A Spatial-Domain Crest-Line Tracking Method for Swell-Based Shallow-Water Bathymetry Retrieval from Sentinel-1 SAR Imagery

Shallow-water bathymetry is essential for coastal dynamics, navigation, engineering, and marine-resource management, especially where in situ observations are sparse. This study proposes a wave-stripe-based method for shallow-water bathymetric retrieval from Sentinel-1A VV-polarized SAR imagery. After texture-preserving denoising, multidirectional Gabor enhancement, K-means segmentation, and skeleton tracking, wave-crest centerlines are extracted and local wavelengths are measured as the normal spacing between adjacent crest lines. The dominant wave period is estimated from deep-water wavelengths, and water depth is retrieved using the linear wave dispersion relation. The method was evaluated using five Sentinel-1 acquisitions, with SAR-derived representative wave periods ranging from 12.45 to 14.96 s. Based on the mean retrieval performance across the five acquisitions, the 0–20 m depth range yielded an RMSE of 3.87 m, an MAE of 3.56 m, and r = 0.95, while the corresponding values for 0–50 m were 6.06 m, 5.02 m, and 0.97, respectively. The most stable performance occurred within the 5–20 m depth range. The method reduces fixed-window spectral averaging and improves the representation of local wavelength variability, supporting rapid bathymetric mapping along open-coast environments with clear swell-induced wave stripes, relatively gentle bathymetric slopes, and limited field observations.

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Publication Details

Journal
Remote Sensing
Published
2026-10-15
DOI
https://doi.org/10.3390/rs18203534
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

A Spatial-Domain Crest-Line Tracking Method for Swell-Based Shallow-Water Bathymetry Retrieval from Sentinel-1 SAR Imagery

Shouhua Liu, Zhenzhe Yang, Yongliang Wei, Yajun Yue
Remote Sensing
Coastal and Marine Dynamics
article

A Spatial-Domain Crest-Line Tracking Method for Swell-Based Shallow-Water Bathymetry Retrieval from Sentinel-1 SAR Imagery

Shouhua Liu, Zhenzhe Yang, Yongliang Wei, Yajun Yue
article en

Abstract

Shallow-water bathymetry is essential for coastal dynamics, navigation, engineering, and marine-resource management, especially where in situ observations are sparse. This study proposes a wave-stripe-based method for shallow-water bathymetric retrieval from Sentinel-1A VV-polarized SAR imagery. After texture-preserving denoising, multidirectional Gabor enhancement, K-means segmentation, and skeleton tracking, wave-crest centerlines are extracted and local wavelengths are measured as the normal spacing between adjacent crest lines. The dominant wave period is estimated from deep-water wavelengths, and water depth is retrieved using the linear wave dispersion relation. The method was evaluated using five Sentinel-1 acquisitions, with SAR-derived representative wave periods ranging from 12.45 to 14.96 s. Based on the mean retrieval performance across the five acquisitions, the 0–20 m depth range yielded an RMSE of 3.87 m, an MAE of 3.56 m, and r = 0.95, while the corresponding values for 0–50 m were 6.06 m, 5.02 m, and 0.97, respectively. The most stable performance occurred within the 5–20 m depth range. The method reduces fixed-window spectral averaging and improves the representation of local wavelength variability, supporting rapid bathymetric mapping along open-coast environments with clear swell-induced wave stripes, relatively gentle bathymetric slopes, and limited field observations.

Remote SensingVol. 18(20)
Ministry of Natural Resources (CN), National Marine Data and Information Service, Shanghai Ocean University (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 16%
Coastal and Marine Dynamics
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