Imaging Sensors for Monitoring Forest Dynamics: 2nd Edition
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 69
Special Issue Editors
Interests: forestry information technology and equipment; precise pesticide application technology; phenotypic collection and analysis technology and platform; intelligent forestry machinery
Special Issues, Collections and Topics in MDPI journals
Interests: sensor-based plant phenotyping; optoelectronic sensor development in agriculture; VIS/NIR/MIR Spectroscopy; agricultural remote sensing and image analysis; precision agriculture and spatial statistics
Special Issues, Collections and Topics in MDPI journals
Interests: forestry phenomics; UAV remote sensing; machine learning; tree breeding
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; climate change; physiological ecology; forest monitoring
Interests: forestry; remote sensing; LiDAR; optimal imaging; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Imaging sensors and sensing technologies are used to collect data for the quantitative assessment of complex traits related to forest growth, phenology, performance, and adaptation to biotic or abiotic stress (disease, insects, drought, heat, and salinity). Technologies enabling the monitoring of forests are rapidly advancing, including visible, multispectral, hyperspectral, thermal, and fluorescence imaging sensors, and 3D light detection and ranging (LIDAR). The Special Issue collates research papers, reviews, and perspectives that highlight the potential and limitations of image sensor technology for forest monitoring, as well as discussing current and future applications in forest management and conservation. This Special Issue welcomes research on imaging sensors, image processing algorithms, imaging techniques, and their applications in forests.
Prof. Dr. Huichun Zhang
Prof. Dr. Yufeng Ge
Dr. Yanjie Li
Prof. Dr. Chunyan Wu
Dr. Cong (Vega) Xu
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.
Keywords
- imaging technique
- imaging sensor
- image process system
- forest dynamics
- monitoring
- remote sensing
- precision forestry
- machine learning
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Related Special Issue
- Imaging Sensors for Monitoring Forest Dynamics in Forests (2 articles)
