Missing data reconstruction and anomaly detection in crop development using agronomic indicators derived from multispectral satellite images. - Mohanad Albughdadi; Denis Kouame; Guillaume Rieu; Jean-Yves Tourneret (IGARSS, 2017)

FabSpace 2.0, utilisation d'images d'observation de la Terre et des océans en classe. - Josiane Mothe; Guillaume Rieu (Ingénierie des Systèmes d Inf., 2017)

Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Hervé Poilvé; Guillaume Rieu; Jean-Yves Tourneret (CoRR, 2020)

Towards a massive sentinel-2 LAI time-series production using 2-D convolutional networks. - Mohanad Albughdadi; Guillaume Rieu; Sylvie Duthoit; Mohammed Alswaitti (Comput. Electron. Agric., 2021)

Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Guillaume Rieu; Jean-Yves Tourneret (CoRR, 2021)

Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Guillaume Rieu; Jean-Yves Tourneret (Remote. Sens., 2021)

Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Guillaume Rieu; Jean-Yves Tourneret (Comput. Electron. Agric., 2022)