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Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates

C. Klauberg A , A. T. Hudak A E , B. C. Bright A , L. Boschetti B , M. B. Dickinson C , R. L. Kremens D and C. A. Silva B
+ Author Affiliations
- Author Affiliations

A USDA Forest Service Rocky Mountain Station, Forestry Sciences Laboratory, 1221 South Main Street, Moscow, ID 83843, USA.

B University of Idaho, 708 South Deakin Street, Moscow, ID 83844, USA.

C USDA Forest Service, Northern Research Station, 359 Main Road, Delaware, OH 43015, USA.

D Rochester Institute of Technology, Center of Imaging Science, 54 Lomb Memorial Drive, Rochester, NY 14623, USA.

E Corresponding author. Email: ahudak@fs.fed.us

International Journal of Wildland Fire 27(4) 228-240 https://doi.org/10.1071/WF17113
Submitted: 29 July 2017  Accepted: 17 February 2018   Published: 23 April 2018



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