No description available.

This study makes important scientific contributions by improving remote sensing methods for collecting bathymetric data. It demonstrates an improved and novel approach to utilizing Sentinel-2 reflectance data to extract satellite-derived bathymetry (SDB), validated against data from airborne LiDAR bathymetry (ALB). The study looks at how well SDB works in several coastal areas of the United States. It uses the Normalized Difference Turbidity Index (NDTI) and Total Suspended Solids (TSS) to see how water quality affects the accuracy of SDB. The study also analyzes how unoccupied aerial systems (UAS) can be combined with echo sounder systems to derive bathymetric maps with a high level of accuracy. Overall, the study's advancements in methodology and technology provide a foundation for future research and applications in coastal management and environmental monitoring, significantly impacting the understanding and management of inland to coastal water bodies.