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Article

InSAR Coherence Linked to Soil Moisture, Water Level and Precipitation on a Blanket Peatland in Scotland

1
Nottingham Geospatial Institute, University of Nottingham, 30 Triumph Road, Nottingham NG7 2TU, UK
2
School of Geography, University of Nottingham, Nottingham NG7 2RD, UK
3
Environmental Research Institute, University of the Highlands and Islands, Castle Street, Thurso KW14 7JD, UK
4
Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(21), 3507; https://doi.org/10.3390/rs17213507
Submission received: 22 July 2025 / Revised: 10 October 2025 / Accepted: 15 October 2025 / Published: 22 October 2025
(This article belongs to the Special Issue Remote Sensing for the Study of the Changes in Wetlands)

Abstract

Hydrological changes in peatland are directly related to peat condition. Restoration projects typically aim to raise the water table to enhance peat development, support ecology and increase carbon storage. Remote monitoring of peatland hydrology is challenging but advantageous for assessing condition and restoration effectiveness. This study explores how temporal Sentinel-1-derived InSAR coherence relates to ground-based measurements of soil moisture, water level and local precipitation at two sites, near-natural (Munsary) and degraded (Knockfin Heights), in the Flow Country, Scotland, alongside regional Wick weather station precipitation data (2015–2024). Stronger seasonal linear relationships were observed between soil moisture and InSAR coherence in spring/summer (R2 reaching 0.83 at Munsary subsite C, p < 0.001), with in-phase cross correlation throughout the year. In contrast, the relationship between water level and InSAR coherence was more complex with an out-of-phase relationship for much of the year and a weaker linear correlation. These relationships varied with peatland condition, strongest at the more intact bog (Munsary). InSAR coherence and precipitation were in-phase, but not linearly correlated, and land use/cover had no significant effect. Outcomes suggest that InSAR coherence could, when combined with other data, assist in mapping soil moisture/water level dynamics in blanket peatlands, and identify the timing of precipitation events in areas with non-frontal rainfall.
Keywords: InSAR coherence; Sentinel-1; water level; soil moisture InSAR coherence; Sentinel-1; water level; soil moisture

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MDPI and ACS Style

Walker, R.Z.; Boyd, D.S.; Andersen, R.; Large, D.J. InSAR Coherence Linked to Soil Moisture, Water Level and Precipitation on a Blanket Peatland in Scotland. Remote Sens. 2025, 17, 3507. https://doi.org/10.3390/rs17213507

AMA Style

Walker RZ, Boyd DS, Andersen R, Large DJ. InSAR Coherence Linked to Soil Moisture, Water Level and Precipitation on a Blanket Peatland in Scotland. Remote Sensing. 2025; 17(21):3507. https://doi.org/10.3390/rs17213507

Chicago/Turabian Style

Walker, Rachel Z., Doreen S. Boyd, Roxane Andersen, and David J. Large. 2025. "InSAR Coherence Linked to Soil Moisture, Water Level and Precipitation on a Blanket Peatland in Scotland" Remote Sensing 17, no. 21: 3507. https://doi.org/10.3390/rs17213507

APA Style

Walker, R. Z., Boyd, D. S., Andersen, R., & Large, D. J. (2025). InSAR Coherence Linked to Soil Moisture, Water Level and Precipitation on a Blanket Peatland in Scotland. Remote Sensing, 17(21), 3507. https://doi.org/10.3390/rs17213507

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