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Special Issue "Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019"
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: closed (30 November 2019) | Viewed by 47349
A printed edition of this Special Issue is available here.
Special Issue Editor
2. Geosystems Research Institute, Mississippi State University, Starkville, MS 39762, USA
Interests: digital and precision agriculture; UAV and satellite remote sensing: viticulture; wireless sensor networks; crop modeling; hyperspectral and thermal imagery; machine learning and geostatistics
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: Remote Sensing in Viticulture
Special Issue in Remote Sensing: Digital Agriculture
Special Issue in Forests: Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2020
Special Issue in Remote Sensing: Precision Agriculture Using Hyperspectral Images
Special Issue in Agriculture: Sensors and Remote Sensing in Precision Horticulture
Special Issue in Horticulturae: Strategies to Improve Grapevine Performance and Fruit Quality
Special Issue Information
Unmanned aerial vehicles (UAVs) are new platforms that have been increasingly used in the last few years for forestry applications that benefit from the added value of flexibility, low cost, reliability, autonomy, and capability of timely provision of high-resolution data. The main adopted image-based technologies are RGB, multispectral and thermal infrared. LiDAR sensors are becoming commonly-used to improve the estimation of relevant plant traits. In comparison with other permanent ecosystems, forests are particularly affected by climatic changes due to the longevity of the trees and the primary objective is the conservation and protection of forests. Nevertheless forestry and agriculture involve the cultivation of renewable raw materials the difference is that forestry is less tied to economic aspects and this reflects the delay in using new monitoring technologies. The main forestry application aim to inventory resources, map diseases, species classification, fire monitoring and spatial gaps estimation. This Special Issue focuses on new technologies (UAV and sensors) and innovative data elaboration methodologies (object recognition and machine vision) for applications in forestry.
Dr. Alessandro Matese
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 2000 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.
- UAV platforms
- Object recognition and machine vision
- Estimation of plant traits including 3D measurements
- Integration of UAVs with satellite images
- Forestry applications