Jarrett et al. (2025) Application of SAR to Delineate Peatland from Other Land Cover and Assess Relative Condition in Relation to Surface Moisture

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-08-08
• Authors: Sean Jarrett, Daniel Hölbling
• DOI: 10.3390/rs17162752

Research Groups

Not specified in the provided text.

Short Summary

This study demonstrates that Sentinel-1 SAR backscatter intensity can be used to delineate peatland from other land covers and assess its condition, particularly when utilizing imagery captured during frozen conditions.

Objective

• To evaluate the effectiveness of Sentinel-1 SAR imagery in mapping peatland extent, identifying wildfire damage, and assessing relative peatland condition through backscatter analysis.

Study Configuration

• Spatial Scale: Local scale (Winter Hill, near Bolton, Lancashire, UK).
• Temporal Scale: Post-2018 wildfire period, with a focus on winter/frozen conditions.

Methodology and Data

• Models used: Inter-quartile range (IQR) for backscatter thresholding; correlation analysis between backscatter and temperature; sub-catchment hydrological zoning.
• Data sources: Sentinel-1 Synthetic Aperture Radar (SAR) imagery, field visit photographic records, and terrain data.

Main Results

• Sentinel-1 imagery captured in winter accurately reflected the extent of the 2018 wildfire damage.
• In frozen conditions, significant statistical differences in backscatter intensity exist between peatland and visually similar land covers, such as livestock grazing fields.
• A correlation between backscatter and temperature was detected for peatland surfaces, although this relationship is influenced by terrain steepness.
• No significant correlation between backscatter and temperature was found in areas with high surface water retention.
• Aggregating backscatter data by sub-catchment zones enhances the ability to delineate peatland condition.

Contributions

The research establishes that combining Sentinel-1 SAR data during frozen conditions with terrain and hydrological zoning allows for the effective monitoring of peatlands, the assessment of climate-change impacts (e.g., wildfires), and the mapping of land cover in cloud-prone regions.

Funding

Not specified in the provided text.

Citation

@article{Jarrett2025Application,
  author = {Jarrett, Sean and Hölbling, Daniel},
  title = {Application of SAR to Delineate Peatland from Other Land Cover and Assess Relative Condition in Relation to Surface Moisture},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs17162752},
  url = {https://doi.org/10.3390/rs17162752}
}