Gonzalo Mateo-García
Gonzalo Mateo-García
United Nations Enviornmental Programme
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Convolutional Neural Networks for Cloud Screening: Transfer Learning from Landsat-8 to Proba-V
G Mateo-García, L Gómez-Chova
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Proba-V cloud detection Round Robin: Validation results and recommendations
RQ Iannone, F Niro, P Goryl, S Dransfeld, B Hoersch, K Stelzer, G Kirches, ...
Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017 9th …, 2017
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