IDEAS home Printed from https://ideas.repec.org/a/taf/jenpmg/v63y2020i3p481-499.html
   My bibliography  Save this article

GIS-based forest fire risk mapping using the analytical network process and fuzzy logic

Author

Listed:
  • Hassan Abedi Gheshlaghi
  • Bakhtiar Feizizadeh
  • Thomas Blaschke

Abstract

This research investigates the efficiency of combining the Analytical Network Process (ANP) and fuzzy logic for developing a fire risk map. Major factors influencing the occurrence of forest fires were identified from the literature. The importance of each factor was determined by an ANP ranking procedure, which yielded the criteria weights, while fuzzy logic was employed for assessing the weights of the subcriteria. Then, GIS-based aggregation functions were employed to produce a fire risk map. In order to validate the results, forest fire locations were identified using field data, satellite images, and national reports. This validation revealed a very high accuracy of 0.819 for the fuzzy ANP model. The results will serve as guidelines for researchers and scientists by introducing new and robust MCDA methods. In general, the mentioned Hybrid method can be applied to early warning, fire suppression resources planning, and allocation work in the study area.

Suggested Citation

  • Hassan Abedi Gheshlaghi & Bakhtiar Feizizadeh & Thomas Blaschke, 2020. "GIS-based forest fire risk mapping using the analytical network process and fuzzy logic," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(3), pages 481-499, February.
    • Handle: RePEc:taf:jenpmg:v:63:y:2020:i:3:p:481-499
    DOI: 10.1080/09640568.2019.1594726
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09640568.2019.1594726
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09640568.2019.1594726?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdulwaheed Tella & Abdul-Lateef Balogun, 2020. "Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria," 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. 104(3), pages 2277-2306, December.
    2. Hazem Ghassan Abdo & Hussein Almohamad & Ahmed Abdullah Al Dughairi & Motirh Al-Mutiry, 2022. "GIS-Based Frequency Ratio and Analytic Hierarchy Process for Forest Fire Susceptibility Mapping in the Western Region of Syria," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    3. Ghafar Salavati & Ebrahim Saniei & Ebrahim Ghaderpour & Quazi K. Hassan, 2022. "Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    4. Samereh Pourmoradian & Ali Vandshoari & Davoud Omarzadeh & Ayyoob Sharifi & Naser Sanobuar & Seyyed Samad Hosseini, 2021. "An Integrated Approach to Assess Potential and Sustainability of Handmade Carpet Production in Different Areas of the East Azerbaijan Province of Iran," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    5. Shu Wu, 2021. "RETRACTED: The Temporal-Spatial Distribution and Information-Diffusion-Based Risk Assessment of Forest Fires in China," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    6. Mustafa Topuz & Mehmet Deniz, 2023. "Application of GIS and AHP for land use suitability analysis: case of Demirci district (Turkey)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    7. Silvia Rolandi & Gianluca Brunori & Manlio Bacco & Ivano Scotti, 2021. "The Digitalization of Agriculture and Rural Areas: Towards a Taxonomy of the Impacts," Sustainability, MDPI, vol. 13(9), pages 1-16, May.
    8. Parviz Mohamadzadeh & Samereh Pourmoradian & Bakhtiar Feizizadeh & Ayyoob Sharifi & Mathias Vogdrup-Schmidt, 2020. "A GIS-Based Approach for Spatially-Explicit Sustainable Development Assessments in East Azerbaijan Province, Iran," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    9. Polash Banerjee, 2022. "MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms," 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. 110(2), pages 899-935, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jenpmg:v:63:y:2020:i:3:p:481-499. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJEP20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.