34 citations as recorded by crossref.

1. Assessing the effect of various training and testing set ratios to model the satellite derived bathymetry R. Dewi et al. https://doi.org/10.1088/1755-1315/500/1/012032
2. Confronting turbidity, the major challenge for satellite-derived coastal bathymetry I. Caballero & R. Stumpf https://doi.org/10.1016/j.scitotenv.2023.161898
3. On improved nearshore bathymetry estimates from satellites using ensemble and machine learning approaches V. Surisetty et al. https://doi.org/10.1016/j.asr.2021.06.034
4. Preface: Earth surveillance and space-based monitoring of the environment: integrated approaches S. Michaelides & C. Kontoes https://doi.org/10.5194/adgeo-47-17-2019
5. Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC A. Collins et al. https://doi.org/10.3390/rs13234907
6. Remote sensing-based bathymetry mapping in shallow lakes: comparative analysis of Sentinel-2 and Landsat-8 imagery integrated with machine learning techniques N. Karimi & O. Torabi https://doi.org/10.1016/j.asr.2025.10.028
7. Assessment of Empirical Algorithms for Shallow Water Bathymetry Using Multi-Spectral Imagery of Pearl River Delta Coast, China C. Wei et al. https://doi.org/10.3390/rs13163123
8. Estimating distributed autumn irrigation water use in a large irrigation district by combining machine learning with water balance models X. Qian et al. https://doi.org/10.1016/j.compag.2024.109110
9. Comparative analysis of three key atmospheric correction techniques for bathymetric mapping in nearshore areas with Sentinel-2 Data - case study: Kish Island, Persian Gulf K. Kabiri https://doi.org/10.1590/2675-2824073.24077
10. Bathymetry modelling of the eastern Tendrivska Bay (Ukraine) using Sentinel-2 remote sensing data Y. Moskalenko https://doi.org/10.53452/gb2612
11. Shallow Water Depth Estimation of Inland Wetlands Using Landsat 8 Satellite Images C. Owusu et al. https://doi.org/10.3390/rs16162986
12. Satellite-derived bathymetry in optically complex waters using a model inversion approach and Sentinel-2 data G. Casal et al. https://doi.org/10.1016/j.ecss.2020.106814
13. Shallow water bathymetry based entirely on satellite data: a case study in the South China sea Z. Yang et al. https://doi.org/10.1007/s11001-025-09601-7
14. Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys, and historical datasets U. Lebrec et al. https://doi.org/10.5194/essd-13-5191-2021
15. Satellite-Derived Topography and Morphological Evolution around Authie Macrotidal Estuary (France) P. Bagot et al. https://doi.org/10.3390/jmse9121354
16. Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis T. Duplančić Leder et al. https://doi.org/10.3390/rs15051294
17. Pan-European Satellite-Derived Coastal Bathymetry—Review, User Needs and Future Services G. Cesbron et al. https://doi.org/10.3389/fmars.2021.740830
18. Development of a detailed bathymetry map of the Nhat Le estuary, Quang Binh province by remote sensing image treatment L. Huong et al. https://doi.org/10.15625/0866-7136/20660
19. Hypertemporal Sentinel-2 images reveal deep seafloor features and significantly improve satellite-derived bathymetry P. Mouquet https://doi.org/10.1016/j.srs.2026.100483
20. Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review E. Salameh et al. https://doi.org/10.3390/rs11192212
21. Atmospheric correction for satellite-derived bathymetry in the Caribbean waters: from a single image to multi-temporal approaches using Sentinel-2A/B I. Caballero & R. Stumpf https://doi.org/10.1364/OE.390316
22. Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches M. Najar et al. https://doi.org/10.3390/rs14051196
23. Potential of space science technology for water infrastructure management L. Mokgobu & R. Mason https://doi.org/10.20525/ijrbs.v11i2.1676
24. Observation of the Coastal Areas, Estuaries and Deltas from Space B. Laignel et al. https://doi.org/10.1007/s10712-022-09757-6
25. Satellite bathymetry estimation in the optically complex northern Baltic Sea N. Kulha et al. https://doi.org/10.1016/j.ecss.2024.108634
26. A Holistic High-Resolution Remote Sensing Approach for Mapping Coastal Geomorphology and Marine Habitats E. Evagorou et al. https://doi.org/10.3390/rs17081437
27. Earth Observations for Monitoring Marine Coastal Hazards and Their Drivers A. Melet et al. https://doi.org/10.1007/s10712-020-09594-5
28. Analysis for 3-D morphology structural changes for underwater topographical in Culebrita Island G. Zhou & Z. Yang https://doi.org/10.1080/01431161.2023.2201386
29. Estimation of Coastal Bathymetry Using Wavelets D. Santos et al. https://doi.org/10.3390/jmse8100772
30. Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images A. Yunus et al. https://doi.org/10.3390/s19122788
31. Determination of Water Depth in Ports Using Satellite Data Based on Machine Learning Algorithms V. Mateo-Pérez et al. https://doi.org/10.3390/en14092486
32. Assessment of Atmospheric Correction Processors and Spectral Bands for Satellite-Derived Bathymetry Using Sentinel-2 Data in the Middle Adriatic L. Vrdoljak & J. Kilić Pamuković https://doi.org/10.3390/hydrology9120215
33. Sensor Synergy in Bathymetric Mapping: Integrating Optical, LiDAR, and Echosounder Data Using Machine Learning E. Gülher & U. Alganci https://doi.org/10.3390/rs17162912
34. Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission I. Caballero & R. Stumpf https://doi.org/10.3390/rs12030451