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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/15396

Title: Testing techniques to quantify drumlin height and volume: Synthetic DEMs as a diagnostic tool
Authors: Hillier, John K.
Smith, Mike J.
Keywords: Subglacial
Issue Date: 2014
Publisher: © John Wiley & Sons, Ltd.
Citation: HILLIER, J.K. and SMITH, M.J., 2014. Testing techniques to quantify drumlin height and volume: Synthetic DEMs as a diagnostic tool. Earth Surface Processes and Landforms, 39 (5), pp. 676 - 688.
Abstract: Glacial bedform height (H) and volume (V) likely preserve important information about the behaviour of former ice sheets. However, large systematic errors exist in the measurement of H and V. Three semi-automated methods to isolate drumlins from other components of the landscape (e.g. trees, hills) as portrayed by NEXTMap have recently been devised; however, it is unclear which is most accurate. This paper undertakes the first quantitative comparison of such readily implementable methods, illustrating the use of statistically representative 'synthetic landscapes' as a diagnostic tool. From this analysis, guidelines for quantifying the 3D attributes of drumlins are proposed. Specifically, to avoid obtaining incorrect estimates caused by substantial systematic biases, interpreters should currently take three steps: declutter the digital elevation model for estimating H but not V; remove height data within the drumlin; then interpolate across the resultant hole to estimate a basal surface using Delaunay triangulation. Results are demonstrated through analysis of drumlins in an area in western central Scotland. The guidance arguably represents the best current advice for subglacial bedforms in general, highlighting the need for more studies into the quality of mapped data using synthetic landscapes.
Description: This article was published in the journal, Earth Surface Processes and Landforms [© John Wiley & Sons, Ltd.] and the definitive version is available at: http://dx.doi.org/10.1002/esp.3530
Version: Accepted for publication
DOI: 10.1002/esp.3530
URI: https://dspace.lboro.ac.uk/2134/15396
Publisher Link: http://dx.doi.org/10.1002/esp.3530
ISSN: 0197-9337
Appears in Collections:Published Articles (Geography)

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