Musaoğlu N. , Yanalak M. , Gungoroglu C., Özcan O.

FOREST FIRES, vol.33, pp.165-199, 2021 (Journal Indexed in SCI) identifier

  • Publication Type: Article / Article
  • Volume: 33
  • Publication Date: 2021
  • Doi Number: 10.53478/tuba.2021.046
  • Title of Journal : FOREST FIRES
  • Page Numbers: pp.165-199
  • Keywords: Remote sensing, Forest fire, Risk analysis, Geographic information system (GIS), Fuzzy Analytic Hierarchy Process (FAHP), MULTICRITERIA EVALUATION, RISK, SEVERITY, LANDSAT, RECOVERY, MODEL, AHP


In 2021, the forest fires in the Mediterranean Region led to substantial loss of life and property. In our country, average annual forest area of 10350 ha was affected by fire between years 1997-2018. The fires that occurred particularly close to the residential regions damage residential areas, ecosystem and cause civilian injuries and deaths. Generation of accurate information and keeping information up-to-date in being prepared for the forest fires is only possible with up-to-date information technologies. Fast and accurate data flow and simultaneous analysis of this data is crucial in determining the fire vulnerability, conducting risk analyses and keeping them up-to-date, as well. Herein, remote sensing images are important data source. The geographic information systems, which enable the analysis of all information together, are indispensible in taking precautions and process management. In this study, firstly remote sensing was referred in forest fire studies and then the results of the risk analysis that was conducted in Cakirlar-Antalya with geographic information system (GIS) and Fuzzy Analytic Hierarcy Process (FAHP) were presented.