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Article

Investigating the Impact of Spatiotemporal Variations in Water Surface Optical Properties on Satellite-Derived Bathymetry Estimates in the Eastern Mediterranean

by
Fickrie Muhammad
1,2,*,
Ioannis Tsimpouxis
1,3 and
Harald Sternberg
1
1
Department of Hydrography and Geodesy, HafenCity University Hamburg, 20457 Hamburg, Germany
2
Hydrography Research Group, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Bandung 40132, Indonesia
3
Hellenic Navy, 15561 Athens, Greece
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(3), 444; https://doi.org/10.3390/rs17030444
Submission received: 18 October 2024 / Revised: 23 January 2025 / Accepted: 24 January 2025 / Published: 28 January 2025
(This article belongs to the Section Ocean Remote Sensing)

Abstract

Bathymetric data are crucial for benthic monitoring in coastal areas but are traditionally obtained through costly and geographically limited acoustic methods. This study uses satellite-derived bathymetry (SDB) in the Eastern Mediterranean, focusing on the Cretan Sea in Greece. It explores how variations in water surface optical properties affect SDB models over four years (2019–2022), using Sentinel-2 satellite data. The research covers two areas with contrasting features: the Chania Gulf and the open waters around Chrissi Island. Three methodologies were tested: the band-ratio method, the linear-logarithmic method, and an inherent optical properties linear model. Significant spatiotemporal variations in the SDB models were found, due to seasonal changes in water surface properties, such as temperature and suspended organic materials. Linear optical properties-based methods performed best, achieving a mean RMSE close to 1 m, slightly outperforming the ratio-based method. The logarithmic method was less effective, with RMSE values ranging from 1.3 to 1.5 m. A preliminary Kalman filter (KF) analysis increased RMSE to the decimeter level. This study demonstrates the impact of water surface optical properties on SDB models. It highlights the value of SDB for cost-effective, high-resolution coastal mapping in complex coastlines like those in Greece.
Keywords: satellite-derived bathymetry (SDB); water optical properties; Mediterranean waters; empirical method; Kalman filter (KF) satellite-derived bathymetry (SDB); water optical properties; Mediterranean waters; empirical method; Kalman filter (KF)

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MDPI and ACS Style

Muhammad, F.; Tsimpouxis, I.; Sternberg, H. Investigating the Impact of Spatiotemporal Variations in Water Surface Optical Properties on Satellite-Derived Bathymetry Estimates in the Eastern Mediterranean. Remote Sens. 2025, 17, 444. https://doi.org/10.3390/rs17030444

AMA Style

Muhammad F, Tsimpouxis I, Sternberg H. Investigating the Impact of Spatiotemporal Variations in Water Surface Optical Properties on Satellite-Derived Bathymetry Estimates in the Eastern Mediterranean. Remote Sensing. 2025; 17(3):444. https://doi.org/10.3390/rs17030444

Chicago/Turabian Style

Muhammad, Fickrie, Ioannis Tsimpouxis, and Harald Sternberg. 2025. "Investigating the Impact of Spatiotemporal Variations in Water Surface Optical Properties on Satellite-Derived Bathymetry Estimates in the Eastern Mediterranean" Remote Sensing 17, no. 3: 444. https://doi.org/10.3390/rs17030444

APA Style

Muhammad, F., Tsimpouxis, I., & Sternberg, H. (2025). Investigating the Impact of Spatiotemporal Variations in Water Surface Optical Properties on Satellite-Derived Bathymetry Estimates in the Eastern Mediterranean. Remote Sensing, 17(3), 444. https://doi.org/10.3390/rs17030444

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