Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands
Permafrost thaw resulting from climate warming is threatening to release carbon from high latitude peatlands. The aim of this research was to determine subsidence rates linked to permafrost thaw in sub-Arctic peatlands in Sweden using historical orthophotographic (orthophotos), Unoccupied Aerial Veh...
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Language: | English |
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School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, United Kingdom; School of Geography, University of Nottingham, University Park, Nottingham, United Kingdom
2022
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-8923 https://doi.org/10.3390/rs14030444 |
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ftsprs:oai:DiVA.org:polar-8923 2023-09-26T15:14:35+02:00 Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands de la Barreda-Bautista, Betsabe Boyd, Doreen S. Ledger, Martha Siewert, Matthias B. Chandler, Chris Bradley, Andrew V. Gee, David Large, David J. Olofsson, Johan Sowter, Andrew Sjögersten, Sofie 2022 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-8923 https://doi.org/10.3390/rs14030444 eng eng School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, United Kingdom; School of Geography, University of Nottingham, University Park, Nottingham, United Kingdom School of Geography, University of Nottingham, Nottingham, United Kingdom School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, United Kingdom Umeå universitet, Institutionen för ekologi, miljö och geovetenskap Department of Chemical and Environmental Engineering, Faculty of Engineering, Nottingham Geospatial Institute, Nottingham, United Kingdom Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, Nottingham, United Kingdom Department of Chemical and Environmental Engineering, Faculty of Engineering, Nottingham Geospatial Institute, Nottingham, United Kingdom; Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, Nottingham, United Kingdom Terra Motion Ltd, Ingenuity Centre, Nottingham, United Kingdom MDPI Remote Sensing, 2022, 14:3, orcid:0000-0003-2890-8873 orcid:0000-0002-6943-1218 http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-8923 doi:10.3390/rs14030444 Scopus 2-s2.0-85122975191 info:eu-repo/semantics/openAccess InSAR Peatland Permafrost Physical Geography Naturgeografi Climate Research Klimatforskning Article in journal info:eu-repo/semantics/article text 2022 ftsprs https://doi.org/10.3390/rs14030444 2023-08-30T22:38:20Z Permafrost thaw resulting from climate warming is threatening to release carbon from high latitude peatlands. The aim of this research was to determine subsidence rates linked to permafrost thaw in sub-Arctic peatlands in Sweden using historical orthophotographic (orthophotos), Unoccupied Aerial Vehicle (UAV), and Interferometric Synthetic Aperture Radar (InSAR) data. The orthophotos showed that the permafrost palsa on the study sites have been contracting in their areal extent, with the greatest rates of loss between 2002 and 2008. The surface motion estimated from differential digital elevation models from the UAV data showed high levels of subsidence (maxi-mum of −25 cm between 2017 and 2020) around the edges of the raised palsa plateaus. The InSAR data analysis showed that raised palsa areas had the greatest subsidence rates, with maximum subsidence rates of 1.5 cm between 2017 and 2020; however, all wetland vegetation types showed sub-sidence. We suggest that the difference in spatial units associated with each sensor explains parts of the variation in the subsidence levels recorded. We conclude that InSAR was able to identify the areas most at risk of subsidence and that it can be used to investigate subsidence over large spatial extents, whereas UAV data can be used to better understand the dynamics of permafrost degradation at a local level. These findings underpin a monitoring approach for these peatlands. This article belongs to the Special Issue Application of Remote Sensing for Monitoring of Peatlands. Article in Journal/Newspaper Arctic palsa permafrost Swedish Polar Research Secretariat: Swedish Polar Bibliography (DiVA) Arctic Remote Sensing 14 3 444 |
institution |
Open Polar |
collection |
Swedish Polar Research Secretariat: Swedish Polar Bibliography (DiVA) |
op_collection_id |
ftsprs |
language |
English |
topic |
InSAR Peatland Permafrost Physical Geography Naturgeografi Climate Research Klimatforskning |
spellingShingle |
InSAR Peatland Permafrost Physical Geography Naturgeografi Climate Research Klimatforskning de la Barreda-Bautista, Betsabe Boyd, Doreen S. Ledger, Martha Siewert, Matthias B. Chandler, Chris Bradley, Andrew V. Gee, David Large, David J. Olofsson, Johan Sowter, Andrew Sjögersten, Sofie Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands |
topic_facet |
InSAR Peatland Permafrost Physical Geography Naturgeografi Climate Research Klimatforskning |
description |
Permafrost thaw resulting from climate warming is threatening to release carbon from high latitude peatlands. The aim of this research was to determine subsidence rates linked to permafrost thaw in sub-Arctic peatlands in Sweden using historical orthophotographic (orthophotos), Unoccupied Aerial Vehicle (UAV), and Interferometric Synthetic Aperture Radar (InSAR) data. The orthophotos showed that the permafrost palsa on the study sites have been contracting in their areal extent, with the greatest rates of loss between 2002 and 2008. The surface motion estimated from differential digital elevation models from the UAV data showed high levels of subsidence (maxi-mum of −25 cm between 2017 and 2020) around the edges of the raised palsa plateaus. The InSAR data analysis showed that raised palsa areas had the greatest subsidence rates, with maximum subsidence rates of 1.5 cm between 2017 and 2020; however, all wetland vegetation types showed sub-sidence. We suggest that the difference in spatial units associated with each sensor explains parts of the variation in the subsidence levels recorded. We conclude that InSAR was able to identify the areas most at risk of subsidence and that it can be used to investigate subsidence over large spatial extents, whereas UAV data can be used to better understand the dynamics of permafrost degradation at a local level. These findings underpin a monitoring approach for these peatlands. This article belongs to the Special Issue Application of Remote Sensing for Monitoring of Peatlands. |
format |
Article in Journal/Newspaper |
author |
de la Barreda-Bautista, Betsabe Boyd, Doreen S. Ledger, Martha Siewert, Matthias B. Chandler, Chris Bradley, Andrew V. Gee, David Large, David J. Olofsson, Johan Sowter, Andrew Sjögersten, Sofie |
author_facet |
de la Barreda-Bautista, Betsabe Boyd, Doreen S. Ledger, Martha Siewert, Matthias B. Chandler, Chris Bradley, Andrew V. Gee, David Large, David J. Olofsson, Johan Sowter, Andrew Sjögersten, Sofie |
author_sort |
de la Barreda-Bautista, Betsabe |
title |
Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands |
title_short |
Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands |
title_full |
Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands |
title_fullStr |
Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands |
title_full_unstemmed |
Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands |
title_sort |
towards a monitoring approach for understanding permafrost degradation and linked subsidence in arctic peatlands |
publisher |
School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, United Kingdom; School of Geography, University of Nottingham, University Park, Nottingham, United Kingdom |
publishDate |
2022 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-8923 https://doi.org/10.3390/rs14030444 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic palsa permafrost |
genre_facet |
Arctic palsa permafrost |
op_relation |
Remote Sensing, 2022, 14:3, orcid:0000-0003-2890-8873 orcid:0000-0002-6943-1218 http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-8923 doi:10.3390/rs14030444 Scopus 2-s2.0-85122975191 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs14030444 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
3 |
container_start_page |
444 |
_version_ |
1778135421548494848 |