no code implementations • 4 Oct 2019 • Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, Dietmar Backes
Satellite imaging is a critical technology for monitoring and responding to natural disasters such as flooding.
no code implementations • 15 Nov 2020 • Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis
A complete map of our daily waters can give us an early warning for where droughts are born: the receding tips of the flowing network.
no code implementations • 5 Nov 2021 • Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis
High resolution remote sensing imagery is used in broad range of tasks, including detection and classification of objects.
1 code implementation • 8 Dec 2020 • Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi
Water quality parameters are derived applying several machine learning regression methods on the Case2eXtreme dataset (C2X).
1 code implementation • 4 Nov 2021 • Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
In this paper, we introduce RaVAEn, a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose of on-board deployment.