Assessing Fire Risk in Wildland–Urban Interface Regions Using a Machine Learning Method and GIS data: The Example of Istanbul’s European Side

Assessing Fire Risk in Wildland–Urban Interface Regions Using a Machine Learning Method and GIS data: The Example of Istanbul’s European Side

Like many places around the world, the wildland–urban interface areas surrounding urban regions are subject to variable levels of fire risk, threatening the natural habitats they contact. This risk has been assessed by various authors using many different methods and numerical models. Among these ap...

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Bibliographic Details
Main Authors: Ercüment Aksoy, Abdulkadir Kocer, İsmail Yilmaz, Arif Nihat Akçal, Kudret Akpinar
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Fire
Subjects:
fire risk
wildland–urban interface
rural–urban interface
machine learning classification
GIS
Online Access:https://www.mdpi.com/2571-6255/6/10/408

Internet

https://www.mdpi.com/2571-6255/6/10/408

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