UAV Applications for Forest Management: Wood Volume, Biomass, and Mapping (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 9
Special Issue Editors
Interests: UAV; forest management; remote sensing; urban forest
Special Issues, Collections and Topics in MDPI journals
Interests: GIS; land use change; lidar; urban forestry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forest ecosystems are critical in global carbon sequestration, biodiversity conservation, and sustainable resource management. The accurate and efficient monitoring of forest parameters, such as wood volume, biomass, and spatial distribution, is essential for ecological studies, climate change mitigation, and sustainable forestry management. While reliable, traditional field-based forest inventory methods are often time-consuming, labour-intensive, and limited in scalability, particularly in remote or inaccessible areas.
This Special Issue seeks to gather innovative applications of UAVs (unmanned aerial vehicles) in forest-related research. Contributions may focus on forest inventory and management, as well as studies involving forest canopy height measurement, attribute assessment, biomass estimation, disease detection, forest and biodiversity mapping, canopy gap analysis, and wildfire monitoring among other relevant topics
This Special Issue aims to showcase cutting-edge research on UAV-based approaches for forest assessment, emphasizing innovations in remote sensing techniques, machine learning applications, and data integration methods to enhance the accuracy and efficiency of forest resource management. Contributions may include, but are not limited to, the following:
- Wood volume and biomass estimation using UAV-derived data;
- High-resolution forest mapping for biodiversity and conservation;
- AI and deep learning for automated tree detection and health assessment;
- Multi-sensor fusion (LiDAR, hyperspectral, thermal) for improved forest analytics;
- UAV applications in wildfire risk assessment and post-fire recovery.
Dr. Mauro Maesano
Dr. Federico Valerio Moresi
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. 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 2700 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
- UAV
- drone
- remote sensing
- forest management
- forest inventory
- precision forestry
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