Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Remote Sensing of Greenhouse Gas Emissions"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: 1 May 2023 | Viewed by 4966
Special Issue Editors
Interests: carbon cycle; remote sensing of greenhouse gases; atmospheric greenhouse gas transport; atmospheric inversion; atmospheric methane; greenhouse gas fluxes
Interests: atmospheric carbon dioxide and methane concentrations and ecosystem fluxes; greenhouse gas modeling
Interests: global carbon cycle; land-climate interactions; terrestrial ecosystem modelling; atmospheric transport modelling; inverse modelling; model-data fusion
Special Issue Information
The remote sensing of atmospheric greenhouse gases (GHGs) and Earth’s surface provides possibilities for quantifying GHG fluxes, as well as their regional and global budgets, trends, spatial distributions, and seasonality. Observations of GHGs and other atmospheric tracers enable the quantification and evaluation of these compounds, originating from both anthropogenic and natural processes, and inform atmospheric chemistry. Remote sensing observations of vegetation activities and hydrological and cryospheric status on land, such as vegetation type, greenness, leaf area, precipitation, inundation, soil moisture, and snow and ice, provide valuable information about ecosystem states. Current developments also reveal emissions due to human activities at high resolutions, identifying point sources. The assimilation of Earth Observation (EO) data into models opens possibilities for novel modelling approaches and avenues for reducing uncertainties in GHG flux estimates.
This Special Issue invites contributions that present remote sensing applications providing means for GHG flux quantifications, including but not limited to GHG sources and sinks inferred from satellites’ GHG and EO data, utilization of those data in process-based land ecosystems modelling and atmospheric inverse modelling, variations in the atmospheric abundance of carbon gases, and the application of multiple tracers from satellite platforms.
Dr. Aki Tsuruta
Dr. Tuula Aalto
Dr. Marko Scholze
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 100 words) can be sent to the Editorial Office for announcement on this website.
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 2500 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.
- Earth’s carbon cycle
- Greenhouse gas flux quantification
- Atmospheric greenhouse gases
- Ecosystem fluxes
- Land–climate interaction
- Earth observations
- Data assimilation
- Atmospheric inversion
- Terrestrial ecosystem modelling