Land (ISSN: 2073-445X) is an international and cross-disciplinary, peer-reviewed, open access journal of land system science, landscape, soil–sediment–water systems, urban study, land–climate interactions, water–energy–land–food (WELF) nexus, biodiversity research and health nexus, land modeling and data processing, ecosystem services, multifunctionality and sustainability, etc., published monthly online by MDPI. It is the only open access journal covering all aspects of land science, indexed within Scopus, SSCI (Web of Science), AGRICOLA, AGRIS, GeoRef, RePEc, and many other databases. Land has received an increased CiteScore (2020 Scopus data) of 3.0, and its 2020 Impact Factor is 3.398.
Land’s new Section “Land Innovations—Data and Machine Learning” (https://www.mdpi.com/journal/land/sections/land_innovations_data_machine_learning) is now recruiting Editorial Board Members.
The main responsibilities of the Section Editorial Board Members are as follows:
- Pre-screening and making decisions on new submissions related to the journal Section;
- Helping to edit a Special Issue on a topic related to the Section (or supervising Special Issues related to your research field);
- Providing input or feedback regarding journal policies;
- Helping to promote the journal among peers or at conferences;
- Attending Board Meetings to suggest journal development strategies;
- Reviewing manuscripts.
This position is open to experts in all aspects of data science related to land. To apply for this position, recommend potential candidates, or request further information, please contact the Land Editorial Office (land@mdpi.com) or Vivi Wang (vivi.wang@mdpi.com).
