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16 June 2014 Determination of pumper truck intervention ratios in zones with high fire potential by using geographical information system
Burak Aricak, Omer Kucuk, Korhan Enez
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Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083598 (June 2014). https://doi.org/10.1117/1.JRS.8.083598
Abstract
Fighting forest fires not only depends on the forest type, topography, and weather conditions, but is also closely related to the technical properties of fire-fighting equipment. Firefighting is an important part of fire management planning. However, because of the complex nature of forests, creating thematic layers to generate potential fire risk maps is difficult. The use of remote sensing data has become an efficient method for the discrete classification of potential fire risks. The study was located in the Central District of the Kastamonu Regional Forest Directorate, covering an area of 24,320 ha, 15,685 ha of which is forested. On the basis of stand age, crown closure, and tree species, the sizes and distributions of potential fire risk zones within the study area were determined using high-resolution GeoEye satellite imagery and geographical information system data. The status of pumper truck intervention in zones with high fire risk and the sufficiency of existing forest roads within an existing forest network were discussed based on combustible matter characteristics. Pumper truck intervention was 83% for high-risk zones, 79% for medium-risk zones, and 78% for low-risk zones. A pumper truck intervention area map along existing roads was also created.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Burak Aricak, Omer Kucuk, and Korhan Enez "Determination of pumper truck intervention ratios in zones with high fire potential by using geographical information system," Journal of Applied Remote Sensing 8(1), 083598 (16 June 2014). https://doi.org/10.1117/1.JRS.8.083598
Published: 16 June 2014
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Cited by 8 scholarly publications.
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KEYWORDS
Roads
Geographic information systems
Satellites
Earth observing sensors
Satellite imaging
Remote sensing
Databases
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