Special Issue "New Trends and Remote Sensing Perspectives in Land Use, Land-Use Change and Forestry (LULUCF)"

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

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Přemysl Štych
E-Mail Website
Guest Editor
Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, 128 43 Prague, Czech Republic
Interests: remote sensing; land use/land cover; geoinformatics; geography; GIS; time series
Dr. Ali Nadir Arslan
E-Mail Website
Guest Editor
Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland
Interests: remote sensing methods and applications for cryosphere; electromagnetic theory and modelling
Special Issues and Collections in MDPI journals
Prof. Dr. Katarzyna Dabrowska-Zielinska
E-Mail Website
Guest Editor
Institute of Geodesy and Cartography, Warsaw, Poland
Interests: remote sensing; impact of climate change on environment; energy exchange between surface and atmosphere; remote sensing applications on wetlands
Dr. Simone Rossi
E-Mail Website
Guest Editor
European Commission Joint Research Centre, Brussels, Belgium
Interests: LULUCF GHG inventories; land use/land cover mapping; remote sensing
Dr. John van Aardenne
E-Mail Website
Guest Editor
European Environment Agency (EEA), Kongens Nytorv 6, 1050 København, Denmark
Interests: climate change mitigation and adaptation; GHG inventories; agriculture; forestry and land use (AFOLU); monitoring; reporting and verification (MRV); climate policy

Special Issue Information

Dear Colleagues,

The land use, land-use change, and forestry (LULUCF) sector is increasingly becoming an important contributor to the success of climate policies that aim for carbon neutrality, such as those defined by the Paris Agreement. It is the only in the GHG inventory sector where carbon dioxide can be emitted but also removed from the atmosphere through carbon sequestration. Once all options for mitigation of greenhouse gases have technically and economically been exhausted in other economic sectors, it is the LULUCF sector that can compensate for the remaining greenhouse gas emissions that are being emitted to the atmosphere. This means there is an increasing demand for reliable data on emissions and removals in the LULUCF sector. In addition, there is an increasing demand for using explicit geospatial information in the calculation of LULUCF emissions and removals in national greenhouse gas inventories, such as laid down in the EU LULUCF regulation. The LULUCF regulation as well as progress in remote sensing techniques and methodologies has stimulated the development of monitoring methods and cooperation of many research institutions with stakeholders such as policy makers and national inventory compilers.

Remote sensing is on its way to becoming one of the most relevant data sources for LULUCF monitoring. Remote sensing systems from different platforms serve as an important method and tool for stakeholders and institutions responsible for LULUCF reporting. The open data policy and supporting programs (e.g., Copernicus) have evoked implementation of the increased use of remote sensing in LULUCF. On the other hand, there are still many gaps in the conceptual and harmonized implementation of remote sensing-based methods and data in the LULUCF reporting.

This Special Issue aims to gather relevant research studies that use remote sensing techniques and data in the LULUCF monitoring and application of these data in national greenhouse gas inventories. Authors are invited to submit papers that address new and state-of-the-art remote sensing methods and present novel and new approaches as well as general contributions that present applications that support the improvement and quality control of national-level LULUCF emission inventories. Papers that deal with LULUCF reporting requirements and stakeholder’s needs in relation to international and national implementation frameworks of LULUCF and that check the reliability of such data are especially welcomed. Papers that deal with subnational- or global-level monitoring, reporting, and verification are welcomed as long as upscaling or downscaling methodologies in relation to national LULUCF emission inventories are a significant element of the presented study.

Dr. Přemysl Štych
Dr. Ali Nadir Arslan
Prof. Dr. Katarzyna Dabrowska-Zielinska
Dr. Simone Rossi
Dr. John van Aardenne
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 papers will be 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 2400 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

  • land use, land-use change, and forestry (LULUCF)
  • GHG inventories
  • state-of-the-art LULUCF monitoring and reporting and perspectives
  • remote sensing in LULUCF monitoring and reporting and verification
  • remote sensing-based applications and databases for LULUCF stakeholders
  • national land use/land cover monitoring
  • classification and detection of changing land use/land cover
  • data fusion and combination for LULUCF
  • synergy of remote sensing and modeling techniques of carbon stocks
  • Copernicus program

Published Papers

This special issue is now open for submission.
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