Forest Inventory and Forest Carbon Assessments with Remote Sensing Technologies

Dear Colleagues,

Forests are key resources for preserving life on Earth and, as carbon sinks, they contribute to global carbon neutrality and assist in mitigating climate change effects, simultaneously providing several valuable ecosystem services. However, forests suffer from increased anthropogenic pressure and environmental hazards (e.g., fires, floods, droughts, extreme weather, deforestation, insects, and diseases, among others). Accurately monitoring forest ecosystems is therefore essential to promoting sustainable forest management.

In this context, national forest inventories represent the most comprehensive and accurate surveys for forest monitoring and forest carbon assessment, and remote sensing data collected from different sensor platforms, exploiting machine learning and deep learning techniques along with ground-acquired data, enable analysis of forest ecosystems and forest carbon assessment at different spatial resolutions. The purpose of this Special Issue is to gather research on forest inventorying and forest carbon assessment through the use of remote sensing optical data from multispectral or hyperspectral sensors, along with the structural data that are often provided by radar and LiDAR sensors, and the integration of data from multiple sources.

Dr. Giovanni D'Amico
Dr. Elia Vangi
Dr. Davide Travaglini
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 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. Forests is an international peer-reviewed open access monthly 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 2600 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.

• forest inventory
• forest mapping
• forest carbon assessments
• remote sensing
• biodiversity
• sustainable forest management
• machine learning
• climate change
• satellite
• LiDAR