Optical and radar Earth observation data for upscaling  methane emissions linked to permafrost degradation in  sub-Arctic peatlands in northern Sweden

Sjögersten, Sofie; Ledger, Martha; Siewert, Matthias; de la Barreda-Bautista, Betsabé; Sowter, Andrew; Gee, David; Foody, Giles; Boyd, Doreen S.

doi:https://doi.org/10.5194/bg-20-4221-2023

Articles | Volume 20, issue 20

https://doi.org/10.5194/bg-20-4221-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-20-4221-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 20

Research article

|

16 Oct 2023

Research article |

| 16 Oct 2023

Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden

Sofie Sjögersten, Martha Ledger, Matthias Siewert, Betsabé de la Barreda-Bautista, Andrew Sowter, David Gee, Giles Foody, and Doreen S. Boyd

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https://doi.org/10.5194/bg-20-4221-2023-supplement

Model code and software

Generating vegetation and methane maps for sub-Arctic peatlands with degrading permafrost M. Ledger, S. Sjögersten, M. Siewert, B. de la Barreda-Bautista, A. Sowter, D. Gee, G. Foody, and D. Boyd https://doi.org/10.6084/m9.figshare.24248545

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Short summary

Permafrost thaw in Arctic regions is increasing methane emissions, but quantification is difficult given the large and remote areas impacted. We show that UAV data together with satellite data can be used to extrapolate emissions across the wider landscape as well as detect areas at risk of higher emissions. A transition of currently degrading areas to fen type vegetation can increase emission by several orders of magnitude, highlighting the importance of quantifying areas at risk.