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Found 4 results

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2017

O'Connor CD. An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management Calkin DE, ed. International Journal of Wildland Fire. 2017;26(7).

2015

Price O. An empirical wildfire risk analysis: the probability of a fire spreading to the urban interface in Sydney, Australia Borah R, ed. International Journal of Wildland Fire. 2015;Online early.

2012

Cochrane MA, Moran CJ, Wimberly MC, et al. Estimation of Wildfire Size and Risk Changes Due to Fuels Treatments. International Journal of Wildland Fire. 2012:11. Available at: http://www.fs.fed.us/rm/pubs_other/rmrs_2012_cochrane_m001.pdf.

2011

Reynolds KM, Hessburg PF, Miller RE, Meurisse RT. Evaluating Soil Risks Associated With Severe Wildfire and Ground-Based Logging. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2011:27. Available at: http://www.fs.fed.us/pnw/pubs/pnw_gtr840.pdf.