23 citations as recorded by crossref.

1. Emerging trends in topobathymetric LiDAR technology and mapping N. Pricope & M. Bashit 10.1080/01431161.2023.2287564
2. Assessing Storm Response of Multiple Intertidal Bars Using an Open-Source Automatic Processing Toolbox A. Montreuil et al. 10.3390/rs14041005
3. Evaluation of Boulder Characteristics for Improved Boulder Detection Based on Machine Learning Techniques S. Hansen et al. 10.3390/geosciences12110421
4. Methodology for Performing Bathymetric and Photogrammetric Measurements Using UAV and USV Vehicles in the Coastal Zone M. Specht 10.3390/rs16173328
5. Mapping Topobathymetry in a Shallow Tidal Environment Using Low-Cost Technology S. Genchi et al. 10.3390/rs12091394
6. Extracting Shallow-Water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-Based and Machine Learning Approaches K. Lowell & B. Calder 10.1080/01490419.2021.1925790
7. Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry K. Lowell & B. Calder 10.3390/rs13091604
8. Characterizing beach intertidal bar systems using multi‐annual LiDAR data A. Miles et al. 10.1002/esp.4594
9. The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study A. Rumson et al. 10.1016/j.ocecoaman.2019.104875
10. The importance of the number of points, transect location and interpolation techniques in the analysis of bathymetric measurements D. Diaconu et al. 10.1016/j.jhydrol.2018.12.070
11. Classifying airborne bathymetry data using the Random Forest algorithm T. Kogut & M. Weistock 10.1080/2150704X.2019.1629710
12. The Use of Green Laser in LiDAR Bathymetry: State of the Art and Recent Advancements A. Szafarczyk & C. Toś 10.3390/s23010292
13. ACCURACY VERIFICATION OF AIRBORNE GREEN LASER BATHYMETRY IN THE SURF ZONE S. NAKAMURA 10.2208/kaigan.74.I_1447
14. Methodology for Creating a Digital Bathymetric Model Using Neural Networks for Combined Hydroacoustic and Photogrammetric Data in Shallow Water Areas M. Łącka & J. Łubczonek 10.3390/s24010175
15. Classification of Boulders in Coastal Environments Using Random Forest Machine Learning on Topo-Bathymetric LiDAR Data S. Hansen et al. 10.3390/rs13204101
16. Automatic classification and mapping of the seabed using airborne LiDAR bathymetry L. Janowski et al. 10.1016/j.enggeo.2022.106615
17. Tidal Creek Extraction from Airborne LiDAR Data Using Ground Filtering Techniques H. Kim et al. 10.1007/s12205-020-2336-8
18. A method for estimating sediment budgets of washover deposits using digital terrain models L. Hansen et al. 10.1002/esp.5066
19. Ecohydraulic Modelling to Support Fish Habitat Restoration Measures A. Adeva-Bustos et al. 10.3390/su11051500
20. A Semi-Automatic-Based Approach to the Extraction of Underwater Archaeological Features from Ultra-High-Resolution Bathymetric Data: The Case of the Submerged Baia Archaeological Park N. Abate et al. 10.3390/rs16111908
21. Analyzing inundation extent in small reservoirs: A combined use of topography, bathymetry and a 3D dam model W. Chen et al. 10.1016/j.measurement.2018.01.042
22. A multi-scale geomorphometric approach to semi-automated classification of seabed morphology of a dynamic and complex marine meander bend L. Hansen et al. 10.1016/j.geomorph.2022.108371
23. Unmanned Aerial System (UAS) observations of water surface elevation in a small stream: Comparison of radar altimetry, LIDAR and photogrammetry techniques F. Bandini et al. 10.1016/j.rse.2019.111487