SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data

Zhou, Shuai; Guo, Jinyun; Zhang, Huiying; Jia, Yongjun; Sun, Heping; Liu, Xin; An, Dechao

doi:https://doi.org/10.5194/essd-17-165-2025

Articles | Volume 17, issue 1

https://doi.org/10.5194/essd-17-165-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-165-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 1

Review article

|

20 Jan 2025

Review article |

| 20 Jan 2025

SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data

Shuai Zhou, Jinyun Guo, Huiying Zhang, Yongjun Jia, Heping Sun, Xin Liu, and Dechao An

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Cited articles

An, D., Guo, J., Li, Z., Ji, B., Liu, X., and Chang, X.: Improved gravity-geologic method reliably removing the long-wavelength gravity effect of regional seafloor topography: A case of bathymetric prediction in the South China Sea, IEEE T. Geosci. Remote, 60, 4211912, https://doi.org/10.1109/TGRS.2022.3223047, 2022.

An, D., Guo, J., Chang, X., Wang, Z., Jia, Y., Liu, X., Bondur, V., and Sun, H.: High-precision 1′ × 1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies, Geosci. Model Dev., 17, 2039–2052, https://doi.org/10.5194/gmd-17-2039-2024, 2024.

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