Advanced Methods and Technologies for Forest Wildfire Prevention
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Natural Hazards and Risk Management".
Deadline for manuscript submissions: 26 June 2026 | Viewed by 233
Special Issue Editors
Interests: forest engineering; forest road design; precision forestry; spatial modeling of wildfire risks; GIS and remote sensing applications in natural resource management
Interests: forest management; forest fire prevention and suppression; fire ecology; forest fire risk modeling and mapping; fire regimes; GIS; remote sensing and modeling
Special Issue Information
Dear Colleagues,
Forest wildfires represent one of the most severe threats to ecosystems, biodiversity, human health, and the global climate. Their frequency and intensity have been amplified by climate change, land-use pressures, and increasing human activity in vulnerable areas. Effective prevention remains the cornerstone of wildfire management, requiring innovative tools, interdisciplinary approaches, and adaptive strategies.
This Special Issue brings together recent advances designed to reduce wildfire risk and strengthen preparedness. The contributions emphasize the integration of remote sensing and artificial intelligence for wildfire risk assessment, innovative fuel management practices, and the application of simulation models, unmanned aerial systems, and decision-support platforms to enhance wildfire prevention and response.
By combining technological innovation with ecological perspectives, the works in this Special Issue showcase pathways toward more resilient forest ecosystems. Together, they underline the importance of collaborative science in shaping proactive wildfire prevention techniques capable of addressing the escalating challenges of a changing world.
Potential topics include, but are not limited to, the following:
- Wildfire Prevention Technologies;
- Wildfire Risk Assessment and Mapping;
- Fuel Load and Vegetation Management;
- Satellite and UAV-based Wildfire Detection;
- Fire Behavior Simulation Models;
- Decision-Support Tools for Wildfire Management.
Prof. Dr. Abdullah Emin Akay
Guest Editor
Dr. Coskun Okan Güney
Guest Editor Assistant
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
- wildfire prevention
- wildfire risk
- fuel management
- remote sensing
- artificial intelligence
- decision-support systems
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