MAPPING FIRE SEVERITY FROM RECENT CALIFORNIA WILDFIRES USING SATELLITE IMAGERY

C. Apraku, Y. Twumasi, Z. H. Ning, M. Anokye, P. Loh, R. Armah, J. Oppong
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Abstract

Abstract. Urban sprawl has become a huge concern for cities like Los Angeles, New York, and Chicago in recent years. As urban sprawl pushes urbanization into city suburbs and outskirts, forest fragmentation becomes evidently prevalent and exposes forests to high temperatures, pollution, pests, and fires that threaten forest health. A 2021 report titled Rebuilding for a Resilient Recovery affirmed that the frequency and damage potential of wildfires have been exacerbated by climate change and urban sprawl especially in California. Globally, these fires can be attributed to both natural and anthropogenic drivers such as deforestation, agriculture, mining, and industrialization. Future projections predict that these incidences of fires will only worsen as the planet continues to warm further, with emphasis on the spread and intensities of the annual California wildfires over the decade. Quantifying the consequences of these fires on global climate change has become crucial and with the emergence of advanced GIS mapping tools, focus, visualization, and interpretation of fire and burn severity has become easier. However, knowledge and understanding of wildfire dynamics is limited especially in terms of fuel load, impacts on vegetation health, aerosol release and associated movement in the atmosphere. It is therefore important to address these gaps to make better and informed actions towards forest use, protection, management, and policies and broadly towards ambitious climate goals such as the UN’s Carbon Neutral goal by 2050. This study uses Sentinel 2A data from the Copernicus fleet between 2018 and 2022 to identify and assess the burn severity of affected areas in Sonoma County, California. The aim of the study is to understand the impacts of fires of fire on vegetation health and the post-fire recovery process. The Normalized Burn Ration Index (NBRI) was used to identify and measure the extent of the burnt areas within the county and their severity and Normalized Difference Vegetation Index (NDVI) was used as a measure of forest heath. The results show that Sonoma County has become a high burn severity area with a major decrease in unburned areas between 2018 and 2022. NDVI values recorded all decrease from January to December for all the years because of pre-fire season drought. The wildfire season begins in May and before then there are seasonal droughts that occur hence accounting for the initial decline in NDVI. The least values recorded were between 0.5 and 0.57 for September, indicating sparse and unhealthy vegetation because of sharp declines during the fire season.
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利用卫星图像绘制最近加州野火的火灾严重程度
摘要近年来,城市扩张已经成为洛杉矶、纽约和芝加哥等城市的一个巨大问题。随着城市扩张将城市化推进到城市郊区和郊区,森林破碎化变得明显普遍,并使森林暴露于高温、污染、害虫和火灾之中,威胁森林健康。2021年一份题为“重建弹性复苏”的报告证实,气候变化和城市扩张加剧了野火的频率和潜在破坏,尤其是在加州。在全球范围内,这些火灾可归因于自然和人为驱动因素,如森林砍伐、农业、采矿和工业化。未来的预测预测,随着地球继续变暖,这些火灾的发生率只会恶化,重点是十年来每年加州野火的蔓延和强度。量化这些火灾对全球气候变化的影响已经变得至关重要,随着先进的GIS制图工具的出现,火灾和烧伤严重程度的焦点、可视化和解释变得更加容易。然而,对野火动态的认识和理解是有限的,特别是在燃料负荷、对植被健康的影响、气溶胶释放和相关的大气运动方面。因此,重要的是要解决这些差距,在森林利用、保护、管理和政策方面采取更好和明智的行动,并广泛地实现雄心勃勃的气候目标,如联合国到2050年的碳中和目标。本研究使用2018年至2022年哥白尼舰队的哨兵2A数据来识别和评估加利福尼亚州索诺玛县受影响地区的烧伤严重程度。该研究的目的是了解火灾对植被健康和火灾后恢复过程的影响。用归一化烧损指数(NBRI)识别和衡量县域内烧损范围和严重程度,用归一化植被差异指数(NDVI)衡量森林健康状况。结果表明,索诺玛县已成为高烧伤严重地区,2018年至2022年未烧毁面积大幅减少。由于火前干旱,历年1 - 12月NDVI值均呈下降趋势。野火季节从5月开始,在此之前会发生季节性干旱,因此导致NDVI最初下降。9月的最小值在0.5 ~ 0.57之间,表明火灾季节植被急剧减少,植被稀疏,不健康。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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