GIS-BASED MULTI-CRITERIA DECISION ANALYSIS FOR FOREST FIRE RISK MAPPING

Basit Öğe Kaydı
dc.authorid0000-0001-6558-9029en_US
dc.contributor.authorAkay, Abdullah Emin
dc.contributor.authorErdoğan, Abdullah
dc.date.accessioned2021-03-20T20:14:17Z
dc.date.available2021-03-20T20:14:17Z
dc.date.issued2017
dc.departmentBTÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description4th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEYen_US
dc.descriptionAkay, Abdullah Emin/0000-0001-6558-9029en_US
dc.description.abstractThe forested areas along the coastal zone of the Mediterranean region in Turkey are classified as first-degree fire sensitive areas. Forest fires are major environmental disaster that affects the sustainability of forest ecosystems. Besides, forest fires result in important economic losses and even threaten human lives. Thus, it is critical to determine the forested areas with fire risks and thereby minimize the damages on forest resources by taking necessary precaution measures in these areas. The risk of forest fire can be assessed based on various factors such as forest vegetation structures (tree species, crown closure, tree stage), topographic features (slope and aspect), and climatic parameters (temperature, wind). In this study, GIS-based Multi-Criteria Decision Analysis (MCDA) method was used to generate forest fire risk map. The study was implemented in the forested areas within Yayla Forest Enterprise Chiefs at Dursunbey Forest Enterprise Directorate which is classified as first degree fire sensitive area. In the solution process, "extAhp 2.0" plug-in miming Analytic Hierarchy Process (AHP) method in ArcGIS 10.4.1 was used to categorize study area under five fire risk classes: extreme risk, high risk, moderate risk, and low risk,. The results indicated that 23.81% of the area was of extreme risk, while 25.81% was of high risk. The result indicated that the most effective criterion was tree species, followed by tree stages. The aspect had the least effective criterion on forest fire risk. It was revealed that GIS techniques integrated with MCDA methods are effective tools to quickly estimate forest fire risk at low cost. The integration of these factors into GIS can be very useful to determine forested areas with high fire risk and also to plan forestry management after fire.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprs-annals-IV-4-W4-25-2017en_US
dc.identifier.endpage30en_US
dc.identifier.issn2194-9042
dc.identifier.issn2194-9050
dc.identifier.issueW4en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage25en_US
dc.identifier.urihttp://doi.org/10.5194/isprs-annals-IV-4-W4-25-2017
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1029
dc.identifier.volume4-4en_US
dc.identifier.wosWOS:000568997100005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkay, Abdullah Emin
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartof4Th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modelingen_US
dc.relation.ispartofseriesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectForest fire risken_US
dc.subjectMulti-criteria decisionen_US
dc.subjectGISen_US
dc.subjectAHPen_US
dc.titleGIS-BASED MULTI-CRITERIA DECISION ANALYSIS FOR FOREST FIRE RISK MAPPINGen_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
194190197.pdf
Boyut:
1.34 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Orman Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu