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Special Issue: Machine Learning in Forest Ecosystem Sciences
The journal Forests [IF: 3.282 (ISSN 1999-4907)] is going to publish a Special Issue on “Machine Learning Methods in Forest Ecosystem Sciences”.
In recent years, the development and application of machine learning methods have gained a great deal of attention. This Special Issue aims to provide a selection of contributions about machine learning methods used in the field of forest ecosystem sciences: meteorological modeling; the quantification of carbon, water, and energy cycles climate impact assessments; canopy structure analyses; species distribution models; or assessments of wildfire hazard or pest and disease hazards, to name a few.
You can find detailed information about the Special Issue at the following link: https://www.mdpi.com/journal/forests/special_issues/6T1GT537J1
Accepted papers will be immediately published, without the need to wait for the closure of the entire Special Issue. If the Special Issue has published 10 papers, and a reprint book version may be published after the Special Issue is closed. All published papers in the reprint book will reach a wide audience through our free and unlimited access platform (https://www.mdpi.com/books/search?type_books=bookReprint&selectJournal=forests).
The submission deadline for manuscripts is 10 July 2023.