Advanced Approaches to Wildfire Detection, Monitoring and Surveillance

Dear Colleagues,

Wildfires are natural phenomena with devastating effects on nature and human properties. Many efforts in fire prevention and protection aim to reduce not only the number of fires, but also the extent of fire damage. It is well-known that early wildfire detection and quick, appropriate interventions are the most important measures for minimizing wildfire damage. Once a wildfire has expanded, it becomes very difficult to control and extinguish. Therefore, over the last couple of decades, there have been many efforts to develop an efficient wildfire monitoring system capable of detecting wildfires at initial stages. The rapid development of artificial neural systems and deep learning methods has shifted research from model-based to data-driven and learning-based approaches, offering a new generation of quite successful methods for the early detection of wildfires.

We are pleased to invite you to submit a paper to the Special Issue of the journal Fire, entitled “Advanced Approaches to Wildfire Detection, Monitoring and Surveillance”. This Special Issue aims to bring together and present recent advanced approaches for wildfire smoke and flame detection, as well as advanced systems for wildfire monitoring and surveillance in various natural environments, from inaccessible forest areas to wildland–urban interfaces (WUIs). After detection, the fire must be continuously monitored. Therefore, potential topics for this Special Issue include remote presence systems at the fire scene, including the application of virtual reality (VR) and augmented reality (AR) techniques, as well as research on post-fire analysis and the assessment of both the burned area and the damage caused by the fire.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Wildfire detection, monitoring and surveillance in inaccessible forest areas;
• Wildfire detection, monitoring and surveillance in wildland–urban interfaces (WUIs);
• Fire detection and monitoring in open-space areas, such as disposal sites, garbage dumps, warehouses, marinas, dry-land marinas, harbors, parking places, etc.;
• Wildfire video-based detection, monitoring and surveillance, including model-based, data-driven and learning-based approaches;
• Wildfire detection and monitoring via satellite and aerial remote sensing systems;
• Wildfire detection validation and testing;
• Preparation and presentation of databases for wildfire detection training, validation and testing;
• Post-fire monitoring of burned areas and their analysis;
• Integration of wildfire video monitoring with other advanced methods such as the Internet of Things (IoT) and/or Crowdsourcing;
• Integration of wildfire monitoring and surveillance with advanced ICT systems, such as GIS technologies, meteorological data visualization, wildfire risk estimation, wildfire spread simulation, virtual reality (vR) and augmented reality (AR).

We look forward to receiving your contributions.

Prof. Dr. Darko Stipanicev
Dr. Giovanni Laneve
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. 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.

• wildfire detection
• fire detection
• smoke detection
• flame detection
• wildfire monitoring
• wildfire surveillance
• remote sensing
• wildfire detection validation and testing
• burned-area monitoring
• burned-area analysis
• wildfire risk estimation
• wildfire spread simulation
• virtual reality (VR)
• augmented reality (AR)