Neural networks to retrieve in water constituents applied to radiative transfer models simulating coastal water conditions

Neural networks to retrieve in water constituents applied to radiative transfer models simulating coastal water conditions

Estimation of chlorophyll (CHL) using ocean colour remote sensing (OCRS) signals in coastal waters is difficult due to the presence of two other constituents altering the light signal: coloured dissolved organic material (CDOM) and mineral suspended sediments (MSS). Artificial neural networks (NNs)...

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Bibliographic Details
Main Authors: Madjid Hadjal, Ross Paterson, David McKee
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Remote Sensing
Subjects:
artificial neural network
ocean colour remote sensing
MODIS aqua
chlorophyll a
coastal waters
modelled light
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2023.973944/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2023.973944/full

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