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.