A MACHINE LEARNING APPROACH TO MULTISPECTRAL SATELLITE DERIVED BATHYMETRY

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1. Potential of Using Machine Learning Regression Techniques to Utilize Sentinel Images for Bathymetry Mapping of Nile River N. Kamal & N. El-Ashmawy 10.1016/j.ejrs.2023.06.004
2. Predicting beach profiles with machine learning from offshore wave reflection spectra E. Disdier et al. 10.1016/j.envsoft.2024.106221
3. Ocean Remote Sensing Techniques and Applications: A Review (Part II) M. Amani et al. 10.3390/w14213401
4. Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep Learning Approach J. Zhong et al. 10.3390/rs14174229
5. Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms O. Lewicka et al. 10.3390/rs14164075
6. Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence V. Saeidi et al. 10.1080/19475705.2023.2225691
7. Performance test of clean-coastal-water composite sentinel 2A image for shallow water bathymetry mapping M. Munawaroh et al. 10.1016/j.rsase.2024.101212
8. Satellite-derived bathymetry using Sentinel-2 in mesotidal coasts S. Viaña-Borja et al. 10.1016/j.coastaleng.2024.104644
9. Incorporation of neighborhood information improves performance of SDB models A. Knudby & G. Richardson 10.1016/j.rsase.2023.101033
10. Bathymetry retrieval from CubeSat image sequences with short time lags M. Niroumand-Jadidi et al. 10.1016/j.jag.2022.102958
11. Method for determining of shallow water depths based on data recorded by UAV/USV vehicles and processed using the SVR algorithm M. Specht et al. 10.1016/j.measurement.2023.113437
12. Geomorphometric analysis of nearshore sedimentary bedforms from high-resolution multi-temporal satellite-derived bathymetry E. Alevizos et al. 10.1080/10106049.2021.2007296
13. High-Resolution Satellite Bathymetry Mapping: Regression and Machine Learning-Based Approaches F. Eugenio et al. 10.1109/TGRS.2021.3135462
14. Extracting Coastal Water Depths from Multi-Temporal Sentinel-2 Images Using Convolutional Neural Networks Y. Lumban-Gaol et al. 10.1080/01490419.2022.2091696
15. Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island O. Çelik et al. 10.3390/jmse11112090
16. Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2 M. Merchant 10.1016/j.asr.2023.07.064
17. Smart Sensors System Based on Smartphones and Methodology for 3D Modelling in Shallow Water Scenarios G. Vozza et al. 10.3390/asi6010028
18. Estimation of shallow stream bathymetry under varying suspended sediment concentrations and compositions using hyperspectral imagery Y. Gwon et al. 10.1016/j.geomorph.2023.108722
19. A Sub-Bottom Type Adaption-Based Empirical Approach for Coastal Bathymetry Mapping Using Multispectral Satellite Imagery X. Ji et al. 10.3390/rs15143570
20. Evaluation of Satellite-Derived Bathymetry from High and Medium-Resolution Sensors Using Empirical Methods E. Evagorou et al. 10.3390/rs14030772
21. Analysis of the Spatio-Temporal Evolution of Dredging from Satellite Images: A Case Study in the Principality of Asturias (Spain) V. Mateo-Pérez et al. 10.3390/jmse9030267
22. Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning C. Xie et al. 10.3389/feart.2023.1111817
23. Improved Bathymetry Estimation Using Satellite Altimetry-Derived Gravity Anomalies and Machine Learning in the East Sea K. Kim et al. 10.3390/jmse12091520
24. Shallow Water Depth Estimation of Inland Wetlands Using Landsat 8 Satellite Images C. Owusu et al. 10.3390/rs16162986
25. Satellite-Derived Bathymetry in Support of Maritime Archaeological Research—VENμS Imagery of Caesarea Maritima, Israel, as a Case Study G. Diaz et al. 10.3390/rs16071218
26. Nearshore Bathymetry Based on ICESat-2 and Multispectral Images: Comparison Between Sentinel-2, Landsat-8, and Testing Gaofen-2 X. Zhang et al. 10.1109/JSTARS.2022.3153681
27. SaTSeaD: Satellite Triangulated Sea Depth Open-Source Bathymetry Module for NASA Ames Stereo Pipeline M. Palaseanu-Lovejoy et al. 10.3390/rs15163950