Geospatial Data in Wildfire Management
A special issue of Fire (ISSN 2571-6255).
Deadline for manuscript submissions: 15 April 2024 | Viewed by 6984
Interests: artificial intelligence; forest fire prevention
Interests: precision agriculture; drone and robotics; remote sensing; machine learning; crop modeling; plant phenotyping
Interests: forest fire prevention; computer neural networks
Special Issues, Collections and Topics in MDPI journals
Interests: strategic planning evaluation; system simulation
We are honored to invite you to submit your research in this Special Issue. The forest is an important part of the earth's ecosystem, and protecting the forest is everyone's responsibility. Once a forest fire occurs, most of the time, we can only wait for it to end naturally, which can cause serious damage to forests and the ecological environment. Thus, research on forest fires acts as an important basis for protecting forest grassland resources and promoting the sustainable development of forestry. This Special Issue focuses on forest fire management, particularly at the level of monitoring and prevention. Research results cover both laboratory events and regional wildfire events, and papers from other related disciplines are also welcome.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Through computer, UAV equipment, aircraft, and satellite sensors, the remote sensing of forest fires is used for algorithm development and monitoring;
- Behavioral science, decision support tools, and risk analysis are related to fire management policies and operational event management;
- Fire dynamic modeling (including fire site modeling and fire fighting measures);
- Fire risk assessment and quantification (including risk acceptability);
- The impact of fire on the development of forest ecosystem and even society (short-term, long-term, etc.).
We look forward to receiving your contributions.
Dr. Guoxiong Zhou
Dr. Liujun Li
Dr. Weiwei Cai
Dr. Yanfeng Wang
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. Fire 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 2400 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 fire smoke detection
- fire simulation
- sustainable development
- forest fire risk prevention