Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method
Changes in the calving front position of marine-terminating glaciers strongly influence the mass balance of glaciers, ice caps, and ice sheets. At present, quantification of frontal position change primarily relies on time-consuming and subjective manual mapping techniques, limiting our ability to u...
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ftboisestateu:oai:scholarworks.boisestate.edu:geo_facpubs-1628 2023-10-29T02:40:04+01:00 Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method Liu, Julia Enderlin, Ellyn M. Marshall, Hans-Peter Khalil, Andre 2021-11-01T07:00:00Z application/pdf https://scholarworks.boisestate.edu/geo_facpubs/623 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1628/viewcontent/Enderlin__Ellyn__2021__Automated_detection_of_marine___pub.pdf unknown ScholarWorks https://scholarworks.boisestate.edu/geo_facpubs/623 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1628/viewcontent/Enderlin__Ellyn__2021__Automated_detection_of_marine___pub.pdf http://creativecommons.org/licenses/by/4.0/ Geosciences Faculty Publications and Presentations computational infrastructure Cryosphere geographic information systems (GIS) optical data CGISS Earth Sciences Geophysics and Seismology text 2021 ftboisestateu 2023-09-29T15:22:39Z Changes in the calving front position of marine-terminating glaciers strongly influence the mass balance of glaciers, ice caps, and ice sheets. At present, quantification of frontal position change primarily relies on time-consuming and subjective manual mapping techniques, limiting our ability to understand changes to glacier calving fronts. Here we describe a newly developed automated method of mapping glacier calving fronts in satellite imagery using observations from a representative sample of Greenland’s peripheral marine-terminating glaciers. Our method is adapted from the 2-D wavelet transform modulus maxima (WTMM) segmentation method, which has been used previously for image segmentation in biomedical and other applied science fields. The gradient-based method places edge detection lines along regions with the greatest intensity gradient in the image, such as the contrast between glacier ice and water or glacier ice and sea ice. The lines corresponding to the calving front are identified using thresholds for length, average gradient value, and orientation that minimize the misfit with respect to a manual validation data set. We demonstrate that the method is capable of mapping glacier calving fronts over a wide range of image conditions (light to intermediate cloud cover, dim or bright, mélange presence, etc.). With these time series, we are able to resolve subseasonal to multiyear temporal patterns as well as regional patterns in glacier frontal position change. Text Sea ice Boise State University: Scholar Works |
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Open Polar |
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Boise State University: Scholar Works |
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ftboisestateu |
language |
unknown |
topic |
computational infrastructure Cryosphere geographic information systems (GIS) optical data CGISS Earth Sciences Geophysics and Seismology |
spellingShingle |
computational infrastructure Cryosphere geographic information systems (GIS) optical data CGISS Earth Sciences Geophysics and Seismology Liu, Julia Enderlin, Ellyn M. Marshall, Hans-Peter Khalil, Andre Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method |
topic_facet |
computational infrastructure Cryosphere geographic information systems (GIS) optical data CGISS Earth Sciences Geophysics and Seismology |
description |
Changes in the calving front position of marine-terminating glaciers strongly influence the mass balance of glaciers, ice caps, and ice sheets. At present, quantification of frontal position change primarily relies on time-consuming and subjective manual mapping techniques, limiting our ability to understand changes to glacier calving fronts. Here we describe a newly developed automated method of mapping glacier calving fronts in satellite imagery using observations from a representative sample of Greenland’s peripheral marine-terminating glaciers. Our method is adapted from the 2-D wavelet transform modulus maxima (WTMM) segmentation method, which has been used previously for image segmentation in biomedical and other applied science fields. The gradient-based method places edge detection lines along regions with the greatest intensity gradient in the image, such as the contrast between glacier ice and water or glacier ice and sea ice. The lines corresponding to the calving front are identified using thresholds for length, average gradient value, and orientation that minimize the misfit with respect to a manual validation data set. We demonstrate that the method is capable of mapping glacier calving fronts over a wide range of image conditions (light to intermediate cloud cover, dim or bright, mélange presence, etc.). With these time series, we are able to resolve subseasonal to multiyear temporal patterns as well as regional patterns in glacier frontal position change. |
format |
Text |
author |
Liu, Julia Enderlin, Ellyn M. Marshall, Hans-Peter Khalil, Andre |
author_facet |
Liu, Julia Enderlin, Ellyn M. Marshall, Hans-Peter Khalil, Andre |
author_sort |
Liu, Julia |
title |
Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method |
title_short |
Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method |
title_full |
Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method |
title_fullStr |
Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method |
title_full_unstemmed |
Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method |
title_sort |
automated detection of marine glacier calving fronts using the 2-d wavelet transform modulus maxima segmentation method |
publisher |
ScholarWorks |
publishDate |
2021 |
url |
https://scholarworks.boisestate.edu/geo_facpubs/623 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1628/viewcontent/Enderlin__Ellyn__2021__Automated_detection_of_marine___pub.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geosciences Faculty Publications and Presentations |
op_relation |
https://scholarworks.boisestate.edu/geo_facpubs/623 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1628/viewcontent/Enderlin__Ellyn__2021__Automated_detection_of_marine___pub.pdf |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
_version_ |
1781067878010716160 |