SHALLOW WATER BATHYMETRY MAPPING FROM UAV IMAGERY BASED ON MACHINE LEARNING

52 citations as recorded by crossref.

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19. Analysis of Methods for Determining Shallow Waterbody Depths Based on Images Taken by Unmanned Aerial Vehicles M. Specht et al. https://doi.org/10.3390/s22051844
20. Suitability of UAV-Based RGB and Multispectral Photogrammetry for Riverbed Topography in Hydrodynamic Modelling V. Akstinas et al. https://doi.org/10.3390/w18010038
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25. Highlighting the Use of UAV to Increase the Resilience of Native Hawaiian Coastal Cultural Heritage K. Steward et al. https://doi.org/10.3390/rs16122239
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43. Determination of the Minimum Safe Distance between a USV and a Hydro-Engineering Structure in a Restricted Water Region Sounding A. Makar https://doi.org/10.3390/en15072441
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48. Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping P. Trybała et al. https://doi.org/10.3390/drones8100577
49. A Method for Developing a Digital Terrain Model of the Coastal Zone Based on Topobathymetric Data from Remote Sensors M. Specht & M. Wiśniewska https://doi.org/10.3390/rs16244626
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51. Assessment of the Steering Precision of a UAV along the Flight Profiles Using a GNSS RTK Receiver O. Lewicka et al. https://doi.org/10.3390/rs14236127
52. A Review of Image- and LiDAR-Based Mapping of Shallow Water Scenarios P. Kujawa & F. Remondino https://doi.org/10.3390/rs17122086