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Water quality and remote sensing reflectance data for global inland, coastal and ocean waters

Fuente: PANGAEA

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Détails bibliographiques
Auteurs principaux:	Maciel, Daniel A, Pahlevan, Nima, Barbosa, Cláudio C F
Format:	Dataset Open Access
Langue:	en
Publié:	PANGAEA 2023
Sujets:	Binary Object; Binary Object (File Size); Binary Object (Media Type); CDOM; Chlorophyll a; File content; GLORIA; reflectance; remote sensing reflectance; Secchi; Secchi disk depth; suspended sediments; water quality
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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