Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters

This study examines the use of the Multi-Spectral Instrument (MSI) in Sentinel-2 satellite in combination with regression-based random forest models to estimate bathymetry along the extended southwestern Florida nearshore region. In this study, we focused on the development of a framework leading to...

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Bibliographische Detailangaben

Hauptverfasser:	Mudiyanselage, S.S.J.D, Abd-Elrahman, A, Wilkinson, B, Lecours, Vincent
Format:	Artikel
Sprache:	eng
Schlagworte:	airborne lidar bathymetry Informatique machine learning random forest satellite-derived bathymetry Sciences de la terre (géologie, géographie) sentinel-2
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