International Journal of Wildland Fire
Volume 30
Number 5 2021
We analysed fire incident report data to model wildfire occurrence probability across the Northeast region of the USA, in order to better understand how patterns and drivers of small fires (0.1–4 ha) differ from larger fires. Hazard from small fires is greater near low-density urban development.
The average interval between forest fires is expected to markedly shorten in mountain ash forests of Victoria, Australia, by 2070. Simple models of the likelihood of fire intervals required for trees to mature, grow sawlogs, and develop hollows for habitat are presented for the recent past and the future.
It is difficult to detect forest fire in a complex background owing to the many interfering factors in forest fire smoke. A novel method that combines Time Domain Robust Principal Component Analysis (TRPCA) and a Two-Stream Composed of VGG and BLSTM (TSVB) model is proposed for forest fire smoke detection.
Wildland fire managers in the US use the Rothermel fire spread model to determine fire danger in areas they oversee. This study suggests improvements to the model that provide more information about how different types of dead and live vegetation contribute differently to the total heat energy released from a fire.
This study used SIF to estimate post-fire vegetation recovery in boreal forest and compared the results with that of the MODIS EVI and field photos. The results showed that SIF is more appropriate than vegetation indices in monitoring post-fire vegetation recovery.
This paper presents a laboratory study of peat fire suppression. The volume of fluid that contributes to the suppression of peat in our experiments is fairly constant at 5.7 ± 2.1 L kg−1 peat, despite changes in flow rate and suppressant concentration.
We show how a method that measures the amount of reflected light from tree bark charcoals may help ecologists understand how much heat tree trunks are exposed to during forest fires. The aim is to develop this approach to estimate tree mortality following wildfires.
, Megan E. Sebasky, Matthew P. Peters and Volker C. Radeloff
