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Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll-a and turbidity algorithms

High resolution imaging spectrometers are prerequisite to address significant data gaps in inland optical water quality monitoring. In this work, we provide a data-driven alignment of chlorophyll-a and turbidity derived from the Sentinel-2 MultiSpectral Imager (MSI) with corresponding Sentinel-3 Oce...

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Detalles Bibliográficos
Autores principales: Warren, Mark A., Simis, Stefan G.H., Selmes, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Elsevier Pub. Co 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507437/
https://www.ncbi.nlm.nih.gov/pubmed/34732943
http://dx.doi.org/10.1016/j.rse.2021.112651