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

Abstract

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 (maximum 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 subsidence. 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.

Citation

de la Barreda-Bautista, B., Boyd, D. S., Ledger, M., Siewert, M. B., Chandler, C., Bradley, A. V., …Sjögersten, S. (2022). Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands. Remote Sensing, 14(3), Article 444. https://doi.org/10.3390/rs14030444

• Journal Article Type: Article
• Acceptance Date: Jan 14, 2022
• Online Publication Date: Jan 18, 2022
• Publication Date: Feb 1, 2022
• Deposit Date: Jan 25, 2022
• Publicly Available Date: Jan 26, 2022
• Journal: Remote Sensing
• Electronic ISSN: 2072-4292
• Publisher: MDPI AG
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 3
• Article Number: 444
• DOI: https://doi.org/10.3390/rs14030444
• Keywords: General Earth and Planetary Sciences
• Public URL: https://nottingham-repository.worktribe.com/output/7339834
• Publisher URL: https://www.mdpi.com/2072-4292/14/3/444