Forest Characterization Assisted by Remote Sensing Technologies
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: 18 August 2024 | Viewed by 323
Special Issue Editors
Interests: forest remote sensing; mensuration and optimization; data science
Interests: LiDAR; remote sensing; forest inventory; modeling; forestry; UAV
Special Issues, Collections and Topics in MDPI journals
Interests: forest ecology and monitoring; restoration ecology; landscape management; remote sensing
Special Issue Information
Dear Colleagues,
Forest characterization using remote sensing technologies is a growing trend. The most used in forestry are digital photogrammetry, light detection and ranging (lidar), and synthetic aperture radar (SAR). While airborne and spaceborne systems allow for cost-effective data collection, terrestrial systems are useful for collecting accurate reference data. Photogrammetry, lidar, and SAR can be used to provide two- and three-dimensional (2D and 3D) data and accurately estimate biophysical attributes. Remote sensing is therefore the cutting-edge tool in forest assessments and monitoring.
As technologies advance quickly, researchers are compelled to constantly develop new methodologies to better use remote sensing tools. This Special Issue aims to be a collection of novel solutions to enhance forest assessments using remote sensing. We seek papers that would impact the scientific community greatly, bringing consistent methodologies and robust forest datasets to support findings. Novel benchmarks to characterize the uncertainty in Forest Remote Sensing Studies and systematic reviews are also welcome in this issue.
Research may include (but is not limited to) the following topics:
- Remote sensing data fusion to enhance forest attribute prediction and classification;
- Hyperspectral imagery for tree forest and landscape management and modeling;
- Unmanned aerial vehicles (UAV) for forest assessments;
- Remote sensing solutions for forest restoration and ecology;
- Remote sensing solutions for forest fires assessment and prevention;
- Terrestrial lidar applications in complex forest environments;
- Synthetic aperture radar (SAR) applications in forestry;
- Forest inventory assisted by remote sensing; advanced statistical methods (model-based inference and uncertainty assessment);
- Forest biometry using photogrammetry and lidar point clouds;
- Remote sensing for threatened forest environment assessments;
- Forest disease and plague detection using remote sensing data;
- Spaceborne lidar applications to forest assessments;
- Country-wide and global forest assessments;
- Remote sensing strategies to enhance forest management;
- Wood technology assessments aided by remote sensing.
Dr. Diogo Nepomuceno Cosenza
Dr. Juan Guerra Hernandez
Dr. Bruna Paolinelli Reis
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
- forest mensuration
- forest monitoring
- forest inventory
- laser scanner
- radar
- photogrammetry
- uncertainty
- digital forests
