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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
International Journal of Wildland Fire

International Journal of Wildland Fire

Volume 28 Number 11 2019

WF19001Improving silvicultural practices for Mediterranean forests through fire behaviour modelling using LiDAR-derived canopy fuel characteristics

Brigite Botequim, Paulo M. Fernandes, José G. Borges, Eduardo González-Ferreiro and Juan Guerra-Hernández
pp. 823-839

We evaluated the use of very-low-density airborne LiDAR data to assess potential fire behaviour in a Mediterranean forest. Our goal was to deliver a simple and manager-oriented approach to target high-hazard stands for silvicultural interventions based on readily available metrics without having to turn to advanced simulation modelling.

WF19008Integrated fire severity–land cover mapping using very-high-spatial-resolution aerial imagery and point clouds

Jeremy Arkin 0000-0003-3373-5233, Nicholas C. Coops 0000-0002-0151-9037, Txomin Hermosilla 0000-0002-5445-0360, Lori D. Daniels and Andrew Plowright
pp. 840-860

This study used unmanned aerial vehicles to produce disturbance-based land cover maps at 5- and 1-m resolutions with high overall accuracies (5 m, 89.5 ± 1.4%; 1 m, 85.4 ± 1.5%). The reduction in accuracy at the 1-m resolution was outweighed by the inclusion of four additional classes, which increased the thematic detail.

WF19023Machine learning to predict final fire size at the time of ignition

Shane R. Coffield 0000-0002-0550-5126, Casey A. Graff 0000-0002-2284-7363, Yang Chen 0000-0002-0993-7081, Padhraic Smyth, Efi Foufoula-Georgiou 0000-0003-1078-231X and James T. Randerson 0000-0001-6559-7387
pp. 861-873

We used machine learning to classify ignition events as leading to small, medium or large fires. Using only two variables, we show that fires can be classified into three size groups with 50% accuracy. This simple framework for fire size prediction may be useful for fire management given limited resources.

WF18189Impacts of wildland fire effects on resources and assets through expert elicitation to support fire response decisions

Colin B. McFayden, Den Boychuk, Douglas G. Woolford, Melanie J. Wheatley and Lynn Johnston
pp. 885-900

Planning for and responding to wildland fires require assessment of the potential impacts, which is generally difficult to do. An easily implemented expert elicitation approach for quantifying the potential impacts on resources and assets was developed, applied and validated.

WF18201Understanding homeowners' decisions to mitigate wildfire risk and create defensible space

Angelo M. Sisante, Michael H. Taylor 0000-0002-6676-7859 and Kimberly S. Rollins
pp. 901-911

This article uses a unique dataset from 35 wildland–urban interface communities in Nevada to analyse how a homeowner’s decision to undertake a generic fire-safe investment is different than their decision to perform the suite of fire-safe investments necessary to create adequate defensible space on their property.

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IJWF Content Free to IAWF Members

All non-OA journal content published prior to 2024 can be accessed by IAWF members through the IAWF Members-Only site.

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