Dear Colleagues,

The large and often remote nature of wildfires has led to the widespread development and use of remote sensing products and image processing methods for assessing their impact. For decades, image processing, data integration, classification trees, mixture modelling, and other geospatial analysis approaches have been applied to assess the magnitude of fuels, fire behavior, area burned, and impacts of wildfires on the environment, broadly defined.

For example, thermal sensor imagery has been widely used to detect hot spots, quantify emissions, and evaluate fire impacts on the environment. Reflective sensor imagery has been widely applied to evaluate the area burned and severity of fires. Active sensors such as light detection and ranging have been applied to evaluate pre-fire fuel loading and resultant changes in aboveground biomass. Atmospheric sounders have been applied to evaluate emissions and magnitudes of smoke plumes. Furthermore, geographic information systems and modelling systems using remote sensing datasets have been widely applied for wildfire management to evaluate wildfire impacts and post-fire treatments.

Given the international attention raised by the recent wildfire seasons in South America, North America, Australia, Europe, and elsewhere, we seek articles that utilize remotely sensed data for fire science applications, including but not limited to:

• Developing, assessing, or validating new algorithms related to active fire detection and characterization or burned area estimation
• Applications of satellite, airborne, or field sensor data to assess fire behavior and fire impacts, including emissions
• Laboratory and field studies on the reflective or thermal properties of fire and post-fire residues
• Fuel consumption and fuel load estimation using remotely sensed observations (e.g., ground, UAV, airborne and spaceborne platforms)
• Fire emissions estimation and air quality monitoring
• Applications of remote sensing imagery in decision support systems related to fire management
• Application of image processing techniques and machine learning to support fire management
• Remote sensing of fires in any ecosystem

Dr. Alistair M. S. Smith
Dr. Luigi Boschetti
Dr. Grant Williamson
Dr. Gareth Roberts
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
• fire monitoring
• fire mapping
• burned area
• emissions
• fire management