Literature DB >> 28601959

Visibility analysis of fire lookout towers in the Boyabat State Forest Enterprise in Turkey.

Omer Kucuk1, Ozer Topaloglu2, Arif Oguz Altunel3, Mehmet Cetin4.   

Abstract

For a successful fire suppression, it is essential to detect and intervene forest fires as early as possible. Fire lookout towers are crucial assets in detecting forest fires, in addition to other technological advancements. In this study, we performed a visibility analysis on a network of fire lookout towers currently operating in a relatively fire-prone region in Turkey's Western Black Sea region. Some of these towers had not been functioning properly; it was proposed that these be taken out of the grid and replaced with new ones. The percentage of visible areas under the current network of fire lookout towers was 73%; it could rise to 81% with the addition of newly proposed towers. This study was the first research to conduct a visibility analysis of current and newly proposed fire lookout towers in the Western Black Sea region and focus on its forest fire problem.

Entities:  

Keywords:  Fire lookout tower; Fire management; Forest fires; Geographic information system; Visibility analysis

Mesh:

Year:  2017        PMID: 28601959     DOI: 10.1007/s10661-017-6008-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Spatio-Temporal Analysis of Forest Fire Risk and Danger Using LANDSAT Imagery.

Authors:  Bülent Saglam; Ertugrul Bilgili; Bahar Dincdurmaz; Ali Ihsan Kadiogulari; Ömer Kücük
Journal:  Sensors (Basel)       Date:  2008-06-20       Impact factor: 3.576

2.  Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs).

Authors:  Henry Cruz; Martina Eckert; Juan Meneses; José-Fernán Martínez
Journal:  Sensors (Basel)       Date:  2016-06-16       Impact factor: 3.576

  2 in total
  1 in total

1.  Defining the effects of urban expansion on land use/cover change: a case study in Kastamonu, Turkey.

Authors:  Gökhan Şen; Ersin Güngör; Hakan Şevik
Journal:  Environ Monit Assess       Date:  2018-07-07       Impact factor: 2.513

  1 in total

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