212 citations · 298 across the 10 of their papers we have counts for
12 papers
Artificial intelligence for methane detection: from continuous monitoring to verified mitigation
Gonzalo Mateo-Garcia, Anna Allen, Itziar Irakulis-Loitxate +13
Methane is a potent greenhouse gas, responsible for roughly 30% of warming since pre-industrial times. A small number of large point sources account for a disproportionate share of…
AI for operational methane emitter monitoring from space
Anna Vaughan, Gonzalo Mateo-Garcia, Itziar Irakulis-Loitxate +8
Mitigating methane emissions is the fastest way to stop global warming in the short-term and buy humanity time to decarbonise. Despite the demonstrated ability of remote sensing in…
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 +2
High resolution remote sensing imagery is used in broad range of tasks, including detection and classification of objects. High-resolution imagery is however expensive, while lower…
Unsupervised Change Detection of Extreme Events Using ML On-Board
Vít Růžička, Anna Vaughan, Daniele De Martini +5
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…
Cloud detection machine learning algorithms for PROBA-V
Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí +1
This paper presents the development and implementation of a cloud detection algorithm for Proba-V. Accurate and automatic detection of clouds in satellite scenes is a key issue for…
Convolutional Neural Networks for Multispectral Image Cloud Masking
Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls
Convolutional neural networks (CNN) have proven to be state of the art methods for many image classification tasks and their use is rapidly increasing in remote sensing problems. O…