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Title

Retrieval of nearshore bathymetry from Sentinel-2A and 2B satellites in South Florida coastal waters

AuthorsCaballero, Isabel ; Stumpf, Richard P.
KeywordsSatellite-derived bathymetry
Lidar
Copernicus programme
Atmospheric correction
Surface correction
Issue Date15-Oct-2019
PublisherElsevier
CitationEstuarine, Coastal and Shelf Science 226: 106277 (2019)
AbstractThis study examines the relatively high-resolution MultiSpectral Instrument (MSI) onboard Sentinel-2A and 2B for generating bathymetric maps through a ratio transform model in South Florida (United States). Atmospheric correction of imagery is implemented though ACOLITE software, providing accurate performance and consistency over different Sentinel-2A/B scenes and three different study sites. Vertical calibration uses 5¿10 points collected from digital charts, independent of lidar surveys, which are used for validation and error analysis. Satellite-Derived Bathymetry (SDB) has Median Absolute Error (MedAE) of 0.5¿m in West Palm Beach (at depths ranging between 0 and 18¿m, limit of lidar survey for validation), 0.4¿m in Key West (0¿5¿m), and 0.22¿m in Dry Tortugas (0¿6¿m), in conditions with low turbidity. Accurate bathymetry mapping can be accomplished with both sensors over environments with varying water transparency conditions, with the advantage of a fast, flexible, and economical solution. The 10-m MSI can capture small-scale features, such as tidal channels, straits relevant to navigation or steep slopes. While the least error is achieved by calibrating each image separately, a generic calibration produces only a moderately greater error with MedAE still ~1m, indicating the robustness of the approach. The research highlights the great potential of the 5-day revisit, suggesting that the twin Sentinel-2 mission of the Copernicus programme may enhance SDB to leverage its use for several operational purposes, particularly in remote and inaccessible regions of the world.
Publisher version (URL)http://doi.org/10.1016/j.ecss.2019.106277
URIhttp://hdl.handle.net/10261/211126
Identifiersdoi: 10.1016/j.ecss.2019.106277
issn: 0272-7714
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