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

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 uns...

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Bibliographic Details
Published in:	International journal of wildland fire Vol. 26; no. 7; pp. 587 - 597
Main Authors:	Connor, Christopher D. O’, Calkin, David E., Thompson, Matthew P.
Format:	Journal Article
Language:	English
Published:	01.01.2017
Subjects:	artificial intelligence data collection fire spread fire suppression fire weather fires fuels (fire ecology) Idaho land management landscapes Nevada planning prediction probability regression analysis topography Idaho Nevada
ISSN:	1049-8001, 1448-5516
Online Access:	Get full text
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