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Development of forest fire risk map using geographical information systems and remote sensing capabilities: Ören case     
Yazarlar
Mehtap Ozenen Kavlak
Saye Nihan Çabuk
Türkiye
Prof. Dr. Mehmet ÇETİN
Kastamonu Üniversitesi, Türkiye
Özet
Forest fires globally cause severe losses in vegetation, soil and habitats and inevitably have direct and indirect negative environmental impacts such as deforestation, climate change and drought. According to the official records, there has been an increase of 58% in the number of the forest fires in Turkey in the last 30 years, between 1988 and 2018. Therefore, it is vital to determine the forest fire risks in the country and develop more effective methodologies to mitigate them. From this point, in the first phase, forest fire risk map of Kütahya-Ören region was prepared via the analyses of a variety of spatial data using geographical information system capabilities. The visibility analysis for the current fire towers was also performed. The results showed that very-high and high-risk, moderate-risk and low-risk zones respectively comprised 36.86%, 60.39% and 2.76% of the total study area, and 82.8% of the region was visible from the towers. In the second phase of the study, remote sensing methods were utilized for the detection of the areas burned in October 2001 in Ören-Çamdibi region, which was officially recorded as 4 hectares. The results revealed that the actual amount of the burned area was 5.6 hectares, and 83% of the burned surfaces was classified as moderate-risk areas in the fire risk map, while 17% of it was that of very-high and high-risk zones.
Anahtar Kelimeler
Forest fire risk map,GIS,NBR,NDVI,Remote sensing,Weighted overlay
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Environmental Science and Pollution Research
Dergi ISSN 0944-1344
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q2
Makale Dili Türkçe
Basım Tarihi 01-2021
Cilt No 28
Sayfalar 33265 / 33291
Doi Numarası 10.1007/s11356-021-13080-9
Makale Linki http://dx.doi.org/10.1007/s11356-021-13080-9