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

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.

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Publication Details

Journal
Remote Sensing
Published
2025-10-22
DOI
https://doi.org/10.3390/rs17213507
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

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

Roxane Andersen, R.M. Walker, Doreen S. Boyd, David J. Large
Remote Sensing
Soil Moisture and Remote Sensing
article

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

Roxane Andersen, R.M. Walker, Doreen S. Boyd, David J. Large
article en

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.

Remote SensingVol. 17(21)
University of Nottingham (GB), Environmental Research Institute (GB), University of the Highlands and Islands (GB)
Openalex Percentile: Top 72%
Soil Moisture and Remote Sensing
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InSAR Coherence Linked to Soil Moisture, Water Level and Precipitation on a Blanket Peatland in Scotland — Roxane Andersen, R.M. Walker, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS