Cloud detection machine learning algorithms for PROBA-V. - Luis Gómez-Chova; Gonzalo Mateo-Garcia; Jordi Muñoz-Marí; Gustau Camps-Valls (IGARSS, 2017)

Convolutional neural networks for multispectral image cloud masking. - Gonzalo Mateo-Garcia; Luis Gómez-Chova; Gustau Camps-Valls (IGARSS, 2017)

Cloud detection on the Google Earth engine platform. - Gonzalo Mateo-Garcia; Jordi Muñoz-Marí; Luis Gómez-Chova (IGARSS, 2017)

Proba-V cloud detection Round Robin: Validation results and recommendations. - R. Q. Iannone; Fabrizio Niro; Philippe Goryl; Steffen Dransfeld; Bianca Hoersch; Kerstin Stelzer; Grit Kirches; M. Paperin; Carsten Brockmann; Luis Gómez-Chova; Gonzalo Mateo-Garcia; Rene Preusker; et al. (MultiTemp, 2017)

Fair Kernel Learning. - Adrián Pérez-Suay; Valero Laparra; Gonzalo Mateo-Garcia; Jordi Muñoz-Marí; Luis Gómez-Chova; Gustau Camps-Valls (ECML/PKDD (1), 2017)

Convolutional Neural Networks for Cloud Screening: Transfer Learning from Landsat-8 to Proba-V. - Gonzalo Mateo-Garcia; Luis Gómez-Chova (IGARSS, 2018)

Optimizing Kernel Ridge Regression for Remote Sensing Problems. - Gonzalo Mateo-Garcia; Valero Laparra; Luis Gómez-Chova (IGARSS, 2018)

Retrieval of Case 2 Water Quality Parameters with Machine Learning. - Ana B. Ruescas; Gonzalo Mateo-Garcia; Gustau Camps-Valls; Martin Hieronymi (IGARSS, 2018)

Multitemporal Cloud Masking in the Google Earth Engine. - Gonzalo Mateo-Garcia; Luis Gómez-Chova; Julia Amorós-López; Jordi Muñoz-Marí; Gustau Camps-Valls (Remote. Sens., 2018)

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. - Ana B. Ruescas; Martin Hieronymi; Gonzalo Mateo-Garcia; Sampsa S. Koponen; Kari Y. Kallio; Gustau Camps-Valls (Remote. Sens., 2018)

Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks. - Gonzalo Mateo-Garcia; José E. Adsuara; Adrián Pérez-Suay; Luis Gómez-Chova (IGARSS, 2019)

Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection. - Gonzalo Mateo-García; Valero Laparra; Luis Gómez-Chova (IGARSS, 2019)

Flood Detection On Low Cost Orbital Hardware. - Gonzalo Mateo-Garcia; Silviu Oprea; Lewis Smith; Josh Veitch-Michaelis; Guy Schumann; Yarin Gal; Atilim Günes Baydin; Dietmar Backes (CoRR, 2019)

Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion. - Dolores Garcia; Gonzalo Mateo-Garcia; Hannes Bernhardt; Ron Hagensieker; Ignacio G. Lopez Francos; Jonathan Stock; Guy Schumann; Kevin Dobbs; Freddie Kalaitzis (CoRR, 2020)

Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations. - Aleksandra Wolanin; Gustau Camps-Valls; Luis Gómez-Chova; Gonzalo Mateo-García; Christiaan van der Tol; Yongguang Zhang; Luis Guanter (CoRR, 2020)

Unsupervised Change Detection of Extreme Events Using ML On-Board. - Vít Ruzicka; Anna Vaughan; Daniele De Martini; James Fulton; Valentina Salvatelli; Chris Bridges 001; Gonzalo Mateo-Garcia; Valentina Zantedeschi (CoRR, 2021)

Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation. - Muhammed Razzak; Gonzalo Mateo-Garcia; Luis Gómez-Chova; Yarin Gal; Freddie Kalaitzis (CoRR, 2021)

Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images. - Dan López-Puigdollers; Gonzalo Mateo-García; Luis Gómez-Chova (Remote. Sens., 2021)

Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection. - Gonzalo Mateo-García; Valero Laparra; Dan López-Puigdollers; Luis Gómez-Chova (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Lessons Learned From Cloudsen12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets. - César Aybar; David Montero 001; Gonzalo Mateo-García; Luis Gómez-Chova (IGARSS, 2023)

Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators. - Gonzalo Mateo-García; César Aybar; Giacomo Acciarini; Vít Ruzicka; Gabriele Meoni; Nicolas Longépé; Luis Gómez-Chova (IGARSS, 2023)

Fast Model Inference and Training On-Board of Satellites. - Vít Ruzicka; Gonzalo Mateo-García; Chris Bridges 001; Chris Brunskill; Cormac Purcell; Nicolas Longépé; Andrew Markham (IGARSS, 2023)

Live Twinning: A Vision of ML Enabled Assets in Leo for Rapid Response to Natural Catastrophes. - James Parr; Giacomo Acciarini; Chris Bridges 001; Gonzalo Mateo-Garcia; Enrique Portales Julia; Cormac Purcell; Vít Ruzicka; Anne Spalding; Josh Veitch-Michaelis (IGARSS, 2024)

AI for operational methane emitter monitoring from space. - Anna Vaughan; Gonzalo Mateo-Garcia; Itziar Irakulis-Loitxate; Marc Watine; Pablo Fernandez-Poblaciones; Richard E. Turner; James Requeima; Javier Gorroño; Cynthia Randles; Manfredi Caltagirone; Claudio Cifarelli (CoRR, 2024)

Onboard Cloud Detection and Atmospheric Correction With Efficient Deep Learning Models. - César Aybar; Gonzalo Mateo-García; Giacomo Acciarini; Vít Ruzicka; Gabriele Meoni; Nicolas Longépé; Luis Gómez-Chova (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)