| Makale Türü |
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| Dergi Adı | Spatial Information Research | ||
| Dergi ISSN | 2366-3286 Dergi Bilgileri (2026) | ||
| Makale Dili | – | Basım Tarihi | 01-2026 |
| Kabul Tarihi | 25-05-2026 | Yayınlanma Tarihi | 16-06-2026 |
| Cilt / Sayı / Sayfa | 34 / 4 / 43–0 | DOI | 10.1007/s41324-026-00690-z |
| Makale Linki | https://link.springer.com/article/10.1007/s41324-026-00690-z | ||
| UAK Araştırma Alanları |
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| Özet |
| Aegean and Mediterranean countries have been experiencing many forest fires which caused extensive ecological damage and posed significant risks to habitants in recent years due to extreme temperature anomalies. Post-fire analyses are essential for rapidly assessing wildfire impacts and informing future mitigation strategies. This study investigates the effects of the Çeşme wildfire in İzmir, Türkiye, which began on July 2, 2025, and lasted four days, using Sentinel-2 and Sentinel-5P satellite imagery. Changes in vegetation conditions were examined using normalized difference moisture index (NDMI), normalized burn ratio index (NBR), normalized difference vegetation index (NDVI), and green chlorophyll vegetation index on the Google Earth Engine cloud-based platform. Burned area extent was quantified using differenced normalized burn ratio (dNBR) while changes of nitrogen dioxide (NO 2) and carbon … |
| Anahtar Kelimeler |
| Dergi Adı | Spatial Information Research |
| Kısa Adı | SPAT INF RES |
| Yayıncı | SPRINGER SINGAPORE PTE LTD |
| Açık Erişim | Hayır |
| ISSN | 2366-3286 |
| E-ISSN | 2366-3294 |
| Wos Quartile | Q3 |
| Scopus Quartile | Q2 |
| Tarandığı Indeksler | ESCI , Scopus |
| WoS Kategoriler | REMOTE SENSING |
| Scopus Kategoriler | ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE APPLICATIONS | COMPUTERS IN EARTH SCIENCES | GEOGRAPHY, PLANNING AND DEVELOPMENT |