and vertical transects are given and will assist future classification of landforms and thus assist future targeted field campaigns. Overall, this study presents (1) baseline data from which future re-surveys will enable quantitative analysis of a dynamic landscape, and (2) an efficient workflow that is readily transferable to any scientific study at any other site. Both of these project outputs will find widespread usage in future alpine studies. |
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