Shallow water depth (≤5 m) estimation based on single-beam echo sounder and optical satellites

This study combined single-beam echo sounder data with PlanetScope multispectral data to invert shallow water depth (≤5 m) around Weizhou Island, analyzing how each band's reflectance varies with depth by establishing their quantitative relationship and building nine statistical regression and machine learning models. In the inversion of water depths less than 5 m, the correlation R2 between the blue and green bands and water depth was less than 0.1, while the R2 between the red-edge band and water depth was 0.73. In addition, after classification of the sediment type, water depth inversion improved the correlation between the water depth and reflectance. The random forest (RF) and support vector regression (SVR) models demonstrated the highest accuracy in terms of water depth inversion, with R2 = 0.87, RMSE = 0.28 m and MAE = 0.18 m.

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Publication Details

Journal
Geocarto International
Published
2025-12-05
DOI
https://doi.org/10.1080/10106049.2025.2592891
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
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article

Shallow water depth (≤5 m) estimation based on single-beam echo sounder and optical satellites

Geocarto International
Remote Sensing and LiDAR Applications
article

Shallow water depth (≤5 m) estimation based on single-beam echo sounder and optical satellites

article en

Abstract

This study combined single-beam echo sounder data with PlanetScope multispectral data to invert shallow water depth (≤5 m) around Weizhou Island, analyzing how each band's reflectance varies with depth by establishing their quantitative relationship and building nine statistical regression and machine learning models. In the inversion of water depths less than 5 m, the correlation R2 between the blue and green bands and water depth was less than 0.1, while the R2 between the red-edge band and water depth was 0.73. In addition, after classification of the sediment type, water depth inversion improved the correlation between the water depth and reflectance. The random forest (RF) and support vector regression (SVR) models demonstrated the highest accuracy in terms of water depth inversion, with R2 = 0.87, RMSE = 0.28 m and MAE = 0.18 m.

Geocarto InternationalVol. 40(1)
NOAA National Marine Fisheries Service (US), Kyushu University (JP), Hokkaido University (JP), Ministry of Natural Resources (CN), Zhejiang Ocean University (CN), Ministry of Agriculture (CA), Zhanjiang Experimental Station (CN), Ministry of Agriculture and Rural Affairs (CN), Ministry of Water Resources of the People's Republic of China (CN), Shanghai Ocean University (CN), Chinese Academy of Fishery Sciences (CN)
Life below water
Openalex Percentile: Top 47%
Remote Sensing and LiDAR Applications
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Shallow water depth (≤5 m) estimation based on single-beam echo sounder and optical satellites · Geocarto International (2025) | TGRS Research Map | TGRS