A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to In Situ Measurements. - Pierre Tandeo; Emmanuelle Autret; Jean-François Piollé; Jean Tournadre; Pierre Ailliot (IEEE Geosci. Remote. Sens. Lett., 2009)

Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields. - Pierre Tandeo; Sileye O. Ba; Ronan Fablet; Bertrand Chapron; Emmanuelle Autret (ICIP, 2013)

Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model. - Pierre Tandeo; Ronan Fablet; Pierre Ailliot (ICIP, 2014)

Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST. - Pierre Tandeo; Ronan Fablet; Pierre Ailliot (IGARSS, 2014)

Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations. - Pierre Tandeo; Bertrand Chapron; Sileye O. Ba; Emmanuelle Autret; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2014)

Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. - Redouane Lguensat; Pierre Tandeo; Ronan Fablet; Pierre Ailliot (ICIP, 2015)

An exemplar-based hidden Markov model framework for nonlinear state-space models. - Redouane Lguensat; Ronan Fablet; Pierre Ailliot; Pierre Tandeo (EUSIPCO, 2016)

Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data. - Manuel Lopez-Radcenco; Abdeldjalil Aïssa-El-Bey; Pierre Ailliot; Pierre Tandeo; Ronan Fablet (ICASSP, 2016)

Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter. - Xuan Wang 004; Pierre Tandeo; Ronan Fablet; Romain Husson; Lei Guan; Ge Chen 002 (Sensors, 2016)

Spatio-Temporal Decomposition of Satellite-Derived SST-SSH Fields: Links Between Surface Data and Ocean Interior Dynamics in the Agulhas Region. - Clément Le Goff; Ronan Fablet; Pierre Tandeo; Emmanuelle Autret; Bertrand Chapron (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. - Redouane Lguensat; Miao Sun; Ronan Fablet; Pierre Tandeo; Evan Mason; Ge Chen 002 (IGARSS, 2018)

Automated Geophysical Classification of Sentinel-L Wave Mode Sar Images Through Deep-Learning. - Chen Wang 038; Alexis Mouche; Pierre Tandeo; Justin Stopa; Bertrand Chapron; Ralph Foster; Douglas C. Vandemark (IGARSS, 2018)

Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures. - Stéphane Saux Picart; Pierre Tandeo; Emmanuelle Autret; Blandine Gausset (Remote. Sens., 2018)

Characteristics of Marine Atmospheric Boundary Layer Roll Vortices from Sentinel-1 Sar Wave Mode. - Chen Wang 038; Alexis Mouche; Ralph C. Foster; Douglas C. Vandemark; Justin Edward Stopa; Pierre Tandeo; Nicolas Longépé; Bertrand Chapron (IGARSS, 2019)

Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics. - Gautier Cosne; Guillaume Maze; Pierre Tandeo (CoRR, 2019)

Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. - Elodie Martinez; Anouar Brini; Thomas Gorgues; Lucas Drumetz; Joana Roussillon; Pierre Tandeo; Guillaume Maze; Ronan Fablet (Remote. Sens., 2020)

Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. - Aurélien Colin; Charles Peureux; Romain Husson; Nicolas Longépé; Régis Rauzy; Ronan Fablet; Pierre Tandeo; Samir Saoudi; Alexis Mouche; Gérald Dibarboure (IGARSS, 2021)

Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. - Maximiliano A. Sacco; Juan J. Ruiz; Manuel Pulido; Pierre Tandeo (CoRR, 2021)

Twenty-Seven Years of Scatterometer Surface Wind Analysis over Eastern Boundary Upwelling Systems. - Abderrahim Bentamy; Semyon A. Grodsky; Gildas Cambon; Pierre Tandeo; Xavier Capet; Claude Roy; Steven Herbette; Antoine Grouazel (Remote. Sens., 2021)

Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. - Aurélien Colin; Charles Peureux; Romain Husson; Ronan Fablet; Pierre Tandeo (IGARSS, 2022)

Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images. - Carlos Granero-Belinchón; Stéphane G. Roux; Nicolas B. Garnier; Pierre Tandeo; Bertrand Chapron; Alexis Mouche (CoRR, 2022)

Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Nicolas Longépé; Ronan Fablet (CoRR, 2022)

Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. - Aurélien Colin; Ronan Fablet; Pierre Tandeo; Romain Husson; Charles Peureux; Nicolas Longépé; Alexis Mouche (Remote. Sens., 2022)

Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. - Elodie Martinez; Anouar Brini; Thomas Gorgues; Lucas Drumetz; Joana Roussillon; Pierre Tandeo; Guillaume Maze; Ronan Fablet (Remote. Sens., 2022)

Gulf Stream Daily Temperature, Salinity and Mixed Layer Depth fields from Ocean Stratification network (OSnet). - Etienne Pauthenet; Loïc Bachelot; Anne-Marie Tréguier; Kevin Balem; Guillaume Maze; Fabien Roquet; Ronan Fablet; Pierre Tandeo (Zenodo, 2022)

Online machine-learning forecast uncertainty estimation for sequential data assimilation. - Maximiliano A. Sacco; Manuel Pulido; Juan J. Ruiz; Pierre Tandeo (CoRR, 2023)

Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Ronan Fablet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. - Maxime Beauchamp; Nicolas Desassis; J. Emmanuel Johnson; Simon Benaïchouche; Pierre Tandeo; Ronan Fablet (CoRR, 2024)

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Nicolas Longépé; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2024)