| Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes L Pipia, J Muñoz-Marí, E Amin, S Belda, G Camps-Valls, J Verrelst Remote Sensing of Environment 235, 111452, 2019 | 96 | 2019 |
| DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection S Belda, L Pipia, P Morcillo-Pallarés, JP Rivera-Caicedo, E Amin, ... Environmental Modelling & Software 127, 104666, 2020 | 89 | 2020 |
| Green LAI mapping and cloud gap-filling using Gaussian process regression in Google Earth Engine L Pipia, E Amin, S Belda, M Salinero-Delgado, J Verrelst Remote Sensing 13 (3), 403, 2021 | 72 | 2021 |
| Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources C De Grave, J Verrelst, P Morcillo-Pallarés, L Pipia, JP Rivera-Caicedo, ... Remote Sensing of Environment 251, 112101, 2020 | 63 | 2020 |
| Quantifying the robustness of vegetation indices through global sensitivity analysis of homogeneous and forest leaf-canopy radiative transfer models P Morcillo-Pallarés, JP Rivera-Caicedo, S Belda, C De Grave, H Burriel, ... Remote Sensing 11 (20), 2418, 2019 | 58 | 2019 |
| Polar motion prediction using the combination of SSA and Copula-based analysis S Modiri, S Belda, R Heinkelmann, M Hoseini, JM Ferrándiz, H Schuh Earth, planets and space 70, 1-18, 2018 | 53 | 2018 |
| Monitoring cropland phenology on Google Earth Engine using gaussian process regression M Salinero-Delgado, J Estévez, L Pipia, S Belda, K Berger, ... Remote sensing 14 (1), 146, 2021 | 49 | 2021 |
| A new hybrid method to improve the ultra-short-term prediction of LOD S Modiri, S Belda, M Hoseini, R Heinkelmann, JM Ferrándiz, H Schuh Journal of geodesy 94 (2), 23, 2020 | 48 | 2020 |
| Optimizing gaussian process regression for image time series gap-filling and crop monitoring S Belda, L Pipia, P Morcillo-Pallarés, J Verrelst Agronomy 10 (5), 618, 2020 | 36 | 2020 |
| The short-term prediction of length of day using 1D convolutional neural networks (1D CNN) S Guessoum, S Belda, JM Ferrandiz, S Modiri, S Raut, S Dhar, ... Sensors 22 (23), 9517, 2022 | 34 | 2022 |
| Testing a new free core nutation empirical model S Belda, JM Ferrándiz, R Heinkelmann, T Nilsson, H Schuh Journal of Geodynamics 94, 59-67, 2016 | 33 | 2016 |
| Quantifying fundamental vegetation traits over europe using the sentinel-3 olci catalogue in google earth engine P Reyes-Muñoz, L Pipia, M Salinero-Delgado, S Belda, K Berger, ... Remote sensing 14 (6), 1347, 2022 | 27 | 2022 |
| On the decorrelation filtering of RL05 GRACE data for global applications S Belda, D García-García, JM Ferrándiz Geophysical Journal International 200 (1), 173-184, 2015 | 23 | 2015 |
| Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L Kooistra, K Berger, B Brede, LV Graf, H Aasen, JL Roujean, M Machwitz, ... Biogeosciences 21 (2), 473-511, 2024 | 21 | 2024 |
| On the consistency of the current conventional EOP series and the celestial and terrestrial reference frames S Belda, R Heinkelmann, JM Ferrándiz, T Nilsson, H Schuh Journal of Geodesy 91 (2), 135-149, 2017 | 20 | 2017 |
| An improved empirical harmonic model of the celestial intermediate pole offsets from a global VLBI solution S Belda, R Heinkelmann, JM Ferrándiz, M Karbon, T Nilsson, H Schuh The Astronomical Journal 154 (4), 166, 2017 | 19 | 2017 |
| A new method to improve the prediction of the celestial pole offsets S Belda, JM Ferrándiz, R Heinkelmann, H Schuh Scientific Reports 8 (1), 13861, 2018 | 16 | 2018 |
| Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign J Śliwińska-Bronowicz, T Kur, M Wińska, H Dobslaw, J Nastula, A Partyka, ... Journal of Geodesy 98 (3), 22, 2024 | 13 | 2024 |
| Multi-season phenology mapping of Nile Delta croplands using time series of Sentinel-2 and Landsat 8 green LAI E Amin, S Belda, L Pipia, Z Szantoi, A El Baroudy, J Moreno, J Verrelst Remote sensing 14 (8), 1812, 2022 | 13 | 2022 |
| 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 | 12 | 2021 |
JM FerrandizVerified email at ua.es
