Applications of Remote Sensing in Fire Ecology

Wildfires, particularly extreme events such as mega-fires, have increased dramatically during the last decades, both in terms of frequency and magnitude. Such phenomena represent dangerous natural hazards with transboundary and devastating aftermaths. Understanding wildfire dynamics, including their risks, spatiotemporal propagation, and effects is important for studying its ecological footprint.

Modern remote sensing tecnologies, combined with the recently developed machine learning and AI algorithms, have led to a significant increase in the types of signals and imagery available. Remote sensing technologies, such as terrestrial, airborne and satellite systems using various sensors (e.g. multispectral, lidar, etc.) have already demonstrated great potential for understanding the complex nature and great challenges of fire hazard and produced powerful and cost-effective tools for wildfire management. Furthermore, large amounts of reliable information as well as accurate predictions need to be readily available and systematically analysed to support prevention, preparedness, suppression and post-wildfire restoration efforts.

Therefore, this Special Issue, entitled “Applications of Remote Sensing in Fire Ecology”, is focused on the urgent priority of coordinated and collaborative research effort that is required at the European and global levels in order to provide a powerful means of studying these phenomena, improving fire predictability and mitigating short- and long-term consequences. Examples of applications to be considered range from fuel mapping, fire risk mapping, fire and smoke detection, propagation and burned area estimation to post-fire vegetation recovery monitoring. Articles may address, but are not limited, to the following topics:

- Fire ecology

- Fire risk assessment and mapping

- Fuel mapping

- Forest ecosystem monitoring

- Forest fire prevention

- Fire and smoke detection

- Fire and smoke propagation

- Burned area estimation

Dr. Nikos Grammalidis

Dr. Panagiotis Barmpoutis

Dr. Kosmas Dimitropoulos

Dr. Nikos Grammalidis
Dr. Panagiotis Barmpoutis
Dr. Kosmas Dimitropoulos
Guest Editors

Manuscript Submission Information

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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 2700 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.

• fire ecology
• forest fire prevention
• fire risk assessment and management
• fire/smoke detection sensors and algorithms
• fire/smoke modeling and prediction
• burned area estimation
• post-fire management and restoration