| Prototyping crop traits retrieval models for CHIME: Dimensionality reduction strategies applied to PRISMA data AB Pascual-Venteo, E Portalés, K Berger, G Tagliabue, JL Garcia, ... Remote sensing 14 (10), 2448, 2022 | 20 | 2022 |
| Assessing the sentinel-2 capabilities to identify abandoned crops using deep learning E Portalés-Julià, M Campos-Taberner, FJ García-Haro, MA Gilabert Agronomy 11 (4), 654, 2021 | 20 | 2021 |
| Prototyping vegetation traits models in the context of the hyperspectral CHIME mission preparation J Verrelst, C De Grave, E Amin, P Reyes, M Morata, E Portales, S Belda, ... 2021 IEEE international geoscience and remote sensing symposium IGARSS, 7678 …, 2021 | 10 | 2021 |
| ML framework for global river flood predictions based on the Caravan dataset I Bouri, M Lahariya, O Nivron, EP Julia, D Backes, P Bilinski, G Schumann arXiv preprint arXiv:2212.00719, 2022 | 1 | 2022 |
| Clouds aware flood extent segmentation for emergency response services G Mateo-Garcia, E Portales, F Liu, E Nemni, JE Johnson, L Kruitwagen, ... AGU Fall Meeting Abstracts 2021, NH44A-05, 2021 | 1 | 2021 |
| Global flood extent segmentation in optical satellite images E Portalés-Julià, G Mateo-García, C Purcell, L Gómez-Chova Scientific Reports 13 (1), 20316, 2023 | | 2023 |
| Development of hybrid models for the operational retrieval of vegetation traits from the hyperspectral CHIME mission E Portalés, J Verrelst, C De Grave, E Amin, P Reyes, M Morata, K Berger, ... EGU General Assembly Conference Abstracts, EGU21-11084, 2021 | | 2021 |
