TY  - JOUR
T1  - Uzaktan Algılama ve CBS Kullanılarak Orman Yangınlarının Etkilerinin Analizi: Taşköprü 2020 Orman Yangını Örneği
TT  - Analysis of the Effects of Forest Fires Using Remote Sensing and GIS: The Case of the 2020 Taşköprü Forest Fire
AU  - Kaynak, Tolga
PY  - 2025
DA  - September
Y2  - 2025
DO  - 10.48123/rsgis.1643526
JF  - Türk Uzaktan Algılama ve CBS Dergisi
JO  - Turk J Remote Sens GIS
PB  - Halil AKINCI
WT  - DergiPark
SN  - 2717-7165
SP  - 168
EP  - 180
VL  - 6
IS  - 2
LA  - tr
AB  - Orman yangınları, ekosistem üzerinde önemli çevresel etkiler yaratan ve doğal kaynakların sürdürülebilirliğini tehdit eden afetler arasında yer almaktadır. 2020 yılında Kastamonu ilinin Taşköprü ilçesinde meydana gelen orman yangınının yangın öncesi ve sonrası ekolojik değişimleri belirlemek için Sentinel-2 ve Landsat 8 uydu görüntülerinden elde edilen Fark Normalize Edilmiş Yanma Oranı (dNBR), Fark Normalize Edilmiş Bitki örtüsü İndeksi (dNDVI) ve Fark Arazi Yüzey Sıcaklığı (dLST) haritaları kullanılmıştır. Bu haritalar Avrupa Orman Yangın Bilgi Sistemi (EFFIS) verileriyle karşılaştırılarak doğruluk analizi yapılmıştır. dNBR sonuçları Sentinel-2 için %84,44, Landsat 8 için %81,53 doğruluk oranı ile yangın alanlarını yüksek doğrulukla belirlemiştir. dNDVI analizleri ise Sentinel-2 ve Landsat 8 için sırasıyla %77,84 ve %74,81 doğruluk sağlamıştır. Ayrıca, dLST haritası %77,26 doğruluk oranına ulaşmıştır. Sonuçlar, Sentinel-2 görüntülerinin daha yüksek mekânsal çözünürlüğe sahip olması nedeniyle yangın alanlarını belirlemede daha doğru sonuçlar verdiğini göstermiştir. Bununla birlikte, uydu verilerinin spektral bant genişlikleri, görüntüleme zamanlamaları ve atmosferik etkiler gibi faktörler de doğruluk üzerinde önemli etkiye sahip olmuştur. Bu çalışma, orman yangınlarının tespitinde Uzaktan Algılama (UA) ve Coğrafi Bilgi Sistemleri (CBS) tekniklerinin etkinliğini vurgulamakta; ayrıca yangın yönetim ve ekosistem restorasyon stratejilerinin geliştirilmesine yönelik bir bilimsel katkı sunmaktadır.
KW  - Orman yangını
KW  - CBS
KW  - Uzaktan algılama
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UR  - https://doi.org/10.48123/rsgis.1643526
L1  - https://dergipark.org.tr/tr/download/article-file/4625935
ER  -