UAV Photogrammetry and Terrestrial Laser Scanning for Precision Forestry
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 346
Editors
Interests: remote sensing application; forest carbon stock; LiDAR and image fusion; photogrammetry
Special Issues, Collections and Topics in MDPI journals
Interests: LiDAR point clouds processing; forestry remote sensing; AI and remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: LiDAR remote sensing in forestry
Special Issues, Collections and Topics in MDPI journals
Interests: UAV-based quantitative remote sensing of vegetation; data pre-processing; structural and biophysical variable retrieval; forestry and ecological applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI), unmanned aerial vehicles (UAVs), and LiDAR technology is revolutionizing precision forestry. Data from aerial and terrestrial platforms are becoming indispensable. Unlike traditional, labor-intensive forestry surveys, these technologies enable efficient, large-scale forest monitoring. By leveraging UAVs and AI, it is now feasible to significantly reduce manpower, enhance efficiency, and achieve sustainable, fine-grained management of extensive forest areas.
This Special Issue aims to collect studies utilizing UAV photogrammetry and terrestrial laser scanning in precision forestry. Topics of interest cover a broad spectrum: from optical images to 3D point clouds, from understory to canopy, from tree-level to stand-level, and from structural analysis to functional inference. We also welcome submissions on multisource data fusion and artificial intelligence for extracting forest parameters.
- Multi-modal andmulti-platform forest data fusion;
- Forest LiDAR point clouds registration;
- Tree species identification;
- Individual tree segmentation;
- Diameter at Breast Height(DBH);
- Quantitative Structure Model(QSM);
- Canopy height;
- Forest volume;
- Forest biomass;
- Forest carbon storage and sink.
Dr. Ningning Zhu
Prof. Dr. Zhenyang Hui
Dr. Wenxia Dai
Dr. Linyuan Li
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-anonymized 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
- precision forest
- UAV
- LiDAR
- multi-platform point clouds registration
- multi-modal forest data fusion
- tree species
- individual tree segmentation
- canopy height
- forest biomass
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