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Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data

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  • Hamed Adab

    (Hakim Sabzevari University)

Abstract

Relatively little is known about the causes of landfire assembly in Golestan Province that are subject to environmental and anthropogenic factors. The present study investigated how the landfire hazard is influenced by the environmental and anthropogenic parameters in the fire-prone Hyrcanian forest. The MODIS hotspot data of the past 15 years were collected and analyzed in Golestan Province. The frequencies and distributions of landfires were investigated with 13 environmental and anthropogenic factors selected to construct landfire hazard maps by BLR and ANN methods. The comparison between MODIS active fire detections collected between 2000 and 2015 of the Golestan Province and landfire hazard areas, as predicted by the BLR and ANN, showed satisfactory results for ANN. The results of this study confirmed that anthropogenic variables were important predictors of landfire hazard and showed nonlinear relationships. Vegetation moisture, climate, and topography were also significant variables in the study area.

Suggested Citation

  • Hamed Adab, 2017. "Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1807-1825, July.
    • Handle: RePEc:spr:nathaz:v:87:y:2017:i:3:d:10.1007_s11069-017-2850-2
    DOI: 10.1007/s11069-017-2850-2
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    References listed on IDEAS

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    1. W. Matt Jolly & Mark A. Cochrane & Patrick H. Freeborn & Zachary A. Holden & Timothy J. Brown & Grant J. Williamson & David M. J. S. Bowman, 2015. "Climate-induced variations in global wildfire danger from 1979 to 2013," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
    2. Hamed Adab & Kasturi Kanniah & Karim Solaimani, 2013. "Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1723-1743, February.
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    Cited by:

    1. Hamed Adab & Kasturi Devi Kanniah & Karim Solaimani, 2021. "Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 253-283, August.
    2. Nikolay Baranovskiy & Aleksey Malinin, 2020. "Mathematical Simulation of Forest Fire Impact on Industrial Facilities and Wood-Based Buildings," Sustainability, MDPI, vol. 12(13), pages 1-24, July.
    3. Ze-Nian Wang & Jun Chen & Wen-Chieh Cheng & Arul Arulrajah & Suksun Horpibulsuk, 2018. "Investigation into the tempo-spatial distribution of recent fire hazards in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1889-1907, July.

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