Special Issue "Feature Paper Special Issue on Forest Remote Sensing"
Deadline for manuscript submissions: 31 July 2021.
Interests: LiDAR; remote sensing; computer vision; machine learning; forestry; UAV
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: 3D Point Clouds in Forests
(2) Forest Research Centre, School of Agriculture, University of Lisbon, Instituto Superior de Agronomia (ISA), Tapada da Ajuda, 1349-017 Lisboa, Portugal
Interests: LiDAR; Remote Sensing; Forest inventory; modeling; Forestry; UAV
Forest remote sensing provides important knowledge to better understand forests and the problems to preserve them as ecosystems, carbon sink, and renewable energy resources. High-resolution and low-cost remote sensing data are increasingly available to measure three-dimensional (3D) canopy structure and to model forest structural attributes.
In this feature paper Special issue, we intend to provide an unique collection of original research work in the field of forest remote sensing that addresses new approaches using remote sensing data at a global, national, regional, and local scale. In particular, we encourage invited scientists to demonstrate the enormous possibilities of advanced methods and technologies for applications in forest resource management. Topics may cover a broad range of new statistical methods and recent instrument developments to gain accurate information on the status and distribution of forest structures over various time scales. Manuscripts will be accepted by the editorial office and editorial board members by invitation only.
Topics may include but are not limited to the following:
- Monitoring of climate change mitigation in forests;
- Monitoring of forest health and forest degradation;
- Biodiversity of forests;
- Ecosystem service monitoring;
- Advanced forest inventory;
- New sensors and platforms for forest applications;
- Machine learning and deep learning approaches for estimating forest structure attributes;
- Advanced statistical methods (model-based inference and uncertainty assessment);
- Multisensor, multitemporal, multiresolution data;
- Integration and data fusion approaches using multiple remote sensing data (LiDAR, optical, SAR, hyperspectral, multispectral) sources to forest monitoring;
- Large-scale forest monitoring using LiDAR data with synergies among platforms (airborne, terrestrial, and spaceborne (specially GEDI and ICESat-2 missions) for forest inventory and monitoring.
- All submissions will be rigorously reviewed according to the Remote Sensing journal guidelines.
- Manuscripts that are not suitable for this Special Issue will be notified as soon as after consultation with the editorial board members. Authors of these manuscripts may still consider submitting in the forest remote sensing section or any other section of Remote Sensing as a regular paper. Other manuscripts will be forwarded for review.
- Manuscripts that are not selected as feature papers will be notified after the first round of reviews. The selection will be based on the review. Authors of those manuscripts that are not selected for the Special Issue may decide to revise and submit as a regular paper in the forest remote sensing section of the Remote Sensing journal. Please note that authors of these manuscripts need to shoulder the publication fees.
- Other manuscripts will be sent for a second round of reviews. However, this does not necessarily mean that a manuscript under the second round of reviews will be published as a feature paper. We will still seek comments and suggestions from reviewers.
Please contact Traey Wu ([email protected]), the section managing editor, if you have any questions.
Prof. Dr. Peter Krzystek
Dr. Juan Guerra Hernandez
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 papers will be 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 2200 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.