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Multi-scale curvature for automated identification of glaciated mountain landscapes()

Erosion by glacial and fluvial processes shapes mountain landscapes in a long-recognized and characteristic way. Upland valleys incised by fluvial processes typically have a V-shaped cross-section with uniform and moderately steep slopes, whereas glacial valleys tend to have a U-shaped profile with...

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Autores principales: Prasicek, Günther, Otto, Jan-Christoph, Montgomery, David R., Schrott, Lothar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991310/
https://www.ncbi.nlm.nih.gov/pubmed/24748703
http://dx.doi.org/10.1016/j.geomorph.2013.11.026
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author Prasicek, Günther
Otto, Jan-Christoph
Montgomery, David R.
Schrott, Lothar
author_facet Prasicek, Günther
Otto, Jan-Christoph
Montgomery, David R.
Schrott, Lothar
author_sort Prasicek, Günther
collection PubMed
description Erosion by glacial and fluvial processes shapes mountain landscapes in a long-recognized and characteristic way. Upland valleys incised by fluvial processes typically have a V-shaped cross-section with uniform and moderately steep slopes, whereas glacial valleys tend to have a U-shaped profile with a changing slope gradient. We present a novel regional approach to automatically differentiate between fluvial and glacial mountain landscapes based on the relation of multi-scale curvature and drainage area. Sample catchments are delineated and multiple moving window sizes are used to calculate per-cell curvature over a variety of scales ranging from the vicinity of the flow path at the valley bottom to catchment sections fully including valley sides. Single-scale curvature can take similar values for glaciated and non-glaciated catchments but a comparison of multi-scale curvature leads to different results according to the typical cross-sectional shapes. To adapt these differences for automated classification of mountain landscapes into areas with V- and U-shaped valleys, curvature values are correlated with drainage area and a new and simple morphometric parameter, the Difference of Minimum Curvature (DMC), is developed. At three study sites in the western United States the DMC thresholds determined from catchment analysis are used to automatically identify 5 × 5 km quadrats of glaciated and non-glaciated landscapes and the distinctions are validated by field-based geological and geomorphological maps. Our results demonstrate that DMC is a good predictor of glacial imprint, allowing automated delineation of glacially and fluvially incised mountain landscapes.
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spelling pubmed-39913102014-04-18 Multi-scale curvature for automated identification of glaciated mountain landscapes() Prasicek, Günther Otto, Jan-Christoph Montgomery, David R. Schrott, Lothar Geomorphology (Amst) Article Erosion by glacial and fluvial processes shapes mountain landscapes in a long-recognized and characteristic way. Upland valleys incised by fluvial processes typically have a V-shaped cross-section with uniform and moderately steep slopes, whereas glacial valleys tend to have a U-shaped profile with a changing slope gradient. We present a novel regional approach to automatically differentiate between fluvial and glacial mountain landscapes based on the relation of multi-scale curvature and drainage area. Sample catchments are delineated and multiple moving window sizes are used to calculate per-cell curvature over a variety of scales ranging from the vicinity of the flow path at the valley bottom to catchment sections fully including valley sides. Single-scale curvature can take similar values for glaciated and non-glaciated catchments but a comparison of multi-scale curvature leads to different results according to the typical cross-sectional shapes. To adapt these differences for automated classification of mountain landscapes into areas with V- and U-shaped valleys, curvature values are correlated with drainage area and a new and simple morphometric parameter, the Difference of Minimum Curvature (DMC), is developed. At three study sites in the western United States the DMC thresholds determined from catchment analysis are used to automatically identify 5 × 5 km quadrats of glaciated and non-glaciated landscapes and the distinctions are validated by field-based geological and geomorphological maps. Our results demonstrate that DMC is a good predictor of glacial imprint, allowing automated delineation of glacially and fluvially incised mountain landscapes. Elsevier 2014-03-15 /pmc/articles/PMC3991310/ /pubmed/24748703 http://dx.doi.org/10.1016/j.geomorph.2013.11.026 Text en © 2013 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Prasicek, Günther
Otto, Jan-Christoph
Montgomery, David R.
Schrott, Lothar
Multi-scale curvature for automated identification of glaciated mountain landscapes()
title Multi-scale curvature for automated identification of glaciated mountain landscapes()
title_full Multi-scale curvature for automated identification of glaciated mountain landscapes()
title_fullStr Multi-scale curvature for automated identification of glaciated mountain landscapes()
title_full_unstemmed Multi-scale curvature for automated identification of glaciated mountain landscapes()
title_short Multi-scale curvature for automated identification of glaciated mountain landscapes()
title_sort multi-scale curvature for automated identification of glaciated mountain landscapes()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991310/
https://www.ncbi.nlm.nih.gov/pubmed/24748703
http://dx.doi.org/10.1016/j.geomorph.2013.11.026
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