| Towards global flood mapping onboard low cost satellites with machine learning G Mateo-Garcia, J Veitch-Michaelis, L Smith, SV Oprea, G Schumann, ... Scientific Reports 11 (1), 1-12, 2021 | 189 | 2021 |
| Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt A Wolanin, G Mateo-García, G Camps-Valls, L Gómez-Chova, M Meroni, ... Environmental Research Letters 15 (2), 024019, 2020 | 175 | 2020 |
| Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2 S Skakun, J Wevers, C Brockmann, G Doxani, M Aleksandrov, M Batič, ... Remote Sensing of Environment 274, 112990, 2022 | 163 | 2022 |
| Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations A Wolanin, G Camps-Valls, L Gómez-Chova, G Mateo-García, ... Remote Sensing of Environment 225, 441-457, 2019 | 161 | 2019 |
| Multitemporal Cloud Masking in the Google Earth Engine G Mateo-García, L Gómez-Chova, J Amorós-López, J Muñoz-Marí, ... Remote Sensing 10 (7), 1079, 2018 | 152 | 2018 |
| Fair kernel learning A Pérez-Suay, V Laparra, G Mateo-García, J Muñoz-Marí, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 107 | 2017 |
| Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data AB Ruescas, M Hieronymi, G Mateo-Garcia, S Koponen, K Kallio, ... Remote Sensing 10 (5), 786, 2018 | 91 | 2018 |
| Transferring deep learning models for cloud detection between Landsat-8 and Proba-V G Mateo-García, V Laparra, D López-Puigdollers, L Gómez-Chova ISPRS Journal of Photogrammetry and Remote Sensing 160, 1-17, 2020 | 77 | 2020 |
| Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images D López-Puigdollers, G Mateo-García, L Gómez-Chova Remote Sensing 13 (5), 992, 2021 | 70 | 2021 |
| Convolutional neural networks for multispectral image cloud masking G Mateo-García, L Gómez-Chova, G Camps-Valls 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 59 | 2017 |
| Cloud masking and removal in remote sensing image time series L Gómez-Chova, J Amorós-López, G Mateo-García, J Muñoz-Marí, ... Journal of Applied Remote Sensing 11 (1), 015005-015005, 2017 | 59 | 2017 |
| CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2 C Aybar, L Ysuhuaylas, J Loja, K Gonzales, F Herrera, L Bautista, R Yali, ... Scientific data 9 (1), 782, 2022 | 53 | 2022 |
| Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation MT Razzak, G Mateo-García, G Lecuyer, L Gómez-Chova, Y Gal, ... ISPRS Journal of Photogrammetry and Remote Sensing 195, 1-13, 2023 | 48 | 2023 |
| In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery G Mateo-García, J Veitch-Michaelis, C Purcell, N Longepe, S Reid, ... Scientific Reports 13 (1), 10391, 2023 | 27 | 2023 |
| RaVÆn: unsupervised change detection of extreme events using ML on-board satellites V Růžička, A Vaughan, D De Martini, J Fulton, V Salvatelli, C Bridges, ... Scientific reports 12 (1), 16939, 2022 | 27 | 2022 |
| Cross-sensor adversarial domain adaptation of Landsat-8 and Proba-V images for cloud detection G Mateo-García, V Laparra, D López-Puigdollers, L Gómez-Chova IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 27 | 2020 |
| Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation R Fernandez-Moran, L Gómez-Chova, L Alonso, G Mateo-García, ... ISPRS Journal of Photogrammetry and Remote Sensing 181, 238-253, 2021 | 26 | 2021 |
| Cloud detection machine learning algorithms for PROBA-V L Gómez-Chova, G Mateo-García, J Muñoz-Marí, G Camps-Valls 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 23 | 2017 |
| Unsupervised Change Detection of Extreme Events Using ML On-Board V Růžička, A Vaughan, D De Martini, J Fulton, V Salvatelli, C Bridges, ... arXiv preprint arXiv:2111.02995, 2021 | 21 | 2021 |
| Semantic segmentation of methane plumes with hyperspectral machine learning models V Růžička, G Mateo-Garcia, L Gómez-Chova, A Vaughan, L Guanter, ... Scientific Reports 13 (1), 19999, 2023 | 17 | 2023 |
Luis Gómez-ChovaFull Professor, Image Processing Laboratory (IPL), Universitat de ValenciaVerified email at uv.es
