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An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management

Year of Publication
2017
Publication Type

During active fire incidents, decisions regarding where and how to safely and effectively deploy resources to meet management objectives are often made under rapidly evolving conditions, with limited time to assess management strategies or for development of backup plans if initial efforts prove unsuccessful.

Sharing contracted resources for fire suppression: engine dispatch in the Northwestern United States

Year of Publication
2017
Publication Type

As demand for wildfire response resources grows across the globe, a central challenge is developing new and flexible systems and capacity to ensure that resources needed for fire response arrive when and where they are needed. Private contractors have become increasingly important in providing equipment and services to support agency wildfire suppression needs in the USA.

Warming weakens the night-time barrier to global fire

Year of Publication
2022
Publication Type

Night-time provides a critical window for slowing or extinguishing fires owing to the lower temperature and the lower vapour pressure deficit (VPD). However, fire danger is most often assessed based on daytime conditions1,2, capturing what promotes fire spread rather than what impedes fire.