Evaluation of forest fires using remote sensing and geographic information systems: a case study of Mersin province, Silifke district

Mehmet Özgür Çelik; Doğa Fidan; Ali Ulvi; Murat Yakar

Makale detayları

Evaluation of forest fires using remote sensing and geographic information systems: a case study of Mersin province, Silifke district

Yazarlar:

Mehmet Özgür Çelik | Doğa Fidan | Ali Ulvi | Murat Yakar

Yayıncı:

Cankiri Karatekin University

Ana Başlıklar:

Mühendislik

Dergi:

Anadolu Orman Araştırmaları Dergisi Vol.9 Issue 2, pp.116-125

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001298335

pISSN:

1309-856X

Anahtar kelimeler:

Özet:

 Forest fires are events that negatively affect the environment and living creatures. In order to prevent these fires, and to develop post-fire regeneration techniques, it is vital to promptly evaluate the damage amount and to investigate the fires severity. Remote sensing RS is frequently used with Geographic Information Systems GIS to map fire-affected areas and fire intensity. In this study, the forest fire in Silifke district in Mersin took place in 2021 was examined. Before and following the fire, NDVI Normalized Difference Vegetation Index and NBR Normalized Burn Ratio indexes were derived using Sentinel-2A and Landsat 8 OLI satellite images. The index maps were used to generate difference maps, and the change in land cover after the fire, as well as the intensity of the fire, was determined. Accordingly, the total area burned is 2324.71 hectares. The study area is made up of 27.72 644.44 ha of high fire areas, 66.72 1538.16 ha of moderate fire areas, and 6.11 142.11 ha of low fire areas. Furthermore, the analysis was validated using fire data from the EFFIS database for the research area. The receiver operating characteristic ROC curve was employed for this operation, and area under the curve AUC value was calculated at 0.973. The conclusions are intended to assist the General Directorate of Forestry GDF and other decision-makers to practice sustainable land management.

 Forest fires are events that negatively affect the environment and living creatures. In order to prevent these fires, and to develop post-fire regeneration techniques, it is vital to promptly evaluate the damage amount and to investigate the fires severity. Remote sensing RS is frequently used with Geographic Information Systems GIS to map fire-affected areas and fire intensity. In this study, the forest fire in Silifke district in Mersin took place in 2021 was examined. Before and following the fire, NDVI Normalized Difference Vegetation Index and NBR Normalized Burn Ratio indexes were derived using Sentinel-2A and Landsat 8 OLI satellite images. The index maps were used to generate difference maps, and the change in land cover after the fire, as well as the intensity of the fire, was determined. Accordingly, the total area burned is 2324.71 hectares. The study area is made up of 27.72 644.44 ha of high fire areas, 66.72 1538.16 ha of moderate fire areas, and 6.11 142.11 ha of low fire areas. Furthermore, the analysis was validated using fire data from the EFFIS database for the research area. The receiver operating characteristic ROC curve was employed for this operation, and area under the curve AUC value was calculated at 0.973. The conclusions are intended to assist the General Directorate of Forestry GDF and other decision-makers to practice sustainable land management.

 Forest fires are events that negatively affect the environment and living creatures. In order to prevent these fires, and to develop post-fire regeneration techniques, it is vital to promptly evaluate the damage amount and to investigate the fires severity. Remote sensing RS is frequently used with Geographic Information Systems GIS to map fire-affected areas and fire intensity. In this study, the forest fire in Silifke district in Mersin took place in 2021 was examined. Before and following the fire, NDVI Normalized Difference Vegetation Index and NBR Normalized Burn Ratio indexes were derived using Sentinel-2A and Landsat 8 OLI satellite images. The index maps were used to generate difference maps, and the change in land cover after the fire, as well as the intensity of the fire, was determined. Accordingly, the total area burned is 2324.71 hectares. The study area is made up of 27.72 644.44 ha of high fire areas, 66.72 1538.16 ha of moderate fire areas, and 6.11 142.11 ha of low fire areas. Furthermore, the analysis was validated using fire data from the EFFIS database for the research area. The receiver operating characteristic ROC curve was employed for this operation, and area under the curve AUC value was calculated at 0.973. The conclusions are intended to assist the General Directorate of Forestry GDF and other decision-makers to practice sustainable land management.

 Orman yangınları çevreyi ve canlıları olumsuz etkileyen olaylardır. Bu yangınların önlenmesi ile yangın sonrası ağaçlandırma ve koruma stratejilerinin geliştirilmesi için, hasarın boyutunun belirlenmesi ve yanma şiddetinin hızlı bir şekilde araştırılması gereklidir. Uzaktan algılama UA yangından etkilenen bölgelerin ve yanma şiddetinin haritalanmasında Coğrafi Bilgi Sistemleri CBS ile birlikte sıklıkla kullanılmaktadır. Bu çalışmada, 2021 yılında Mersin ili Silifke içesinde meydana gelen orman yangını incelenmiştir. Sahanın yangın öncesi ve sonrasına ait Sentinel-2A ve Landsat 8 OLI uydu görüntüleri yardımıyla NDVI Normalize Fark Vejetasyon İndeksi ve NBR Normalize Yanma Şiddeti indeksleri hesaplanmıştır. Elde edilen indeks haritalarından fark haritaları oluşturulmuş, yangın sonrasındaki arazi örtüsündeki değişim ve yanma şiddeti belirlenmiştir. Buna göre toplam yanan alanlar 2324,71 hektardır. Yangına yüksek derecede maruz kalan alanlar çalışma alanın 27,72sini 644,44 ha, orta derecede yanan alanlar 66,72sini 1538,16 ha ve düşük seviyede yanan alanlar ise 6,11ini 142,11 ha oluşturmaktadır. Ayrıca, EFFIS veri tabanından elde edilen çalışma alanına ait yangın verisiyle de yapılan analizin doğrulaması gerçekleştirilmiştir. Bu işlem için alıcı işletim karakteristik receiver operating characteristic  ROC eğrisi kullanılmış ve eğri altındaki alan area under the curve - AUC değeri 0,973 olarak hesaplanmıştır. Çıkan sonuçlar, Orman Genel Müdürlüğü OGM yetkililerine ve diğer karar vericilere sürdürülebilir arazi yönetimi uygulamaları konusunda yardımcı olmayı amaçlamaktadır.

Makale detayları

Evaluation of forest fires using remote sensing and geographic information systems: a case study of Mersin province, Silifke district

Yazarlar:

Mehmet Özgür Çelik | Doğa Fidan | Ali Ulvi | Murat Yakar

Yayıncı:

Cankiri Karatekin University

Ana Başlıklar:

Mühendislik

Dergi:

Anadolu Orman Araştırmaları Dergisi Vol.9 Issue 2, pp.116-125

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001298335

pISSN:

1309-856X

Forest fire

Landsat 8 OLI

Sentinel-2A

Sustainable forest managementOrman yangını

Landsat 8 OLI

Sentinel-2A

Sürdürülebilir orman yönetimi

Sayı

Makale detayları

Yazarlar: Mehmet Özgür Çelik | Doğa Fidan | Ali Ulvi | Murat Yakar

Yayıncı: Cankiri Karatekin University

Ana Başlıklar: Mühendislik

Dergi: Anadolu Orman Araştırmaları Dergisi Vol.9 Issue 2, pp.116-125

Belge Tipi: Makale

Yayın Tarihi: 1/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001298335

pISSN: 1309-856X

Sayı

Yazarlar:

Mehmet Özgür Çelik | Doğa Fidan | Ali Ulvi | Murat Yakar

Yayıncı:

Cankiri Karatekin University

Ana Başlıklar:

Mühendislik

Dergi:

Anadolu Orman Araştırmaları Dergisi Vol.9 Issue 2, pp.116-125

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001298335

pISSN:

1309-856X