Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece

Fire Pub Date : 2024-01-05 DOI:10.3390/fire7010020
Anna Dosiou, Ioannis Athinelis, Efstratios Katris, Maria Vassalou, Alexandros Kyrkos, P. Krassakis, I. Parcharidis
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Abstract

In 2023, Greece faced its worst wildfire season, with nine major fires causing unprecedented environmental damage of 1470.31 km2. This article uses Copernicus Land Monitoring Service and Sentinel-2 data, employing advanced remote sensing and GIS techniques to analyze spatial dynamics, map burn severity, assess fire extent, and highlight pre-fire tree density and land cover. The study focuses on the catastrophic fire in the Evros region and the damage to the National Forest Park of Dadia–Lefkimmi–Soufli. It also analyzes significant fires in Rhodes, Attica, Thessaly, Evia, Corfu, and Magnesia, emphasizing the compounded challenges posed by terrain, climate, and human factors in those areas. Additionally, the climate data for each affected area were compared with the weather conditions prevailing at the time of the fires. Copernicus Land Cover and Tree Density data are integrated to aid future management, assessment, and restoration. The analysis of maps and fire statistics underscores a notable pattern: areas with higher pre-fire tree density experienced correspondingly higher burn severity. This research underscores the crucial role of such data in assessing wildfire impact. In addition, compared with Copernicus Emergency Management Service, the burned area maps validate the accuracy and reliability of the utilized satellite data. The total burned area was assessed with a high accuracy rate of 96.28%.
利用哥白尼陆地服务和哨兵-2 卫星任务数据评估希腊 2023 年极端森林火灾的空间动态和分布情况
2023 年,希腊遭遇了最严重的野火季节,九次大火造成了前所未有的环境破坏,总面积达 1470.31 平方公里。本文利用哥白尼土地监测服务和哨兵-2 数据,采用先进的遥感和地理信息系统技术分析空间动态、绘制火灾严重程度图、评估火灾范围并突出火灾前的树木密度和土地覆盖。研究重点是埃夫罗斯地区的灾难性火灾以及达迪亚-莱夫基米-苏弗利国家森林公园遭受的破坏。研究还分析了罗得岛、阿提卡、塞萨利、埃维亚、科孚岛和马格尼西亚的重大火灾,强调了这些地区的地形、气候和人为因素带来的复杂挑战。此外,还将每个受灾地区的气候数据与火灾发生时的天气状况进行了比较。哥白尼土地覆盖和树木密度数据被整合在一起,以帮助未来的管理、评估和恢复。对地图和火灾统计数据的分析强调了一个显著的模式:火灾发生前树木密度较高的地区,火灾严重程度也相应较高。这项研究强调了此类数据在评估野火影响方面的关键作用。此外,与哥白尼应急管理服务相比,烧毁面积地图验证了所使用卫星数据的准确性和可靠性。评估总烧毁面积的准确率高达 96.28%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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