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

7 citations as recorded by crossref.

1. Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data G. Casal et al. 10.1080/01431161.2018.1533660
2. 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
3. Optimized water depth retrieval using satellite imageries based on novel algorithms K. Rangzan et al. 10.1007/s12145-021-00698-z
4. 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
5. Automated High-Resolution Bathymetry from Sentinel-1 SAR Images in Deeper Nearshore Coastal Waters in Eastern Florida S. Mudiyanselage et al. 10.3390/rs16010001
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. Extracting Coastal Water Depths from Multi-Temporal Sentinel-2 Images Using Convolutional Neural Networks Y. Lumban-Gaol et al. 10.1080/01490419.2022.2091696