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Forest fire hazard zoning in Mato Grosso State, Brazil

Author

Listed:
  • Mota, Pedro Henrique Santos
  • Rocha, Samuel José Silva Soares da
  • Castro, Nero Lemos Martins de
  • Marcatti, Gustavo Eduardo
  • França, Luciano Cavalcante de Jesus
  • Schettini, Bruno Leão Said
  • Villanova, Paulo Henrique
  • Santos, Hugo Thaner dos
  • dos Santos, Alexandre Rosa

Abstract

This work aimed to map areas of forest fire risk in the state of Mato Grosso, Brazil. Study area is located in Brazilian Midwest region. Defined risk factors were: land-use, vegetation, slope, terrain orientation, proximity to roads and trails, altitude, precipitation, water deficit, evapotranspiration and temperature. Generated risk map was validated by overlapping it with fire occurrence points. It was observed that the highest risks of forest fires in Mato Grosso State are distributed in central and south / southwest regions. The majority of Mato Grosso area possesses high to extreme fire occurrence risk (55.76%). Adopted methodology was accurate in zoning fire risk in the evaluated area. Forest fire risk zoning provides subsidies for planning preventive and forest firefighting actions in the state. This methodology can be applied to other Brazilian or global regions.

Suggested Citation

  • Mota, Pedro Henrique Santos & Rocha, Samuel José Silva Soares da & Castro, Nero Lemos Martins de & Marcatti, Gustavo Eduardo & França, Luciano Cavalcante de Jesus & Schettini, Bruno Leão Said & Villan, 2019. "Forest fire hazard zoning in Mato Grosso State, Brazil," Land Use Policy, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:lauspo:v:88:y:2019:i:c:s0264837719304624
    DOI: 10.1016/j.landusepol.2019.104206
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    References listed on IDEAS

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    2. Silva, C.A. & Lima, Mendelson, 2018. "Soy Moratorium in Mato Grosso: Deforestation undermines the agreement," Land Use Policy, Elsevier, vol. 71(C), pages 540-542.
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    2. Stosic, Tatijana & Stosic, Borko, 2024. "Generalized weighted permutation entropy analysis of satellite hot-pixel time series in Brazilian biomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).

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