Special Issue "Terrestrial Laser Scanning of Forest Structure"
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 11192
Interests: forest structure; terrestrial laser scanning; spatial patterning; plant growth; agroforestry
Interests: computer graphics; LiDAR data; forestry
Special Issues, Collections and Topics in MDPI journals
Special Issue in Forests: Deep Learning Techniques for Forest Parameter Retrieval and Accurate Tree Modeling from Remote Sensing Data
Topics: Remote Sensing and Visualization Methods: Monitoring, Modeling, Simulations and Interaction of Forest Resource
Terrestrial laser scanning (TLS) has the potential to revolutionise forest surveying. By allowing forests to be described in three dimensions, and at high resolution, it opens up the possibility for increasing both the accuracy of existing measurements and developing novel insights. While the foundations of this work have been laid through proof-of-concept studies, we are now in a position to make transformative advances.
Nevertheless, there remain a number of challenges. These include practical issues such as evaluating new and upgraded platforms for data collection, with many new devices in development; designing and assessing survey protocols; comparing TLS with traditional approaches; and integrating TLS data with complementary methods. Once scans have been collected, a new set of problems emerge, particularly in how to convert point cloud data into robust and replicable metrics of forest structure. Finally, while proof-of-principle work is still necessary, there have to date been relatively few direct applications of TLS to applied problems.
In this issue, we welcome all studies which deploy TLS approaches in forest ecosystems, whether natural or designed. We intend to cover all aspects from field methods, data processing, statistical analyses, and applications. The issue will therefore be a comprehensive account of the state of the field, along with providing inspiration and direction to this rapidly advancing area of research.
Specific topics include, but are not limited to:
- Demonstration of methodologies for field data collection
- Evaluation of novel TLS technologies (static or mobile)
- Comparison between TLS and other survey approaches
- Integration of airborne and terrestrial laser scanning
- Software approaches to data visualisation
- Extraction of forest physical parameters from point clouds
- Statistical approaches to inference from point clouds
- Applications of TLS data in forestry, forest ecology or conservation
- Calibration and validation of forest growth models using TLS data
Dr. Markus Eichhorn
Dr. Ting Yun
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 2500 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.
- point clouds
- terrestrial laser scanning
- computer graphics
- forest mensuration
- forest structure
- forest ecology