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Joana Roussillon
Joana Roussillon
Afiliación desconocida
Dirección de correo verificada de etudiant.univ-brest.fr
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Neural network approaches to reconstruct phytoplankton time-series in the global ocean
E Martinez, A Brini, T Gorgues, L Drumetz, J Roussillon, P Tandeo, ...
Remote Sensing 12 (24), 4156, 2020
122020
A Multi-Mode Convolutional Neural Network to reconstruct satellite-derived chlorophyll-a time series in the global ocean from physical drivers
J Roussillon, R Fablet, T Gorgues, L Drumetz, J Littaye, E Martinez
Frontiers in Marine Science 10, 1077623, 2023
72023
Développement de méthodes innovantes de cartographie de l’occupation du sol à partir de séries temporelles d’images haute résolution visible (NDVI)
J Roussillon
Mémoire présenté en vue d’obtenir le diplôme d’ingénieur cnam, 2016
52016
Chlorophyll-a satellite climate time series: How machine learning can help distinguish between bias and consistency
E Pauthenet, E Martinez, T Gorgues, J Roussillon, L Drumetz, R Fablet, ...
EGU24, 2024
2024
Contrasted trends in satellite derived ocean color time-series & potential benefits from machine learning
EC Martinez, E Pauthenet, T Gorgues, J Roussillon, R Fablet, L Drumetz, ...
2024 Ocean Sciences Meeting, 2024
2024
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 2020, 12, 4156
E Martinez, A Brini, T Gorgues, L Drumetz, J Roussillon, P Tandeo, ...
Remote Sensing 14 (22), 5669, 2022
2022
Spatial multi-modality as a way to improve both performance and interpretability of deep learning models to reconstruct phytoplankton time-series in the global ocean
J Roussillon, J Littaye, R Fablet, L Drumetz, T Gorgues, E Martinez
EGU General Assembly Conference Abstracts, EGU22-4534, 2022
2022
Deep learning approach to reconstruct satellite ocean color time series in the global ocean
J Roussillon, R Fablet, L Drumetz, T Gorgues, E Martinez
EGU General Assembly Conference Abstracts, EGU21-11974, 2021
2021
Wind erosion and dust emission in the Sahel: a regional modelling approach to evaluate the impact of climate and land-use
A Touré, B Marticorena, G Siour, C Pierre, C Bouet, G Bergametti, ...
les 30 ans d'Amma-Catch, 2018
2018
Impact of land use on wind erosion and dust emission in the Sahel: a regional modelling approach
B Marticorena, G Siour, C Pierre, C Bouet, G Bergametti, ...
INTERNATIONAL CONFERENCE ON AEOLIAN RESEARCH 2018, 2018
2018
Impact of land use on wind erosion and dust emission in the Sahel: a regional modelling approach
F Couvreux, F Guichard, M Grippa, P Hiernaux, L Kergoat, Y Largeron, ...
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