Abstract
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.
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© 2013 Springer-Verlag Berlin Heidelberg
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Leonard, K., DeSantis, D. (2013). Error Correction for Fire Growth Modeling. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39637-3_18
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DOI: https://doi.org/10.1007/978-3-642-39637-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39636-6
Online ISBN: 978-3-642-39637-3
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