Determination of pumper truck intervention ratios in zones with high fire potential by using geographical information system

Abstract

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. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Spatiotemporal changes of land use patterns in high mountain areas of Northeast Turkey: a case study in Maçka

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Forest fire occurrence modeling in Southwest Turkey using MaxEnt machine learning technique

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Assessing Potential Areas of Ecotourism through a Case Study in Ilgaz Mountain National Park

“…Nature conservation and landscape ecology are carried out via practical applications in different areas, which require interdisciplinary study. Using GIS provides support for these applications and helps researchers solve their problems and achieve their goals [9,13,14,19,[24][25][26].…”

“…In conjunction with this data, GIS users can employ geometric and nongeometric data to help them determine the spatial relationship of complex and logical content. This feature is important for the transformation of an objective and measurable level of complex structures and spatial relationships in phenomenal form located in ecological studies [9,13,14,19,[24][25][26][27][28].…”