Remote Sensing of Wildland Fires, Emissions, and Impacts

Dear Colleagues,

Biomass burning from wildland fires is one of the major sources of greenhouse gases and aerosols in many regions of the world. Advancements and applications in this domain are critical given the increasing intensity, range, and frequency of these fires in many parts of the world. All facets of fire and emissions monitoring could benefit from further development, including the following: more accurate burned area or active fire detections, biomass and fuel loading, and predictive fire models and fire behavior. Moreover, development of more complete emissions inventories is crucial. The combined use of data sources is encouraged due to the wide availability of coarse-resolution long-term fire information datasets, such as MODIS, VIIRS, Sentinel SLSTR, and AVHRR, as well as moderate-resolution civil sensors such as Landsat 8 and Sentinel-2, and SAR sensors of varying frequencies, such as ALOS-1, ALOS-2, Sentinel-1, TerraSAR-X.

This Special Issue welcomes the submission of original papers including applications, new algorithms, and review papers related to any aspect of fire mapping and monitoring and the associated emissions quantification. Advanced methods such as optical and SAR data fusion and machine-learning-based advancements relating to the remote sensing of wildfires are encouraged.

Some of the specific topics of interest include:

• Active fire mapping and monitoring;
• Burned area mapping;
• Fire emissions modeling;
• Relationship between vegetation phenology and fires;
• Forecasting wildfire risk;
• Fuel-load modeling;
• Aerosol and smoke propagation;
• Modeling and air quality effects from fires.

Dr. Kristofer Lasko
Dr. Krishna Vadrevu
Guest Editors

Manuscript Submission Information

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