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

dc.contributor.authorAricak B.
dc.contributor.authorKucuk O.
dc.contributor.authorEnez K.
dc.date.accessioned2023-04-12T02:58:16Z
dc.date.available2023-04-12T02:58:16Z
dc.date.issued2014-01-01
dc.description.abstractFighting 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. © 2014 The Authors.
dc.identifier.doi10.1117/1.JRS.8.083598
dc.identifier.scopus2-s2.0-84905728202
dc.identifier.urihttps://hdl.handle.net/20.500.12597/5917
dc.relation.ispartofJournal of Applied Remote Sensing
dc.rightstrue
dc.subjectforest fire management | GeoEye | geographical information system | pumper truck | remote sensing
dc.titleDetermination of pumper truck intervention ratios in zones with high fire potential by using geographical information system
dc.typeArticle
dspace.entity.typeScopus
oaire.citation.issue1
oaire.citation.volume8
person.affiliation.nameKastamonu University
person.affiliation.nameKastamonu University
person.affiliation.nameKastamonu University
person.identifier.scopus-author-id35558031600
person.identifier.scopus-author-id57803711500
person.identifier.scopus-author-id35558413700
relation.isPublicationOfScopus89c03a8c-cf5c-4eea-af38-3077b40965a8
relation.isPublicationOfScopus.latestForDiscovery89c03a8c-cf5c-4eea-af38-3077b40965a8

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