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Advances in Remote Sensing Technologies for Carbon Emissions Monitoring, Reporting, and Verification

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 15 September 2026 | Viewed by 111

Special Issue Editors


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Guest Editor
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China
Interests: monitoring and analysis of carbon emissions and carbon sinks; LiDAR; greenhouse gas emission

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Guest Editor
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Interests: ecological remote sensing; aerosol radiation; land surface numerical model (CLM) and its biogeochemical cycle
Department of Atmospheric and Planetary Sciences, Hampton University, Hampton, VA 23669, USA
Interests: research of carbon fluxes cycling in coastal regions such as Chesapeake Bay using FTIR Solar Absorption Spectrometer and CO2 Raman Lidar; developing a novel Quantum Lidar system for precision and ultrafast wind measurements; atmospheric dynamics and chemistry; air quality including research of sea-land dynamics

Special Issue Information

Dear Colleagues,

Anthropogenic carbon emissions are the main driver of climate change and a key focus of global carbon neutrality efforts. Reliable and spatially resolved emissions data are essential for improving our understanding of the carbon cycle and for supporting monitoring, reporting, and verification (MRV) frameworks. Yet substantial uncertainties remain in current emission inventories, especially at urban and facility scales. These uncertainties arise from limitations in activity data, spatial allocation methods, and independent verification capacity.

In recent years, advances in remote sensing have significantly improved our ability to detect and quantify carbon emissions across different spatial scales. Satellite observations, airborne measurements, and ground-based systems now provide increasingly detailed atmospheric information. Combined with atmospheric transport modeling and inversion techniques, these observations help bridge the gap between bottom-up inventories and top-down atmospheric constraints.

This Special Issue aims to promote methodological and technological progress in remote sensing-based carbon emissions monitoring. It also welcomes studies that contribute to more transparent and scientifically robust MRV approaches. 

Areas of interest include, but are not limited to, the following topics:

  1. Remote sensing technologies for greenhouse gas monitoring across satellite, airborne, lidar, and ground-based platforms;
  2. Multi-source data fusion and cross-platform validation for emissions quantification;
  3. Retrieval algorithms, inversion methods, and atmospheric transport modeling constrained by remote sensing observations;
  4. Development and refinement of carbon emission inventories;
  5. Methodological frameworks supporting emission reporting and verification at facility, urban, and regional scales.

Dr. Zhen Zhang
Dr. Ge Han
Dr. Xiaolu Ling
Dr. Jia Su
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • carbon emission and counting
  • carbon cycle
  • remote sensing
  • greenhouse gas
  • anthropogenic carbon emissions
  • multi-source data fusion

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Published Papers

This special issue is now open for submission.
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