Special Issue "Forest Degradation Monitoring"
Deadline for manuscript submissions: 21 August 2020.
Interests: land-cover change; ecosystem services; spatiotemporal ecological modeling; hydrology; climate change; remote sensing
Interests: spatial economics; climate change; optimization; GIS programming; forest planning
Special Issues and Collections in MDPI journals
Interests: forest monitoring; landscape restoration monitoring; ecosystem services; MRV; REDD+; remote sensing; spatial analytics
Mapping and monitoring forest degradation across the world’s biomes is an exciting field of remote sensing science and technology that aims at providing scientists, policymakers, and stakeholders with the pertinent information to understand the role of degradation in more complex global processes. Monitoring of forest degradation can also help to improve the decision-making process for better managing the world’s forests. Well-established and emerging remote-sensing-based monitoring techniques are contributing to unify, advance, and clarify the terminology around the concept of forest degradation, which is still subject to debate in the scientific arena. This debate focuses heavily on the limitations of remote sensing to adapt to the forest degradation definitions widely adopted in international forums. With the now widespread availability of long-term time series of satellite imagery and historical aerial photography, in conjunction with longstanding field observations and recently-acquired UAV measurements, there is unparalleled potential to develop monitoring applications of forest degradation in the tropics as well as temperate zones.
This is such an exciting moment for forest degradation scientists, and we would like to invite you to submit review articles as well as original articles of your most recent scientific findings covering one or more of the following topics:
- Towards understanding different angles (i.e., some people focus on the economic value of the forest, while others focus on forest structure and species diversity) of forest degradation of the concept of forest degradation;
- What metrics (directly derived from spectral information as well as those related to landscape fragmentation) are available for measuring and monitoring forest degradation, and what remote-sensing platforms are capable of providing one or several of those metrics;
- The advantages of merging coarse, moderate, and fine spatial and temporal resolution imagery to map forest degradation;
- Identification of cost-effective technologies to monitor forest degradation by country;
- Contrasting the advantages and disadvantages of using widely-used long-term sampling platforms such as TimeSync, Collect Earth, etc. compared to more traditional wall-to-wall mapping;
- Regional efforts that are testing the effectiveness of one or more remote-sensing-based forest degradation monitoring techniques that allow training models that can be used in more than one country;
- The feasibility of using machine learning statistical techniques in mapping forest degradation;
- Adaptive spatial monitoring frameworks to measure different degrees of forest degradation;
- The feasibility of the use of artificial intelligence and optimization to recognize physical attributes of degradation in forests;
- The relative effect of forest degradation on ecosystems services’ performance and sustainability;
- Using LIDAR and UAV to map forest degradation based on vegetation’s structural parameters.
Dr. Alexander Hernandez
Dr. Rene Zamora-Cristales
Mr. Abner Jimenez
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.
- Forest degradation
- Remote sensing
- Species diversity
- Landscape fragmentation
- Forest economics
- Machine learning
- Spatial monitoring
- Ecosystem services
- Landscape change
- Forest degradation metrics
- Unmanned aerial vehicles UAV
- Time series
- Forest hydrology