Bitek Deniz, Sanli Fusun Balik, Erenoglu Ramazan Cuneyt
Planning and Risk Reduction Department, Provincial Disaster and Emergency Directorate, Edirne, Türkiye.
Department of Geomatic Engineering, Yildiz Technical University, Istanbul, Türkiye.
Environ Monit Assess. 2024 Dec 16;197(1):60. doi: 10.1007/s10661-024-13474-5.
Forest fires are one of the most dangerous disasters that threaten the natural environment, life, and diversity worldwide. The frequency of these fires and the size of the impact area have been increasing in recent years. Remote sensing methods are frequently used to detect areas affected by forest fires, to map the burned areas, to follow the course of fires, and to reveal verious statistical data. In this study, forest fires that occurred on 16.07.2023 and 22.08.2023 in Çanakkale province were analyzed using Landsat-8/9 and Sentinel-2 satellite images and various remote sensing indices. By using the images before and after the fires, the burned areas were determined and the performance of different indices were compared. The areas affected by fires were revealed using dNBR (Differenced Normalized Burn Ratio), RBR (Relative Burn Ratio), and dNDVI (Differenced Normalized Difference Vegetation Index) indices. The fire-affected areas were calculated as 3,244.41 hectares (ha) and 4,292.37 ha for the July and August fires with Landsat-8/9 images, respectively; and 3,312.08 ha and 4,445.03 ha with Sentinel-2 images, respectively. In addition, the accuracy analysis of the areas calculated using different indices was performed. By comparing the results of the analysis and accuracy assessment, the performances of Landsat-8/9 and Sentinel-2 images were determined. According to the results obtained, the Overall Accuracy values of the areas affected by fires were between 0.76 - 0.89, Kappa statistical values were between 0.52 - 0.78, and the highest value in the calculation of the burned areas was the dNBR index for both Landsat-8/9 and Sentinel-2 images.
森林火灾是威胁全球自然环境、生命和生物多样性的最危险灾害之一。近年来，这些火灾的发生频率和影响区域的规模一直在增加。遥感方法经常用于检测受森林火灾影响的区域、绘制烧毁区域的地图、跟踪火灾进程以及揭示各种统计数据。在本研究中，利用Landsat - 8/9和哨兵 - 2卫星图像以及各种遥感指数，对恰纳卡莱省在2023年7月16日和2023年8月22日发生的森林火灾进行了分析。通过使用火灾前后的图像，确定了烧毁区域，并比较了不同指数的性能。利用差值归一化燃烧比（dNBR）、相对燃烧比（RBR）和差值归一化植被指数（dNDVI）指数揭示了受火灾影响的区域。对于7月和8月的火灾，使用Landsat - 8/9图像计算出的受火灾影响面积分别为3244.41公顷（ha）和4292.37公顷；使用哨兵 - 2图像计算出的受火灾影响面积分别为3312.08公顷和4445.03公顷。此外，还对使用不同指数计算出的面积进行了精度分析。通过比较分析结果和精度评估结果，确定了Landsat - 8/9和哨兵 - 2图像的性能。根据所得结果，受火灾影响区域的总体精度值在0.76 - 0.89之间，卡帕统计值在0.52 - 0.78之间，并且对于Landsat - 8/9和哨兵 - 2图像，在计算烧毁面积时最高值均为dNBR指数。
