Special Issue "Applying Laser Scanning in Precision Forestry"
Deadline for manuscript submissions: 31 March 2024 | Viewed by 2689
Interests: precision forestry; remote sensing; LiDAR; UAV; RPAS; terrestrial laser scanner; forest inventory; adaptative forest management; climate change; spatial modelling; ecophysiology; dendrochronology
Interests: remote sensing; UAV; geospatial database; photogrammetry; image analysis; LiDAR; precision forestry; forest inventory; land-cover classification
The sustainable use of forests requires a forest management plan adapted to its characteristics. Any forest management plan requires the quantification of available natural resources. The emergence of new approaches and technologies such as Open Data, Big Data, Artificial Intelligence, Robotics and IOT are boosting a digital transformation of the forestry sector. Among these technologies, Laser Scanning has undergone greater development and implementation in Precision Forestry, often in combination with other Remote Sensing technologies, forest in situ sensors and Big Data analysis, supported by modeling advances. Forest managers demand solutions that integrate these new technologies, supporting decision making in a comprehensive, reliable and user-friendly manner while helping to enhance their efficiency and cost savings. The integration of all the processes that lead to the management of forests represents added value for any customer in need of reliable and up-to-date information.
This Special Issue aims to publish original and innovative research on the application of new technologies and emerging techniques for forest management, and to disseminate their application in a Precision Forestry context.
For this Special Issue, we encourage authors to contribute articles on all applications of Laser Scanners (airborne, UAV-borne, ground-based, etc.) that contribute to precision forest management, including sustainable management of forest stands, management of forest risks such as pests, diseases or fires, improvement forestry operations logistics, new trends in forestry (adaptive, carbon, water), etc. We also welcome articles on other relevant topics, such as sensor calibration, correction procedures, error analysis and control, validation/evaluation of the products obtained and the development of processing algorithms.
Dr. Guillermo Palacios-Rodríguez
Dr. Inmaculada Clavero-Rumbao
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.
- precision forestry
- remote sensing
- terrestrial Laser Scanner
- forest management
- forest inventory
- forest monitoring
- carbon sequestration