Ignition Probability Modeling

Ignition Probability Modeling is a computational method that quantifies the spatial and temporal likelihood of wildfire ignition by integrating environmental, anthropogenic, and historical ignition data within a probabilistic framework.

108

Publications

6.3K

Citations

369

Authors

176

Institutions

Publications per year

2017–2026

42

Authors

369

  1. EM
    Epaminondas Mastorakos

    University of Cambridge, United Kingdom

    4 publications · 232 citations

    4

    h-index

  2. MR
    Marcos Rodrígues

    Universidad de Zaragoza, Spain

    3 publications · 96 citations

    4

    h-index

  3. MP
    Marc‐André Parisien

    Canadian Forest Service, Canada

    3 publications · 296 citations

    3

    h-index

  4. DL
    David L. Martell

    University of Toronto, Canada

    3 publications · 408 citations

    3

    h-index

  5. YH
    Y. Horie

    Eglin Air Force Base, United States

    3 publications · 159 citations

    3

    h-index

1–5 of 369

Venues

  1. International Journal of Wildland Fire

    14 publications · 1.3K citations

    14

    h-index

  2. Canadian Journal of Forest Research

    5 publications · 548 citations

    5

    h-index

  3. Natural hazards and earth system sciences

    4 publications · 141 citations

    4

    h-index

  4. Proceedings of the Combustion Institute

    4 publications · 234 citations

    4

    h-index

  5. Forests

    3 publications · 118 citations

    4

    h-index

1–5