Roy El Hourany
Roy El Hourany
LOG, Univ. Littoral Côte d’Opale, Univ. Lille, CNRS, IRD
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Vulnerability assessment of the South-Lebanese coast: A GIS-based approach
Y Ghoussein, M Mhawej, A Jaffal, A Fadel, R El Hourany, G Faour
Ocean & Coastal Management 158, 56-63, 2018
Estimation of secondary phytoplankton pigments from satellite observations using self‐organizing maps (SOMs)
R El Hourany, M Abboud‐abi Saab, G Faour, O Aumont, M Crépon, ...
Journal of Geophysical Research: Oceans 124 (2), 1357-1378, 2019
Phytoplankton diversity in the Mediterranean Sea from satellite data using self‐organizing maps
R El Hourany, M Abboud‐Abi Saab, G Faour, C Mejia, M Crépon, S Thiria
Journal of Geophysical Research: Oceans 124 (8), 5827-5843, 2019
Spatio-temporal variability of the phytoplankton biomass in the Levantine basin between 2002 and 2015 using MODIS products
R El Hourany, A Fadel, E Gemayel, M Abboud-Abi Saab, G Faour
Oceanologia 59 (2), 153-165, 2017
Evidencing the impact of climate change on the phytoplankton community of the Mediterranean Sea through a bioregionalization approach
R El Hourany, C Mejia, G Faour, M Crépon, S Thiria
Journal of Geophysical Research: Oceans 126 (4), 2021
Inversion of phytoplankton pigment vertical profiles from satellite data using machine learning
A Puissant, R El Hourany, AA Charantonis, C Bowler, S Thiria
Remote Sensing 13 (8), 1445, 2021
Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier
K Yala, ND Niang, J Brajard, C Mejia, M Ouattara, R El Hourany, ...
Ocean Science 16 (2), 513-533, 2020
Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods
G Baaklini, R El Hourany, M Fakhri, J Brajard, L Issa, G Fifani, L Mortier
Ocean Science 18 (5), 1491-1505, 2022
A Neural-based Bio-regionalization of the Mediterranean Sea using Satellite and Argo-Float Records.
R El Hourany, C Mejia, G Faour, S Thiria, M Crépon
Proceedings of the 10th International Conference on Climate Informatics, 120-127, 2020
Predicting global distributions of eukaryotic plankton communities from satellite data
H Kaneko, H Endo, N Henry, C Berney, F Mahé, J Poulain, K Labadie, ...
ISME communications 3 (1), 101, 2023
Linking satellites to genes with machine learning to estimate major phytoplankton groups from space
R El Hourany, JP Karlusich, L Zinger, H Loisel, M Levy, C Bowler
Global observation of plankton communities from space
H Kaneko, H Endo, N Henry, C Berney, F Mahé, J Poulain, K Labadie, ...
bioRxiv, 2022.09. 23.508961, 2022
Modification of phytoplankton group diversity over submesoscale fronts
C Haëck, M Levy, L Bopp, R El Hourany
EGU General Assembly Conference Abstracts, EGU21-4178, 2021
Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning. Remote Sens. 2021, 13, 1445
A Puissant, R El Hourany, AA Charantonis, C Bowler, S Thiria
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
Connecting Satellites to Genes; a new machine learning approach to observe phytoplankton diversity in the global ocean
R EL Hourany, J Pierella Karlusich, D Eveillard, G Kettani, M Levy, ...
AGU Fall Meeting Abstracts 2020, OS023-0002, 2020
Remote Sensing of Phytoplankton using Neural Network; from Global to Regional, from Pigment Composition to Bioregions
R El Hourany
Sorbonne Université, 2019
Télédétection du phytoplancton par méthode neuronale: du global au régional, de la composition pigmentaire aux biorégions
R El Hourany
Sorbonne université, 2019
Etude de la variabilité spatio-temporelle du phytoplancton à partir des pigments secondaires estimés par les observations satellitaires.
R El Hourany, M Abboud-Abi Saab, G Faour, J Brajard, M Crépon, ...
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