Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores

Computed X-ray Tomography is a non-destructive technique that allows three-dimensional imaging of soil samples' internal structures, determined by variations in their density and atomic composition. This study's objective was to develop an image processing workflow for the quantitative ana...

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Main Authors: Gadylyaev, Damir, Nitzbon, Jan, Schlüter, Steffen, Köhne, John Maximilian, Grosse, Guido, Boike, Julia
Format: Conference Object
Language:unknown
Published: Institute of Soil Science, Universität Hamburg 2021
Subjects:
Ice
Online Access:https://epic.awi.de/id/eprint/53939/
https://hdl.handle.net/10013/epic.e6085712-d590-44d1-b9db-8cc897402888
id ftawi:oai:epic.awi.de:53939
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spelling ftawi:oai:epic.awi.de:53939 2024-09-15T18:11:25+00:00 Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores Gadylyaev, Damir Nitzbon, Jan Schlüter, Steffen Köhne, John Maximilian Grosse, Guido Boike, Julia 2021-03-25 https://epic.awi.de/id/eprint/53939/ https://hdl.handle.net/10013/epic.e6085712-d590-44d1-b9db-8cc897402888 unknown Institute of Soil Science, Universität Hamburg Gadylyaev, D. , Nitzbon, J. orcid:0000-0001-7205-6298 , Schlüter, S. , Köhne, J. M. , Grosse, G. orcid:0000-0001-5895-2141 and Boike, J. orcid:0000-0002-5875-2112 (2021) Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores , International Online Symposium “Focus Siberian Permafrost”, Virtual/Online, 24 March 2021 - 25 March 2021 . hdl:10013/epic.e6085712-d590-44d1-b9db-8cc897402888 EPIC3International Online Symposium “Focus Siberian Permafrost”, Virtual/Online, 2021-03-24-2021-03-25Institute of Soil Science, Universität Hamburg Conference notRev 2021 ftawi 2024-06-24T04:26:11Z Computed X-ray Tomography is a non-destructive technique that allows three-dimensional imaging of soil samples' internal structures, determined by variations in their density and atomic composition. This study's objective was to develop an image processing workflow for the quantitative analysis of ice cores using high-resolution CT in order to determine the volume fraction and vertical distribution of ice, mineral, gas, and organic matter in permafrost cores. We analyzed a 155 cm permafrost core taken from a Yedoma permafrost upland on Kurungnakh Island in the Lena River Delta (Northeast Siberia). The obtained results were evaluated and compared with the results of detailed, but sample-destructive laboratory analysis. The frozen permafrost core was subjected to a computerized X-ray imaging procedure with a resolution of 50 micrometers. As a result, we obtained 31000 images. Noise in the raw images is removed with a non-local means denoising filter. We chose multilevel thresholding method for the image segmentation step. Threshold values were determined based on the histograms of the images. We measured the volumetric ice content (VIC) using Java-based image processing software (ImageJ). In addition, the vertical profiles were analyzed in 1-2 cm intervals. We received bulk densities and VIC by freeze-drying and standard laboratory analysis. From the top of the core and until roughly 86 cm, it mainly consists of ice and organic, with an average of 67% and 30% results, respectively. The rest of the volume is divided almost equally between air and mineral parts. Below 86 cm, it consists almost entirely of pure ice. The ice content constitutes around 97% of the composition, and air rises to roughly 3%, while mineral and organic are almost equal to zero. The difference between VIC derived through CT scan and laboratory-derived VIC lies within the range of -37% to 25%. However, the vast majority of values lies within the range of -10% to 10%. This image processing technique to quantify VIC provides a non-destructive ... Conference Object Ice lena river permafrost Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Computed X-ray Tomography is a non-destructive technique that allows three-dimensional imaging of soil samples' internal structures, determined by variations in their density and atomic composition. This study's objective was to develop an image processing workflow for the quantitative analysis of ice cores using high-resolution CT in order to determine the volume fraction and vertical distribution of ice, mineral, gas, and organic matter in permafrost cores. We analyzed a 155 cm permafrost core taken from a Yedoma permafrost upland on Kurungnakh Island in the Lena River Delta (Northeast Siberia). The obtained results were evaluated and compared with the results of detailed, but sample-destructive laboratory analysis. The frozen permafrost core was subjected to a computerized X-ray imaging procedure with a resolution of 50 micrometers. As a result, we obtained 31000 images. Noise in the raw images is removed with a non-local means denoising filter. We chose multilevel thresholding method for the image segmentation step. Threshold values were determined based on the histograms of the images. We measured the volumetric ice content (VIC) using Java-based image processing software (ImageJ). In addition, the vertical profiles were analyzed in 1-2 cm intervals. We received bulk densities and VIC by freeze-drying and standard laboratory analysis. From the top of the core and until roughly 86 cm, it mainly consists of ice and organic, with an average of 67% and 30% results, respectively. The rest of the volume is divided almost equally between air and mineral parts. Below 86 cm, it consists almost entirely of pure ice. The ice content constitutes around 97% of the composition, and air rises to roughly 3%, while mineral and organic are almost equal to zero. The difference between VIC derived through CT scan and laboratory-derived VIC lies within the range of -37% to 25%. However, the vast majority of values lies within the range of -10% to 10%. This image processing technique to quantify VIC provides a non-destructive ...
format Conference Object
author Gadylyaev, Damir
Nitzbon, Jan
Schlüter, Steffen
Köhne, John Maximilian
Grosse, Guido
Boike, Julia
spellingShingle Gadylyaev, Damir
Nitzbon, Jan
Schlüter, Steffen
Köhne, John Maximilian
Grosse, Guido
Boike, Julia
Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores
author_facet Gadylyaev, Damir
Nitzbon, Jan
Schlüter, Steffen
Köhne, John Maximilian
Grosse, Guido
Boike, Julia
author_sort Gadylyaev, Damir
title Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores
title_short Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores
title_full Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores
title_fullStr Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores
title_full_unstemmed Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores
title_sort applying computed tomography (ct) scanning for segmentation of permafrost constituents in drill cores
publisher Institute of Soil Science, Universität Hamburg
publishDate 2021
url https://epic.awi.de/id/eprint/53939/
https://hdl.handle.net/10013/epic.e6085712-d590-44d1-b9db-8cc897402888
genre Ice
lena river
permafrost
Siberia
genre_facet Ice
lena river
permafrost
Siberia
op_source EPIC3International Online Symposium “Focus Siberian Permafrost”, Virtual/Online, 2021-03-24-2021-03-25Institute of Soil Science, Universität Hamburg
op_relation Gadylyaev, D. , Nitzbon, J. orcid:0000-0001-7205-6298 , Schlüter, S. , Köhne, J. M. , Grosse, G. orcid:0000-0001-5895-2141 and Boike, J. orcid:0000-0002-5875-2112 (2021) Applying Computed Tomography (CT) scanning for segmentation of permafrost constituents in drill cores , International Online Symposium “Focus Siberian Permafrost”, Virtual/Online, 24 March 2021 - 25 March 2021 . hdl:10013/epic.e6085712-d590-44d1-b9db-8cc897402888
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