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Correction to: Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination

Author

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  • Hamid Reza Pourghasemi

    (Shiraz University)

  • Soheila Pouyan

    (Shiraz University)

  • Mojgan Bordbar

    (Islamic Azad University
    University of Campania “Luigi Vanvitelli”)

  • Foroogh Golkar

    (Shiraz University)

  • John J. Clague

    (Simon Fraser University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Hamid Reza Pourghasemi & Soheila Pouyan & Mojgan Bordbar & Foroogh Golkar & John J. Clague, 2023. "Correction to: Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination," 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. 118(1), pages 871-874, August.
    • Handle: RePEc:spr:nathaz:v:118:y:2023:i:1:d:10.1007_s11069-023-06072-0
    DOI: 10.1007/s11069-023-06072-0
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    Citations

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    Cited by:

    1. Fathima Nuzla Ismail & Brendon J. Woodford & Sherlock A. Licorish & Aubrey D. Miller, 2024. "An assessment of existing wildfire danger indices in comparison to one-class machine learning models," 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. 120(15), pages 14837-14868, December.
    2. Mojgan Bordbar & Gianluigi Busico & Stefania Stevenazzi & Micòl Mastrocicco, 2025. "How do hydrogeological and socio-economic parameters influence the likelihood of NO3− pollution and Cl− salinization? An application within the campania region (Italy)," 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. 121(11), pages 12887-12907, June.
    3. Miqueias Lima Duarte & Tatiana Acácio Silva & Jocy Ana Paixão Sousa & Amazonino Lemos Castro & Roberto Wagner Lourenço, 2025. "Application of a hybrid fuzzy inference system to map the susceptibility to fires," 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. 121(1), pages 1117-1141, January.
    4. Fanfan Huang & Dan Zhu & Yichen Zhang & Jiquan Zhang & Ning Wang & Zhennan Dong, 2024. "Urban Flooding Disaster Risk Assessment Utilizing the MaxEnt Model and Game Theory: A Case Study of Changchun, China," Sustainability, MDPI, vol. 16(19), pages 1-23, October.
    5. Chuanrong Zhang & Xinba Li, 2025. "AI-Enhanced Remote Sensing of Land Transformations for Climate-Related Financial Risk Assessment in Housing Markets: A Review," Land, MDPI, vol. 14(8), pages 1-39, August.
    6. Katharina Hecht & Abraham Ortega Reboso & Michelle van der Vegt & Jaco Appelman & Maibritt Pedersen Zari, 2024. "Ecologically Regenerative Building Systems through Exergy Efficiency: Designing for Structural Order and Ecosystem Services," Land, MDPI, vol. 13(9), pages 1-18, August.
    7. Rufai Yusuf Zakari & Owais Ahmed Malik & Ong Wee-Hong, 2025. "Machine learning-driven wildfire susceptibility mapping in New South Wales, Australia using remote sensing and explainable artificial intelligence," 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. 121(13), pages 15331-15357, July.
    8. Weiting Yue & Yunji Gao & Yao Xiao & Ziqun Ye & Qian Zhao & Yuchun Zhang, 2025. "Study on the temporal pattern and county-scale comprehensive risk assessment of wildfires in Sichuan Province," 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. 121(13), pages 15201-15238, July.

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