Emily Mitchell
Object oriented data analysis of surface motion time series in peatland landscapes
Mitchell, Emily; Ian, Dryden; Christopher, Fallaize; Roxanne, Andersen; Bradley, Andrew; David, Large; Andrew, Sowter
Authors
IAN DRYDEN IAN.DRYDEN@NOTTINGHAM.AC.UK
Professor of Statistics
CHRISTOPHER FALLAIZE Chris.Fallaize@nottingham.ac.uk
Lecturer
Andersen Roxanne
Dr ANDREW BRADLEY Andrew.Bradley1@nottingham.ac.uk
Research Fellow
DAVID LARGE David.Large@nottingham.ac.uk
Abbott Professor of Geoscience
Sowter Andrew
Abstract
Peatlands account for 10% of UK land area, 80% of which are degraded to some degree, emitting carbon at a similar magnitude to oil refineries or landfill sites. A lack of tools for rapid and reliable assessment of peatland condition has limited monitoring of vast areas of peatland and prevented targeting areas urgently needing action to halt further degradation. Measured using interferometric synthetic aperture radar (InSAR), peatland surface motion is highly indicative of peatland condition, largely driven by the eco-hydrological change in the peatland causing swelling and shrinking of the peat substrate. The computational intensity of recent methods using InSAR time series to capture the annual functional structure of peatland surface motion becomes increasingly challenging as the sample size increases. Instead, we utilize the behaviour of the entire peatland surface motion time series using object oriented data analysis to assess peatland condition. Bayesian cluster analysis based on the functional structure of the surface motion time series finds areas indicative of soft/wet peatlands, drier/shrubby peatlands and thin/modified peatlands. The posterior distribution of the assigned peatland types enables the scale of peatland degradation to be assessed, which will guide future cost-effective decisions for peatland restoration
Citation
Mitchell, E., Ian, D., Christopher, F., Roxanne, A., Bradley, A., David, L., & Andrew, S. (in press). Object oriented data analysis of surface motion time series in peatland landscapes. Journal of the Royal Statistical Society: Series C,
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 28, 2024 |
Deposit Date | Oct 2, 2024 |
Journal | Journal of the Royal Statistical Society: Series C |
Print ISSN | 0035-9254 |
Electronic ISSN | 1467-9876 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Keywords | InSAR, peatland condition mapping, satellite, spatial, square root velocity function, time series, warping |
Public URL | https://nottingham-repository.worktribe.com/output/40283675 |
Publisher URL | https://academic.oup.com/jrsssc |
This file is under embargo due to copyright reasons.
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