Machine Learning Method for Assessing Fire Risk in Wildland-Rural and Urban Interface Regions: The Example of Istanbul’s European Side
Ercüment Aksoy,
Abdulkadir Kocer,
İsmail Yilmaz
et al.
Abstract:As in many parts of the world, rural-urban, forest-urban interface areas surrounding urban regions expose the natural areas they interact with to a threat of fire risk that can reach various sizes. This risk has been assessed for various regions of the world using many different methods and numerical models so far. Among these, it is seen that machine learning models have successful applications in risk assessment and risk prediction studies. For the fire risk prediction of Istanbul's yet unurbanized regions, … Show more
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