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Assessment and Monitoring Technologies in Forestry
This special issue belongs to the section “Forest Inventory, Modeling and Remote Sensing“.
Special Issue Information
Dear Colleagues,
Forest ecosystems play a central role in biodiversity conservation, climate regulation, and the provision of renewable resources. In this context, the development and application of innovative assessment and monitoring technologies are essential in sustainable forest management. This Special Issue will showcase methodological innovations, case studies, and theoretical advances in the field of forest assessment and monitoring. We encourage submissions that explore applications ranging from the estimation of dendrometric variables to the large-scale monitoring of forest landscapes, as well as the integration of advanced statistical modeling, artificial intelligence, and geotechnologies. Our goal is to provide a platform to discuss challenges, opportunities, and future directions in forest monitoring, highlighting their relevance to sustainable management and policy development on both a local and global scale.
Potential topics include, but are not limited to, the following:
- Hyperspectral and multispectral remote sensing in forestry;
- UAV-based monitoring of forest stands;
- Machine learning and artificial intelligence in forest measurement;
- Advanced modeling of tree growth, taper, and volume;
- Forest health monitoring (pests, diseases, and stress detection);
- Dendrometry and new measurement technologies;
- Large-scale forest inventory and monitoring systems;
- Integration of GIS and big data into forest management.
Dr. Gileno Brito De Azevedo
Dr. Carlos Antonio Da Silva Junior
Dr. Glauce Tais Souza De Azevedo
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 250 words) can be sent to the Editorial Office for assessment.
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.
Keywords
- forest monitoring
- remote sensing
- hyperspectral data
- machine learning
- forest inventory
- dendrometry
- growth and yield modeling
- sustainable forest management
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