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Remote Sens. 2018, 10(1), 43; doi:10.3390/rs10010043

A New Method for Automatically Tracing Englacial Layers from MCoRDS Data in NW Greenland

1
Imaging Group, Mullard Space Science Laboratory (MSSL), Department of Space & Climate Physics, University College London, Holmbury St. Mary, Dorking, Surrey RH5 6NT, UK
2
Comillas Pontifical University of Madrid, ICAI School of Engineering, Calle Alberto Aguilera, 25, 28015 Madrid, Spain
This paper is an extended version of our paper, “Extraction of Ice Sheet Layers from Two Intersected Radar Echograms near Neem Ice Core in Greenland”, published in International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 2016, 41, 585–591.
*
Author to whom correspondence should be addressed.
Received: 4 October 2017 / Revised: 11 December 2017 / Accepted: 23 December 2017 / Published: 27 December 2017
(This article belongs to the Special Issue Cryospheric Remote Sensing II)
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Abstract

Englacial layering reflects ice dynamics within the ice bodies, which improves understanding of ice flow variation, past accumulation rates and vertical flows transferring between the surface and the underlying bedrock. The internal layers can be observed by using Radar Echo Sounding (RES), such as the Multi-channel Coherent Radar Depth Sounder (MCoRDS) used in NASA’s Operation IceBridge (OIB) mission. Since the 1960s, the accumulation of the RES data has prompted the development of automated methods to extract the englacial layers. In this study, we propose a new automated method that combines peak detection methods, namely the CWT-based peak detection or the Automatic Phase Picker (APP), with a Hough Transform (HT) to trace boundaries of englacial layers. For CWT-based peak detection, we test it using two different wavelets. The proposed method is tested with twelve MCoRDS radio echograms, which are acquired south of the Northern Greenland Eemian (NEEM) ice drilling site, where the folding of ice layers was observed. The method is evaluated in comparison to the isochrones that were extracted in an independent study. In comparison, the proposed new automated method can restore more than 70% of the englacial layers. This new automated layer-tracing method is publicly available on github. View Full-Text
Keywords: subsurface mapping; Greenland ice sheet; radio echo sounder; internal reflections; operation IceBridge subsurface mapping; Greenland ice sheet; radio echo sounder; internal reflections; operation IceBridge
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xiong, S.; Muller, J.-P.; Carretero, R.C. A New Method for Automatically Tracing Englacial Layers from MCoRDS Data in NW Greenland. Remote Sens. 2018, 10, 43.

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