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Air pollution is a major driver of climate change. Anthropogenic emissions from the burning of fossil fuels for transportation and power generation emit large amounts of problematic air pollutants, including Greenhouse Gases (GHGs). Despite…

机器学习 · 计算机科学 2021-09-01 Linus Scheibenreif , Michael Mommert , Damian Borth

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

Operational deployment of a fully automated facility-scale greenhouse gas (GHG) plume detection system remains challenging for fine spatial resolution imaging spectrometers, despite recent advances in deep learning approaches. With the…

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

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

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…

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…

Future imaging spectrometers will increase data volumes by orders of magnitude, requiring automated detection of trace gas point sources. We present a fully automated framework that combines machine learning-based morphological analysis…

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

The shipping industry is one of the strongest anthropogenic emitters of $\text{NO}_\text{x}$ -- substance harmful both to human health and the environment. The rapid growth of the industry causes societal pressure on controlling the…

计算机视觉与模式识别 · 计算机科学 2023-04-10 Solomiia Kurchaba , Jasper van Vliet , Fons J. Verbeek , Jacqueline J. Meulman , Cor J. Veenman

Satellite remote imaging enables the detailed study of land use patterns on a global scale. We investigate the possibility to improve the information content of traditional land use classification by identifying the nature of industrial…

计算机视觉与模式识别 · 计算机科学 2021-07-26 Michael Mommert , Linus Scheibenreif , Joëlle Hanna , Damian Borth

At least a quarter of the warming that the Earth is experiencing today is due to anthropogenic methane emissions. There are multiple satellites in orbit and planned for launch in the next few years which can detect and quantify these…

Industrial smoke emissions pose a significant concern to human health. Prior works have shown that using Computer Vision (CV) techniques to identify smoke as visual evidence can influence the attitude of regulators and empower citizens to…

CO2 emissions from power plants, as significant super emitters, contribute substantially to global warming. Accurate quantification of these emissions is crucial for effective climate mitigation strategies. While satellite-based plume…

计算机视觉与模式识别 · 计算机科学 2025-02-05 Dibyabha Deb , Kamal Das

Efficient segmentation of smoke plumes is crucial for environmental monitoring and industrial safety, enabling the detection and mitigation of harmful emissions from activities like quarry blasts and wildfires. Accurate segmentation…

计算机视觉与模式识别 · 计算机科学 2025-02-19 Xuesong Liu , Emmett J. Ientilucci

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 ($CH_4$) 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

Air pollution is a major global environmental health threat, in particular for people who live or work near pollution sources. Areas adjacent to pollution sources often have high ambient pollution concentrations, and those areas are…

机器学习 · 计算机科学 2022-11-16 Yawen Zhang , Michael Hannigan , Qin Lv

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…

Air pollution poses a significant threat to public health and well-being, particularly in urban areas. This study introduces a series of machine-learning models that integrate data from the Sentinel-5P satellite, meteorological conditions,…

机器学习 · 计算机科学 2024-05-31 Giacomo Blanco , Luca Barco , Lorenzo Innocenti , Claudio Rossi
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