A novel approach for predicting burned forest area

Türkiye'nin Yanan Orman Alanının ARIMA Modeli ile Tahmini

“…Forest fires have been challenging in the past few years in Türkiye as well. In addition, forest fires have a significant impact on nature and human life (Oncel Cekim, Güney, Şentürk, Özel, & Özkan, 2021:2189. It is therefore of great interest to analyze and predict future burned forest areas in order to decide on suitable forest fire management strategies and to reduce the negative effects of forest fires (Tedim et al, 2018).…”

“…Supervised and unsupervised classification methods are also used for mapping burned forest areas in the studies of Chen, Moriya, Sakai, Koyama, &Cao (2016) andKüçük Matcı &Avdan (2020). Another approach is to use non-parametric techniques as in Oncel Cekim et al (2021). Although time series analysis is commonly used in forecasting future changes in environmental data, there are a limited number of studies evaluating burned forest areas as a time series (Oncel Cekim et al, 2021).…”

“…Another approach is to use non-parametric techniques as in Oncel Cekim et al (2021). Although time series analysis is commonly used in forecasting future changes in environmental data, there are a limited number of studies evaluating burned forest areas as a time series (Oncel Cekim et al, 2021). Owing to this, the ARIMA method, one of the well-known methods used in time series analysis, is employed in this study.…”