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Methane ($CH_4$) is a potent anthropogenic greenhouse gas, contributing 86 times more to global warming than Carbon Dioxide ($CO_2$) over 20 years, and it also acts as an air pollutant. Given its high radiative forcing potential and…

计算机视觉与模式识别 · 计算机科学 2024-08-28 Enno Tiemann , Shanyu Zhou , Alexander Kläser , Konrad Heidler , Rochelle Schneider , Xiao Xiang Zhu

Anthropogenic methane (CH4) point sources drive near-term climate forcing, safety hazards, and system inefficiencies. Space-based imaging spectroscopy is emerging as a tool for identifying emissions globally, but existing approaches largely…

Prioritizing methane for near-term climate action is crucial due to its significant impact on global warming. Previous work used columnwise matched filter products from the airborne AVIRIS-NG imaging spectrometer to detect methane plume…

信号处理 · 电气工程与系统科学 2025-06-10 Vassiliki Mancoridis , Brian Bue , Jake H. Lee , Andrew K. Thorpe , Daniel Cusworth , Alana Ayasse , Philip G. Brodrick , Riley Duren

Methane is a powerful greenhouse gas that contributes significantly to global warming. Accurate detection of methane emissions is the key to taking timely action and minimizing their impact on climate change. We present AttMetNet, a novel…

计算机视觉与模式识别 · 计算机科学 2025-12-03 Rakib Ahsan , MD Sadik Hossain Shanto , Md Sultanul Arifin , Tanzima Hashem

The strong radiative forcing by atmospheric methane has stimulated interest in identifying natural and anthropogenic sources of this potent greenhouse gas. Point sources are important targets for quantification, and anthropogenic targets…

This paper tackles the challenging problem of detecting methane plumes, a potent greenhouse gas, using Sentinel-2 imagery. This contributes to the mitigation of rapid climate change. We propose a novel deep learning solution based on U-Net…

计算机视觉与模式识别 · 计算机科学 2025-08-25 Khai Duc Minh Tran , Hoa Van Nguyen , Aimuni Binti Muhammad Rawi , Hareeshrao Athinarayanarao , Ba-Ngu Vo

Reducing methane emissions is essential for mitigating global warming. To attribute methane emissions to their sources, a comprehensive dataset of methane source infrastructure is necessary. Recent advancements with deep learning on…

计算机视觉与模式识别 · 计算机科学 2022-08-16 Bryan Zhu , Nicholas Lui , Jeremy Irvin , Jimmy Le , Sahil Tadwalkar , Chenghao Wang , Zutao Ouyang , Frankie Y. Liu , Andrew Y. Ng , Robert B. Jackson

Methane is one of the most potent greenhouse gases, and its short atmospheric half-life makes it a prime target to rapidly curb global warming. However, current methane emission monitoring techniques primarily rely on approximate emission…

地球物理 · 物理学 2023-08-23 Bertrand Rouet-Leduc , Thomas Kerdreux , Alexandre Tuel , Claudia Hulbert

Mitigating anthropogenic methane sources is one of the most cost-effective levers to slow down global warming. While satellite-based imaging spectrometers, such as EMIT, PRISMA, and EnMAP, can detect these point sources, current methane…

Methane is a potent greenhouse gas and a major driver of climate change, making its timely detection critical for effective mitigation. Machine learning (ML) deployed onboard satellites can enable rapid detection while reducing downlink…

计算机视觉与模式识别 · 计算机科学 2026-05-14 Maggie Chen , Hala Lamdouar , Luca Marini , Laura Martínez-Ferrer , Chris Bridges , Giacomo Acciarini

As global warming intensifies, increased attention is being paid to monitoring fugitive methane emissions and detecting gas plumes from landfills. We have divided methane emission monitoring into three subtasks: methane concentration…

计算机视觉与模式识别 · 计算机科学 2024-10-03 Guoxin Si , Shiliang Fu , Wei Yao

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 emissions, creating an opportunity for substantial…

Methane emissions from livestock, particularly cattle, significantly contribute to climate change. Effective methane emission mitigation strategies are crucial as the global population and demand for livestock products increase. We…

计算机视觉与模式识别 · 计算机科学 2024-04-18 Toqi Tahamid Sarker , Mohamed G Embaby , Khaled R Ahmed , Amer AbuGhazaleh

Optical emission spectroscopy from a small-volume, 5 uL, atmospheric pressure RF-driven helium plasma was used in conjunction with Partial Least Squares Discriminant Analysis (PLS-DA) for the detection of trace concentrations of methane…

等离子体物理 · 物理学 2022-07-12 Tahereh Shah Mansouri , Hui Wang , Davide Mariotti , Paul Maguire

Methane is a potent greenhouse gas, and detecting its leaks early via hyperspectral satellite imagery can help mitigate climate change. Meanwhile, many existing missions operate in manual tasking regimes only, thus missing potential events…

计算机视觉与模式识别 · 计算机科学 2025-07-03 Jonáš Herec , Vít Růžička , Rado Pitoňák

The new generation of hyperspectral imagers, such as PRISMA, has improved significantly our detection capability of methane (CH4) plumes from space at high spatial resolution (30m). We present here a complete framework to identify CH4…

计算机视觉与模式识别 · 计算机科学 2022-11-29 Alexis Groshenry , Clement Giron , Thomas Lauvaux , Alexandre d'Aspremont , Thibaud Ehret

Spaceborne imaging spectroscopy enables facility-scale methane (CH4) plume detection and quantification by exploiting absorption structure in the 1.65/2.3 um windows. However, performance ultimately depends on both radiometric sensitivity…

图像与视频处理 · 电气工程与系统科学 2026-05-12 Alvise Ferrari , Valerio Pampanoni , Giovanni Laneve

Methane (CH$_4$) is the second most powerful greenhouse gas after carbon dioxide and plays a crucial role in climate change due to its high global warming potential. Accurately modeling CH$_4$ fluxes across the globe and at fine temporal…

Continuous and global detection of large methane emissions is a crucial step for global warming mitigation. Satellite observations, such as from S5P/TROPOMI, combined with plume detection algorithms, can play a key role in this effort.…

机器学习 · 计算机科学 2026-05-27 Solomiia Kurchaba , Joannes D. Maasakkers , Berend J. Schuit , Ilse Aben

Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learning framework for plume detection from MethaneSAT retrieved…

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