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- Title
Coastal Sediment Grain Size Estimates on Gravel Beaches Using Satellite Synthetic Aperture Radar (SAR).
- Authors
Mann, Sophie; Novellino, Alessandro; Hussain, Ekbal; Grebby, Stephen; Bateson, Luke; Capsey, Austin; Marsh, Stuart
- Abstract
Coastal sediment grain size is an important factor in determining coastal morphodynamics. In this study, we explore a novel approach for retrieving the median sediment grain size (D50) of gravel-dominated beaches using Synthetic Aperture Radar (SAR) spaceborne imagery. We assessed this by using thirty-six Sentinel-1 (C-band SAR) satellite images acquired in May and June 2022 and 2023, and three NovaSAR (S-band SAR) satellite images acquired in May and June 2022, for three different training sites and one test site across England (the UK). The results from the Sentinel-1 C-band data show strong positive correlations (R2 ≥ 0.75 ) between the D50 and the backscatter coefficients for 15/18 of the resultant models. The models were subsequently used to derive predictions of D50 for the test site, with the models which exhibited the strongest correlations resulting in Mean Absolute Errors (MAEs) in the range 2.26–5.47 mm. No correlation (R2 = 0.04) was found between the backscatter coefficients from the S-band NovaSAR data and D50. These results highlight the potential to derive near-real time estimates of coastal sediment grain size for gravel beaches to better inform coastal erosion and monitoring programs.
- Subjects
ENGLAND; UNITED Kingdom; SYNTHETIC aperture radar; GRAIN size; COASTAL sediments; COASTAL changes; GRAVEL; BEACHES; REMOTE-sensing images
- Publication
Remote Sensing, 2024, Vol 16, Issue 10, p1763
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs16101763