Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing

Warming in the Arctic causes strong environmental changes with degradation of permafrost (permanently frozen ground). Active layer deepening (gradual thaw) and permafrost erosion (abrupt thaw) results in the mobilization and lateral transport of organic carbon, altering current carbon cycling in the...

Full description

Bibliographic Details
Main Authors: Pika, Philip, Tanski, George, Ulrich, Mathias, Roy, Louis-Philippe, Calmels, Fabrice, Lantuit, Hugues, Fortier, Daniel, Fritz, Michael, Vonk, Jorien E.
Format: Conference Object
Language:unknown
Published: 2022
Subjects:
Ice
Online Access:https://epic.awi.de/id/eprint/57030/
https://epic.awi.de/id/eprint/57030/1/EGU22-10196-print.pdf
https://doi.org/10.5194/egusphere-egu22-10196
https://hdl.handle.net/10013/epic.7605bb74-8ec5-4fd0-a23a-daedc742c493
https://hdl.handle.net/
id ftawi:oai:epic.awi.de:57030
record_format openpolar
spelling ftawi:oai:epic.awi.de:57030 2023-05-15T14:56:42+02:00 Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing Pika, Philip Tanski, George Ulrich, Mathias Roy, Louis-Philippe Calmels, Fabrice Lantuit, Hugues Fortier, Daniel Fritz, Michael Vonk, Jorien E. 2022-05 application/pdf https://epic.awi.de/id/eprint/57030/ https://epic.awi.de/id/eprint/57030/1/EGU22-10196-print.pdf https://doi.org/10.5194/egusphere-egu22-10196 https://hdl.handle.net/10013/epic.7605bb74-8ec5-4fd0-a23a-daedc742c493 https://hdl.handle.net/ unknown https://epic.awi.de/id/eprint/57030/1/EGU22-10196-print.pdf https://hdl.handle.net/ Pika, P. orcid:0000-0003-2381-1386 , Tanski, G. orcid:0000-0002-2992-2071 , Ulrich, M. orcid:0000-0002-1337-252X , Roy, L. P. , Calmels, F. orcid:0000-0002-7356-5366 , Lantuit, H. orcid:0000-0003-1497-6760 , Fortier, D. orcid:0000-0003-0908-6157 , Fritz, M. orcid:0000-0003-4591-7325 and Vonk, J. E. orcid:0000-0002-1206-5878 (2022) Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing , EGU General Assembly 2022, Vienna, Austria, 23 May 2022 - 27 May 2022 . doi:10.5194/egusphere-egu22-10196 <https://doi.org/10.5194/egusphere-egu22-10196> , hdl:10013/epic.7605bb74-8ec5-4fd0-a23a-daedc742c493 EPIC3EGU General Assembly 2022, Vienna, Austria, 2022-05-23-2022-05-27Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing Conference notRev 2022 ftawi https://doi.org/10.5194/egusphere-egu22-10196 2022-10-09T23:12:47Z Warming in the Arctic causes strong environmental changes with degradation of permafrost (permanently frozen ground). Active layer deepening (gradual thaw) and permafrost erosion (abrupt thaw) results in the mobilization and lateral transport of organic carbon, altering current carbon cycling in the Arctic. Ground ice content is a crucial factor limiting our understanding and ability to determine the rates and dynamics of permafrost thaw and its impact on potential thaw subsidence rates, changes in lateral hydrological pathways and its driving mechanisms on a landscape scale. In this study we investigate ground ice content and its characteristics across the most dominant landscape units of the Yukon coastal plain (Canadian Arctic), using two spatially and technically contrasting approaches. In our bottom-up approach, twelve permafrost cores were collected from moraine, lacustrine, fluvial and glaciofluvial deposits using a SIPRE corer (mean drilling depth of 2 m) in spring of 2019. Ground ice and sediment contents within polygon centers were analyzed and classified using computed tomography and image recognition software (k-means). Our top-down approach quantified ice-wedge volumes from remote sensing imagery tracing the circumference of polygon troughs over the same area. Preliminary results - extrapolated to the entire coastal plain - show that the ground-ice content in polygon centers vary significantly from massive ice in the polygon troughs (wedge-ice). Total ice volume was estimated around 80.2 vol.-%, of which 68.2 ± 18.1 vol.-% was attributed to ground ice in polygon centers, and 12 ± 3.1 vol.-% of the landscape is massive ice in wedge-ice along polygon troughs. Additionally, differences among and between landscape units are also substantial, with highest ice volume contents in moraines landscapes, where polygon centers contain 58.8 vol.-% ground ice and wedge-ice volume is 16.2 vol.-%), while the lowest ice contents are found in glacio-fluvial deposits (22.1 vol.-% resp. 9.1 vol.-%). Our results reveal ... Conference Object Arctic Ice permafrost wedge* Yukon Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Yukon
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 Warming in the Arctic causes strong environmental changes with degradation of permafrost (permanently frozen ground). Active layer deepening (gradual thaw) and permafrost erosion (abrupt thaw) results in the mobilization and lateral transport of organic carbon, altering current carbon cycling in the Arctic. Ground ice content is a crucial factor limiting our understanding and ability to determine the rates and dynamics of permafrost thaw and its impact on potential thaw subsidence rates, changes in lateral hydrological pathways and its driving mechanisms on a landscape scale. In this study we investigate ground ice content and its characteristics across the most dominant landscape units of the Yukon coastal plain (Canadian Arctic), using two spatially and technically contrasting approaches. In our bottom-up approach, twelve permafrost cores were collected from moraine, lacustrine, fluvial and glaciofluvial deposits using a SIPRE corer (mean drilling depth of 2 m) in spring of 2019. Ground ice and sediment contents within polygon centers were analyzed and classified using computed tomography and image recognition software (k-means). Our top-down approach quantified ice-wedge volumes from remote sensing imagery tracing the circumference of polygon troughs over the same area. Preliminary results - extrapolated to the entire coastal plain - show that the ground-ice content in polygon centers vary significantly from massive ice in the polygon troughs (wedge-ice). Total ice volume was estimated around 80.2 vol.-%, of which 68.2 ± 18.1 vol.-% was attributed to ground ice in polygon centers, and 12 ± 3.1 vol.-% of the landscape is massive ice in wedge-ice along polygon troughs. Additionally, differences among and between landscape units are also substantial, with highest ice volume contents in moraines landscapes, where polygon centers contain 58.8 vol.-% ground ice and wedge-ice volume is 16.2 vol.-%), while the lowest ice contents are found in glacio-fluvial deposits (22.1 vol.-% resp. 9.1 vol.-%). Our results reveal ...
format Conference Object
author Pika, Philip
Tanski, George
Ulrich, Mathias
Roy, Louis-Philippe
Calmels, Fabrice
Lantuit, Hugues
Fortier, Daniel
Fritz, Michael
Vonk, Jorien E.
spellingShingle Pika, Philip
Tanski, George
Ulrich, Mathias
Roy, Louis-Philippe
Calmels, Fabrice
Lantuit, Hugues
Fortier, Daniel
Fritz, Michael
Vonk, Jorien E.
Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
author_facet Pika, Philip
Tanski, George
Ulrich, Mathias
Roy, Louis-Philippe
Calmels, Fabrice
Lantuit, Hugues
Fortier, Daniel
Fritz, Michael
Vonk, Jorien E.
author_sort Pika, Philip
title Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
title_short Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
title_full Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
title_fullStr Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
title_full_unstemmed Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
title_sort landscape-related ground ice variability on the yukon coastal plain inferred from computed tomography and remote sensing
publishDate 2022
url https://epic.awi.de/id/eprint/57030/
https://epic.awi.de/id/eprint/57030/1/EGU22-10196-print.pdf
https://doi.org/10.5194/egusphere-egu22-10196
https://hdl.handle.net/10013/epic.7605bb74-8ec5-4fd0-a23a-daedc742c493
https://hdl.handle.net/
geographic Arctic
Yukon
geographic_facet Arctic
Yukon
genre Arctic
Ice
permafrost
wedge*
Yukon
genre_facet Arctic
Ice
permafrost
wedge*
Yukon
op_source EPIC3EGU General Assembly 2022, Vienna, Austria, 2022-05-23-2022-05-27Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing
op_relation https://epic.awi.de/id/eprint/57030/1/EGU22-10196-print.pdf
https://hdl.handle.net/
Pika, P. orcid:0000-0003-2381-1386 , Tanski, G. orcid:0000-0002-2992-2071 , Ulrich, M. orcid:0000-0002-1337-252X , Roy, L. P. , Calmels, F. orcid:0000-0002-7356-5366 , Lantuit, H. orcid:0000-0003-1497-6760 , Fortier, D. orcid:0000-0003-0908-6157 , Fritz, M. orcid:0000-0003-4591-7325 and Vonk, J. E. orcid:0000-0002-1206-5878 (2022) Landscape-related ground ice variability on the Yukon coastal plain inferred from computed tomography and remote sensing , EGU General Assembly 2022, Vienna, Austria, 23 May 2022 - 27 May 2022 . doi:10.5194/egusphere-egu22-10196 <https://doi.org/10.5194/egusphere-egu22-10196> , hdl:10013/epic.7605bb74-8ec5-4fd0-a23a-daedc742c493
op_doi https://doi.org/10.5194/egusphere-egu22-10196
_version_ 1766328789563867136