DISCOVERING OPTIMUM METHOD TO EXTRACT DEPTH INFORMATION FOR NEARSHORE COASTAL WATERS FROM SENTINEL-2A IMAGERY- CASE STUDY: NAYBAND BAY, IRAN

12 citations as recorded by crossref.

1. New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy D. Karimi et al. 10.1007/s13762-024-06028-2
2. Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data G. Casal et al. 10.1080/01431161.2018.1533660
3. Preliminary Assessment of Turbidity and Chlorophyll Impact on Bathymetry Derived from Sentinel-2A and Sentinel-3A Satellites in South Florida I. Caballero et al. 10.3390/rs11060645
4. Satellite-based Bathymetry Supported by Extracted Coastlines H. Uzakara et al. 10.1007/s41064-024-00298-8
5. 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 10.1590/2675-2824073.24077
6. 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. 10.5194/essd-13-5191-2021
7. Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus E. Evagorou et al. 10.5194/adgeo-45-397-2019
8. Optimized water depth retrieval using satellite imageries based on novel algorithms K. Rangzan et al. 10.1007/s12145-021-00698-z
9. Mapping of Pollution Dimensions of Areas Affected by Asalouyeh Petrochemical Wastewater Based on GNOME Model S. Rahmani et al. 10.52547/joc.11.41.139
10. Automated High-Resolution Bathymetry from Sentinel-1 SAR Images in Deeper Nearshore Coastal Waters in Eastern Florida S. Mudiyanselage et al. 10.3390/rs16010001
11. Depth estimation from multispectral satellite imagery: a comparison of conventional and machine learning-based approaches- case study: Kish Island, Persian Gulf K. Kabiri & M. Kazeminezhad 10.1007/s12145-024-01542-w
12. Extracting Coastal Water Depths from Multi-Temporal Sentinel-2 Images Using Convolutional Neural Networks Y. Lumban-Gaol et al. 10.1080/01490419.2022.2091696