ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

Understanding and quantifying ocean carbon sinks of the planet is of paramount relevance in the current scenario of global change. Particulate organic carbon (POC) is a key biogeochemical parameter that helps us characterize export processes of the ocean. Ocean color observations enable the estimati...

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Bibliographic Details
Main Authors:	R. Sauzède, J. E. Johnson, H. Claustre, G. Camps-Valls, A. B. Ruescas
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-08-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/949/2020/isprs-annals-V-2-2020-949-2020.pdf

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