| Yazarlar (2) |
Prof. Dr. Fatih SİVRİKAYA
Kastamonu Üniversitesi, Türkiye |
Arş. Gör. Döndü DEMİREL
Kastamonu Üniversitesi, Türkiye |
| Özet |
| Forest fires are a notable phenomenon that causes substantial destruction to natural resources. To control or prevent forest fires, modeling fire risk levels is essential. Using fire occurrence data, 36 different variables, and the maximum entropy (MaxEnt) model, a forest fire risk map for the Mediterranean region was generated in this study. The fire risk map was developed using four primary variables: topography, climate, forest structure, and human interference. Low, moderate, high, and extreme classes covered 35.6%, 34.2%, 17.0%, and 13.2% of the forested areas, according to the forest fire risk map based on MaxEnt. According to the MaxEnt model, the variable that most affected the forest fire risk was tree species, which accounted for approximately 44% of the fire events. The accuracy of the model was evaluated using the receiver operating characteristic (ROC) analysis, and the area under the curve (AUC) was ... |
| Anahtar Kelimeler |
| dNBR | Landsat | MaxEnt | MODIS | ROC |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Advances in Space Research |
| Dergi ISSN | 0273-1177 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2025 |
| Sayı | 1 |
| Doi Numarası | 10.1016/j.asr.2025.01.050 |
| Makale Linki | https://doi.org/10.1016/j.asr.2025.01.050 |
| Atıf Sayıları |
