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...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Taylor & Francis Group
2022-12-01
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| Colección: | GIScience & Remote Sensing |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1080/15481603.2022.2100597 |
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