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Published in:
2013 | OriginalPaper | Chapter
Error Correction for Fire Growth Modeling
Authors : Kathryn Leonard, Derek DeSantis
Published in: Computational Science and Its Applications – ICCSA 2013
Publisher: Springer Berlin Heidelberg
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We construct predictions of fire boundary growth using level set methods. We generate a correction for predictions at the subsequent time step based on current error. The current error is captured by a thin-plate spline deformation from the initial predicted boundary to the observed boundary, which is then applied to the initial prediction at the subsequent time step. We apply these methods to data from the 1996 Bee Fire and 2002 Troy Fire. We also compare our results to earlier predictions for the Bee Fire using the FARSITE method. Error is measured using the Hausdorff distance. We determine conditions under which error correction improves prediction performance.