The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect
integrated observations from large wildland fires and provide evaluation datasets for new …

The distribution of fuels is recognised as a key driver of wildland fire behaviour. However,
our understanding of how fuel density heterogeneity affects fire behaviour is limited because …

Airborne Laser Scanners (ALS) and Terrestrial Laser Scanners (TLS) are two lidar systems
frequently used for remote sensing forested ecosystems. The aim of this study was to …

Surface fuel information is an essential input for models of fire behaviour and fire effects.
However, spatially explicit, continuous information on surface fuel loads and fuelbed depth …

The continuity and depth of litter fuelbeds are major drivers of fire spread and fuel
consumption. However, no established approach is available for the spatially explicit …

Prescribed burning is a key management strategy within fire-adapted systems, and
improved monitoring approaches are needed to evaluate its effectiveness in achieving …

In this study, we used data from a thinning trial conducted on 34 different sites and 102
sample plots established in pure and even-aged Pinus radiata and Pinus pinaster stands, to …

Fuel hazard estimates are vital for the prediction of fire behaviour and planning fuel
treatment activities. Previous literature has highlighted the potential of Terrestrial Laser …

The classification and quantification of fuel is traditionally a labour-intensive, costly and often
subjective operation, especially in hazardous vegetation types, such as gorse (Ulex …

Terrestrial LiDAR scans (TLS) offer a rich data source for high-fidelity vegetation
characterization, addressing the limitations of traditional fuel sampling methods by capturing …