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Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands

Authors :
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
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
Publication Year :
2022

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 (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.<br />This article belongs to the Special Issue Application of Remote Sensing for Monitoring of Peatlands.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1306164424
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.3390.rs14030444