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Optimal Number and Location of Watchtowers for Immediate Detection of Forest Fires in a Small Island

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  • Stavros Sakellariou

    (University of Thessaly, Department of Planning and Regional Development, Volos, Greece)

  • Fani Samara

    (University of Thessaly, Department of Planning and Regional Development, Volos, Greece)

  • Stergios Tampekis

    (University of Thessaly, Department of Planning and Regional Development, Volos, Greece)

  • Olga Christopoulou

    (University of Thessaly, Department of Planning and Regional Development, Volos, Greece)

  • Athanassios Sfougaris

    (University of Thessaly, Department of Agriculture Crop Production and Rural Environment, Volos, Greece)

Abstract

A crucial factor for prevention and immediate confrontation of destructive fires and their socioeconomic and environmental consequences constitutes the early detection and spatial localization of fire ignitions, so that the firefighting forces to be activated and act within the critical time of response. Thus, principal objective of the paper constitutes the spatial optimization of the most effective locations of watchtowers developing a constructive network for the immediate and early detection of forest fires. This optimization involves the exploration of the fewest locations for watchtowers with the maximum visible area and reduced degree of overlapping. The results highlighted 4 groups of watchtowers (20 observers in total) determining the optimum locations. The total visibility amounted to 70% of the island, while the visibility percentages per land cover are variable, since they are depended on the spatial structure of them. Definitely, the final selection of the final number and the spatial structure of the watchtowers purely constitute decisions of political nature and will.

Suggested Citation

  • Stavros Sakellariou & Fani Samara & Stergios Tampekis & Olga Christopoulou & Athanassios Sfougaris, 2017. "Optimal Number and Location of Watchtowers for Immediate Detection of Forest Fires in a Small Island," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 8(4), pages 1-19, October.
    • Handle: RePEc:igg:jaeis0:v:8:y:2017:i:4:p:1-19
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