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Marine Geodesy Volume 45, 2022 - Issue 6
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Research Articles

Extracting Coastal Water Depths from Multi-Temporal Sentinel-2 Images Using Convolutional Neural Networks

Yustisi Lumban-Gaola Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, Netherlands;b Research Organization for Earth and Maritime, National Research and Innovation Agency, Cibinong, IndonesiaCorrespondence[email protected]
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,
Ken Arroyo Ohoria Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, NetherlandsView further author information
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Ravi Petersa Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, NetherlandsView further author information
Pages 615-644 | Received 17 Nov 2021, Accepted 14 Jun 2022, Published online: 05 Jul 2022

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Read on this site (1)

Xiaohan Zhang, Wei Han, Jun Li & Lizhe Wang. (2023) Nearshore bathymetry estimation through dual-time phase satellite imagery in the absence of in-situ data. GIScience & Remote Sensing 60:1.
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Articles from other publishers (4)

Munawaroh Munawaroh, Pramaditya Wicaksono, Nur Mohammad Farda, Yustisi Lumban-Gaol, Nurul Khakhim & Muhammad Kamal. (2024) Performance Test of Clean-Coastal-Water Composite Sentinel 2A Image for Shallow Water Bathymetry Mapping. Remote Sensing Applications: Society and Environment, pages 101212.
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Anders Knudby & Galen Richardson. (2023) Incorporation of neighborhood information improves performance of SDB models. Remote Sensing Applications: Society and Environment 32, pages 101033.
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Chunlong He, Qigang Jiang, Guofang Tao & Zhenchao Zhang. (2023) A Convolutional Neural Network with Spatial Location Integration for Nearshore Water Depth Inversion. Sensors 23:20, pages 8493.
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Ivana Golub Medvešek, Joško Šoda, Ivan Karin & Mislav Maljković. (2023) The State of the Hydrographic Survey and Assessment of the Potentially Risky Region for Navigation Safety. Journal of Marine Science and Engineering 11:8, pages 1498.
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