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Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States
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inferredcites →https://doi.org/10.5194/acp-13-2563-2013openalex-snapshot
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inferredcites →https://doi.org/10.5194/acp-22-3235-2022openalex-snapshot
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inferredcites →https://doi.org/10.5194/acp-22-6811-2022openalex-snapshot
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inferredcites →https://doi.org/10.5194/acp-22-9617-2022openalex-snapshot
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inferredcites →https://doi.org/10.5194/amt-11-5673-2018openalex-snapshot
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inferredcites →https://doi.org/10.5194/amt-12-2341-2019openalex-snapshot
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inferredcites →https://doi.org/10.5194/amt-15-1657-2022openalex-snapshot
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inferredcites →https://doi.org/10.5194/amt-7-491-2014openalex-snapshot
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inferredcites →https://doi.org/10.5194/amt-8-4383-2015openalex-snapshot
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inferredcites →https://doi.org/10.5194/essd-12-1561-2020openalex-snapshot
The Global Methane Budget 2000–2017
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inferred← citeshttps://doi.org/10.2139/ssrn.4762395openalex-extracted
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inferred← citeshttps://doi.org/10.1002/sd.3099openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00376-025-5061-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11270-025-09009-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11869-026-02108-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41748-025-00794-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-15748-6.00111-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apr.2025.102607openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cacint.2026.100493openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ces.2025.122364openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.earscirev.2026.105493openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103677openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.envc.2025.101398openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2024.132673openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.03.020openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.01.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jag.2025.104975openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jag.2026.105557openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123568openalex-snapshot
Global natural and anthropogenic methane emissions with approaches, potentials, economic costs, and social benefits of reductions: Review and outlook
inferred← citeshttps://doi.org/10.1016/j.jenvman.2025.124705openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jenvman.2026.128672openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jqsrt.2025.109444openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jqsrt.2025.109485openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.resenv.2025.100190openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101822openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2023.113986openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2024.114368openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2025.114623openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2025.114860openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2025.115058openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2025.115224openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rse.2026.115478openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.est.4c07415openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/17538947.2026.2677964openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1748-9326/ad8806openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1748-9326/adc0b1openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/2752-5309/ae1bc7openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00301openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10641398openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jstars.2025.3538897openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mgrs.2026.3687648openalex-snapshot
Atmospheric Methane Monitoring Using Satellites: Bibliometric and visual analytics
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3440174openalex-snapshot
Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3545034openalex-snapshot
MAM-YOLOv9: A Multiattention Mechanism Network for Methane Emission Facility Detection in High-Resolution Satellite Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3608601openalex-snapshot
Multiplatform Methane Plume Detection via Model and Domain Adaptation
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3720505openalex-snapshot
Scene-Based Spectral Characterization of Spaceborne Imaging Spectrometers in Different Spectral Windows
inferred← citeshttps://doi.org/10.1117/12.2678614openalex-snapshot
Preliminary alignment, characterization, and comparison of next generation carbon mapping imaging spectrometers
inferred← citeshttps://doi.org/10.1126/science.adi7735openalex-snapshot
Quantifying methane emissions from United States landfills
inferred← citeshttps://doi.org/10.1126/science.adv3183openalex-snapshot
Global energy sector methane emissions estimated by using facility-level satellite observations
inferred← citeshttps://doi.org/10.1146/annurev-chembioeng-100724-074807openalex-snapshot
Multiscale Measurement and Modeling of Methane Emissions in US Oil and Gas Production Regions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5913782/v1openalex-snapshot
Towards global carbon transparency: Spaceborne imaging spectroscopy enables precise CO2 emission quantification at facility scale
inferred← citeshttps://doi.org/10.2139/ssrn.5006644openalex-snapshot
Identification of False Methane Plumes for Orbital Imaging Spectrometers: A Case Study with Emit
inferred← citeshttps://doi.org/10.2139/ssrn.5044779openalex-snapshot
Quantifying Thermal Power Plants Co2 Emissions Globally from Space Using Hyperspectral Imagers
inferred← citeshttps://doi.org/10.31223/x5dq24openalex-snapshot
Multi-satellite data depicts record-breaking methane leak from a well blowout
inferred← citeshttps://doi.org/10.31223/x5vm3hopenalex-snapshot
An optimized methane retrieval approach based on Kalman filter for mapping methane point emissions from spaceborne imaging spectrometer
inferred← citeshttps://doi.org/10.3390/atmos16050510openalex-snapshot
Global Methane Retrieval, Monitoring, and Quantification in Hotspot Regions Based on AHSI/ZY-1 Satellite
inferred← citeshttps://doi.org/10.3390/atmos16111245openalex-snapshot
Investigation of China’s Anthropogenic Methane Emissions with Approaches, Potentials, Economic Cost, and Social Benefits of Reductions
inferred← citeshttps://doi.org/10.3390/atmos17050450openalex-snapshot
Spatiotemporal Persistence and Directed Influence Pathways of Regional CO2 Concentrations in China
inferred← citeshttps://doi.org/10.3390/methane5010010openalex-snapshot
A Multi-Sensor Framework for Methane Detection and Flux Estimation with Scale-Aware Plume Segmentation and Uncertainty Propagation from High-Resolution Spaceborne Imaging Spectrometers
inferred← citeshttps://doi.org/10.3390/mining6020035openalex-snapshot
Methane Detection of Super-Emitters by Remote Sensing and Investigation of Wind-Driven Bias in Complex Terrain: A Multi-Instrument Analysis
inferred← citeshttps://doi.org/10.3390/rs16061023openalex-snapshot
Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data
inferred← citeshttps://doi.org/10.3390/rs16234503openalex-snapshot
Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions
inferred← citeshttps://doi.org/10.3390/rs17020220openalex-snapshot
High-Resolution Satellite Reveals the Methane Emissions from China’s Coal Mines
inferred← citeshttps://doi.org/10.3390/rs17020244openalex-snapshot
Characterizing Sparse Spectral Diversity Within a Homogenous Background: Hydrocarbon Production Infrastructure in Arctic Tundra near Prudhoe Bay, Alaska
inferred← citeshttps://doi.org/10.3390/rs17040634openalex-snapshot
Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique
inferred← citeshttps://doi.org/10.3390/rs17183143openalex-snapshot
Estimating Methane Emissions by Integrating Satellite Regional Emissions Mapping and Point-Source Observations: Case Study in the Permian Basin
inferred← citeshttps://doi.org/10.3390/rs17243973openalex-snapshot
Characterization and Quantification of Methane Emission Plumes and Super-Emitter Detection Across North-Central Brazil Using Hyperspectral Satellite Data
inferred← citeshttps://doi.org/10.3390/rs18081195openalex-snapshot
Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter
inferred← citeshttps://doi.org/10.3390/rs18111765openalex-snapshot
Characterizing Global Methane Point-Source Emission Structures from Multi-Source Satellite Data and National Inventories: Implications for Differentiated Mitigation Pathways
inferred← citeshttps://doi.org/10.3390/s24113488openalex-snapshot
Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications
inferred← citeshttps://doi.org/10.3390/su18126098openalex-snapshot
How Does E-Commerce Development Affect Urban Low-Carbon Transition: New Insights from China’s E-Commerce Demonstration Pilot Zones
inferred← citeshttps://doi.org/10.5194/acp-23-14577-2023openalex-snapshot
Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants
inferred← citeshttps://doi.org/10.5194/acp-24-10441-2024openalex-snapshot
Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data
inferred← citeshttps://doi.org/10.5194/acp-26-2941-2026openalex-snapshot
Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT
inferred← citeshttps://doi.org/10.5194/amt-17-2625-2024openalex-snapshot
U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers
inferred← citeshttps://doi.org/10.5194/amt-17-2937-2024openalex-snapshot
A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B
inferred← citeshttps://doi.org/10.5194/amt-18-5545-2025openalex-snapshot
Assessing the Detection of Methane Plumes in Offshore Areas Using High-Resolution Imaging Spectrometers
inferred← citeshttps://doi.org/10.5194/amt-18-6933-2025openalex-snapshot
The Carbon Mapper emissions monitoring system
inferred← citeshttps://doi.org/10.5194/amt-18-7153-2025openalex-snapshot
A helicopter-based mass balance approach for quantifying methane emissions from industrial activities, applied for coal mine ventilation shafts in Poland
inferred← citeshttps://doi.org/10.5194/amt-19-4637-2026openalex-snapshot
Automatic methane plume masking based on wavelet transform image processing: application to MethaneAIR and MethaneSAT data
inferred← citeshttps://doi.org/10.5194/amt-19-5659-2026openalex-snapshot
Machine learning-based emission rate estimates of global methane super-emissions
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3047-rc1openalex-snapshot
Comment on egusphere-2023-3047
inferred← citeshttps://doi.org/10.5194/essd-17-7019-2025openalex-snapshot
Using new geospatial data and 2020 fossil fuel methane emissions for the Global Fuel Exploitation Inventory (GFEI) v3
inferred← citeshttps://doi.org/10.5194/gmd-19-1683-2026openalex-snapshot
GHGPSE-Net: a method towards spaceborne automated extraction of greenhouse-gas point sources using point-object-detection deep neural network
inferred← citeshttps://doi.org/10.5194/gmd-19-5979-2026openalex-snapshot
HyperGas 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification
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