Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices
Yazarlar (4)
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
Prof. Dr. Alkan Günlü Çankiri Karatekin Üniversitesi, Türkiye
Prof. Dr. Ömer KÜÇÜK Kastamonu Üniversitesi, Türkiye
Doç. Dr. Okan Ürker Çankiri Karatekin Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Ecological Informatics (Q1) | ||
| Dergi ISSN | 1574-9541 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2024 |
| Cilt / Sayı / Sayfa | 79 / 1 / 102461–0 | DOI | 10.1016/j.ecoinf.2024.102461 |
| Makale Linki | http://dx.doi.org/10.1016/j.ecoinf.2024.102461 | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| Fire is one of the most important natural catastrophes threatening the forest ecosystem. The severity and frequency of forest fires are increasing daily due to the increase in population in vulnerable areas and the effects of global climate change. Creating fire risk maps and using them to take the required protective actions to prevent fires will decrease the adverse effects of forest fires. This study focused on producing and comparing fire risk maps based on four vegetation indices, the Normalized Burn Ratio (NBR) index, Normalized Burn Ratio Thermal (NBRT) index, Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI) and data gathered with the use of remote sensing devices. The Muğla Regional Directorate of Forestry, which is in the Mediterranean climate zone and has experienced mega-fires, was selected as the case study area. Fire risk maps were prepared for the … |
| Anahtar Kelimeler |
| Fire risk map | NBR | Normalized band indices | Remote sensing |
Science Direct
Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 29 |
| Scopus | 35 |
| Google Scholar | 60 |