Quantifying Greenhouse Gases Emissions from Remote Sensing Perspective
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 29
Special Issue Editor
Special Issue Information
Dear Colleagues,
Greenhouse gas (GHG) emissions remain a primary driver of anthropogenic climate change, yet accurately quantifying their fluxes and distributions across diverse regions is a persistent challenge. Recent advances in remote sensing, encompassing satellite missions, airborne campaigns and ground-based instruments now provide unprecedented spatial and temporal resolution for monitoring key gases such as carbon dioxide, methane and nitrous oxide. This Special Issue aims to collect original research articles, methodological developments and comprehensive reviews focusing on the acquisition, processing and interpretation of remote sensing data for quantifying GHG emissions. We welcome submissions that address innovative sensor technologies, retrieval algorithms and assimilation frameworks, and modeling and inversion techniques that transform these observations into robust emissions estimates.
Contributions may discuss satellite-based observing systems, lidar and imaging spectroscopy approaches, machine learning applications or new data fusion methods. We especially encourage intercomparison studies that highlight uncertainties and best practices across regional to global scales and reports on the successful integration of remote sensing data into policy-relevant frameworks for climate mitigation.
Dr. Christoffer Karoff
Guest Editor
Manuscript Submission Information
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Keywords
- greenhouse gas emissions
- satellite remote sensing
- atmospheric inversion
- data assimilation
- climate change monitoring
- GHG retrieval algorithms
- environmental policy
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