Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier

Yala, Khalil; Niang, N'Dèye; Brajard, Julien; Mejia, Carlos; Ouattara, Mory; El Hourany, Roy; Crépon, Michel; Thiria, Sylvie

doi:https://doi.org/10.5194/os-16-513-2020

Articles | Volume 16, issue 2

https://doi.org/10.5194/os-16-513-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-16-513-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 2

Research article

|

24 Apr 2020

Research article |

| 24 Apr 2020

Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier

Khalil Yala, N'Dèye Niang, Julien Brajard, Carlos Mejia, Mory Ouattara, Roy El Hourany, Michel Crépon, and Sylvie Thiria

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Final revised paper (published on 24 Apr 2020)
Preprint (discussion started on 20 Mar 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments to the manuscript of Yala et al. 2019', Yangyang Liu, 02 May 2019
- AC2: 'Answers to reviewer n°1', Michel CREPON, 20 Dec 2019
- AC4: 'Answers to reviewer n°1', Michel CREPON, 20 Dec 2019
AC1: 'answer to reviewer comments', Michel CREPON, 14 May 2019
RC2: 'Interactive comment on “Estimation of phytoplankton pigments from ocean-color satellite observations in the Sénégalo-Mauritanian region by using an advanced neural classifier” by Khalil Yala et al.', Anonymous Referee #2, 03 Nov 2019
- AC3: 'Answers to reviewer n°2', Michel CREPON, 20 Dec 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Michel Crepon on behalf of the Authors (23 Dec 2019) Manuscript

ED: Referee Nomination & Report Request started (23 Jan 2020) by Oliver Zielinski

RR by Anonymous Referee #2 (28 Jan 2020)

RR by Yangyang Liu (05 Feb 2020)

ED: Publish subject to technical corrections (18 Feb 2020) by Oliver Zielinski

AR by Michel Crepon on behalf of the Authors (24 Feb 2020) Manuscript

Short summary

The paper is a contribution to the study of phytoplankton pigment climatology from satellite ocean-color observations in the Senegalo–Mauritanian upwelling, which is a very productive region where in situ observations are lacking. We processed the satellite data with an efficient new neural network classifier. We were able to provide the climatological cycle of diatoms. This study may have an economic impact on fisheries thanks to better knowledge of phytoplankton dynamics.