Empirical Bathymetry from Optical Sensors: Method Proposal and Applications on the Brazilian Equatorial Margin
satellite-derived bathymetry; continental shelf; barrier island system
Among the many applications of orbital remote sensing, bathymetric data collection offers a unique advantage by enabling the analysis of the Earth's surface in three-dimensions. This expanded perspective allows for more effective modeling of geomorphological features and facilitates the assessment of their temporal dynamics. In coastal regions - and particularly within shallow marine environments - optical sensors have proven highly effective in the digital seabed modeling, thereby expanding knowledge in areas where conventional data acquisition methods are often logistically challenging, costly and associated with elevated-risk. Within the Brazilian Equatorial Margin (MEB), satellite derived bathymetry remains underutilized, despite the region’s high potential and the increasing demand for detailed seafloor information. This study aimed to develop a methodological framework and implement established techniques of satellite-derived bathymetry (SDB) using optical sensors to map the northern continental shelf of the State of Rio Grande do Norte, located in the semiarid sector of the MEB. The proposed methodology involved quantifying the volume of sediment remobilization in sandy spits through the generation and analysis of beachface profiles derived from Planet Superdove sensor imagery. This approach enabled the effective monitoring of a sandy spit progradation, which resulted in the accumulation approximately 150,000 m³ of sediment (with a mean thickness of 1.76 m) over a 472-day interval. In optically clear waters, empirical bathymetry derived from satellites were applied using Sentinel 2 MSI imagery, incorporating logarithmic band ratio equations and multiple linear regressions techniques. The most robust models exhibited high-representativeness (R²=0.92) for depths up to 15 meters, with vertical accuracy on the order of 1.1 meters. These findings demonstrated the efficacy and reliability of the applied SDB methods, which are consistent with analogous approaches documented in the scientific literature. According, the methodology is recommended for applications in other sectors of the MEB, contributing to the advancement of regional marine geospatial analysis.