A New Method for Automatically Tracing Englacial Layers from MCoRDS Data in NW Greenland
Fecha
02/01/2018Autor
Estado
info:eu-repo/semantics/publishedVersionMetadatos
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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 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
A New Method for Automatically Tracing Englacial
Layers from MCoRDS Data in NW Greenland
Tipo de Actividad
Artículos en revistasISSN
2072-4292Palabras Clave
subsurface mapping; Greenland ice sheet; radio echo sounder; internal reflections; operation IceBridgesubsurface mapping; Greenland ice sheet; radio echo sounder; internal reflections; operation IceBridge