212 citations · 301 across the 11 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…
Retrieval of Case 2 Water Quality Parameters with Machine Learning
Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls +1
Water quality parameters are derived applying several machine learning regression methods on the Case2eXtreme dataset (C2X). The used data are based on Hydrolight in-water radiativ…
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 +4
Satellite remote sensing has been widely used in the last decades for agricultural applications, {both for assessing vegetation condition and for subsequent yield prediction.} Exis…
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion
Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt +6
Where are the Earth's streams flowing right now? Inland surface waters expand with floods and contract with droughts, so there is no one map of our streams. Current satellite appro…
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection
Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers +1
The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among…
Flood Detection On Low Cost Orbital Hardware
Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith +5
Satellite imaging is a critical technology for monitoring and responding to natural disasters such as flooding. Despite the capabilities of modern satellites, there is still much t…
Fair Kernel Learning
Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-García +3
New social and economic activities massively exploit big data and machine learning algorithms to do inference on people's lives. Applications include automatic curricula evaluation…