| 2024 | IGARSS | Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution. | Francesco Nattino, Emma Izquierdo-Verdiguier, Pranav Chandramouli, Meiert W. Grootes, Ou Ku, Fakhereh Alidoost, Ral Zurita-Milla |
| 2024 | IGARSS | Comparative Evaluation of XAI Methods for Transparent Crop Yield Estimation Using CNN. | Arun Venugopal, Mahdi Farnaghi, Ral Zurita-Milla |
| 2024 | IGARSS | Harmonizing Machine Learning Based Phenological Modeling: A Unified Workflow for Comparative Analyses. | Mahdi Khodadadzadeh, Peter Kalverla, Ral Zurita-Milla |
| 2018 | IGARSS | Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series. | Vernica Andreo, Emma Izquierdo-Verdiguier, Ral Zurita-Milla, Roberto Ros, Annapaola Rizzoli, Anna Papa |
| 2018 | IGARSS | Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval. | Emma Izquierdo-Verdiguier, Ral Zurita-Milla |
| 2015 | IGARSS | Introducing co-clustering for hyperspectral image analysis. | Emma Izquierdo-Verdiguier, Ral Zurita-Milla |
| 2012 | IGARSS | Mapping specific crop- A multi sensor temporal approach. | Gourav Misra, Anil Kumar, N. R. Patel, Ral Zurita-Milla, Alka Singh |
| 2007 | IGARSS | Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data. | Zbynek Malenovsk, Lucie Homolov, Pavel Cudlin, Ral Zurita-Milla, Michael E. Schaepman, Jan G. P. W. Clevers, Emmanuel Martin, Jean-Philippe Gastellu-Etchegorry |
| 2003 | IGARSS | Characterizing the spatial and temporal variability of biophysical variables of a wheat crop using hyper-spectral measurements. | Sophie Moulin, Ral Zurita-Milla, Martine Gurif, Frdric Baret |