Satellite-Based Monitoring and Quantitative Assessment of Greenhouse Gas Emissions

Dear Colleagues,

Satellite remote sensing has become a vital approach to quantifying and monitoring greenhouse gas emissions. Since the launch of GOSAT in 2009 and OCO-2 in 2014, advances in sensor design, calibration efforts, and retrieval algorithms have substantially improved the precision of space-based measurements of CO₂ and methane. These observations have played a crucial role in constraining surface fluxes at various spatio-temporal scales, from national carbon budgets to the ability to directly detect individual point sources at facility scales. The integration of satellite data with sophisticated atmospheric transport models, inverse modeling frameworks, data assimilation systems, and, more recently, machine learning techniques has become instrumental in translating observed GHG concentrations into quantitative emission estimates.

The number of spaceborne instruments for GHG measurements is rapidly increasing, and forthcoming missions promise greatly enhanced observational coverage. However, this proliferation of satellite measurements also creates new demands for cross-sensor calibration and validation, retrieval harmonization, uncertainty characterization, and more efficient modeling and analytical approaches.

This Special Issue welcomes the submission of studies that use satellite observations to advance our understanding of greenhouse gas emissions. The scope of this Special Issue includes, but is not limited to, the following topics:

• Carbon sources and sinks;
• Inverse modeling and data assimilation;
• Point-source detection and quantification;
• Multi-sensor data fusion;
• Evaluation and error analysis;
• Retrieval development;
• Trend and variability analysis;
• Machine learning applications.

Dr. Tai-Long He
Prof. Dr. Shaohua Zhao
Guest Editors

Manuscript Submission Information

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