Progress in Estimating, Monitoring, and Modelling Wildfire Fuel Loads Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 287
Special Issue Editors
2. Center for Tropical Environmental and Sustainability Science, James Cook University, Smithfield, QLD 4878, Australia
Interests: remote sensing; bushfire hazard analysis; forest fuel load monitoring; imaging spectroscopy; geocomputation; calibration and validation of satellite imagery; vegetation phenology
Interests: remote sensing; land cover monitoring; impacts armed conflict on landscape change
Interests: natural hazards; remote sensing; dead and live fuel moisture modelling; forest floor modelling
Special Issue Information
Dear Colleagues,
From the Arctic Circle to tropical rainforests, wildfires destroy millions of hectares of forests, grasslands, and bushlands in the northern and southern hemispheres. In Australia alone, more than 30 million hectares were burnt in what is now known as the ‘Black Summer’. Fuel loads are key drivers of fire intensity, spread, and behaviour; therefore, management activities benefit from accurate and timely fuel load estimations for hazard reduction burns, asset management, and for resource allocation during wildfires. In Africa and some countries in South America, fire is commonly used as a method for clearing land, mostly in non-protected areas, for agricultural expansion.
This Special Issue aims at compiling the latest advances in the estimation, monitoring, and modelling of fuel loads in diverse environments. Topics of interest for this Special Issue may include the following:
- The characterization and modelling of fuel biophysical traits and attributes;
- Fuel moisture content (FMC): detection, estimation, and modelling;
- Live/dead fuel estimation and modelling;
- Usage of active and passive remote sensing (e.g., optical, radar, LiDAR) for estimating and modelling fuel loads (live or dead);
- Radiative transfer modelling applied to fuel load estimation and modelling.
We invite contributions from field, laboratory, computational, and remote sensing perspectives that enhance our understanding of fuel loads in diverse ecosystems.
Dr. Nicolas Younes
Dr. Paulo Jose Murillo-Sandoval
Dr. Li Zhao
Dr. Colleen Bryant
Guest Editors
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Keywords
- fuel loads
- bushfires
- wildfires
- fuel flammability
- fuel moisture content (FMC)
- live/dead fuel biochemistry
- hyperspectral imagery
- fire monitoring
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