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Advanced Fire Detection and Monitoring Technologies for Early Warning and Safety
Special Issue Information
Dear Colleagues,
This Special Issue, “Advanced Fire Detection and Monitoring Technologies for Early Warning and Safety”, aims to showcase cutting-edge research and technological advancements that enhance wildfire and structural fire detection, rapid response, and public safety. As fire regimes evolve and global risk increases, there is a critical need for new multi-sensor, AI-driven, and networked platforms—ranging from satellite- and drone-based detection, ground sensor arrays, data fusion and predictive analytics—that can deliver earlier and more actionable warnings. We invite original research, reviews, and case studies on improved algorithms for smoke and heat detection, automated alert systems, machine learning models for fire forecasting, integration of remote sensing with field networks, and end-user decision support. In particular, we highlight approaches demonstrating real-world transferability, interoperability, and scalability to support communities, first responders, and land managers. Contributions should address challenges such as false alarms, uncertainty quantification, and equitable access to early warnings. Collectively, this Special Issue seeks to advance the science of proactive fire risk mitigation and foster safer, more resilient landscapes and communities in a rapidly evolving fire environment.
Dr. Nicholas LaHaye
Dr. Olga Kalashnikova
Dr. Huikyo Lee
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.
Keywords
- AI-driven fire detection
- multi-sensor data fusion
- early warning systems
- remote sensing and monitoring
- onboard autonomy
- resilient fire management
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