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Physical, social, and biological attributes for improved understanding and prediction of wildfires: FPA FOD-Attributes dataset
Earth System Science Data ( IF 11.2 ) Pub Date : 2024-06-28 , DOI: 10.5194/essd-16-3045-2024
Yavar Pourmohamad , John T. Abatzoglou , Erin J. Belval , Erica Fleishman , Karen Short , Matthew C. Reeves , Nicholas Nauslar , Philip E. Higuera , Eric Henderson , Sawyer Ball , Amir AghaKouchak , Jeffrey P. Prestemon , Julia Olszewski , Mojtaba Sadegh

Abstract. Wildfires are increasingly impacting social and environmental systems in the United States (US). The ability to mitigate the adverse effects of wildfires increases with understanding of the social, physical, and biological conditions that co-occurred with or caused the wildfire ignitions and contributed to the wildfire impacts. To this end, we developed the FPA FOD-Attributes dataset, which augments the sixth version of the Fire Program Analysis Fire-Occurrence Database (FPA FOD v6) with nearly 270 attributes that coincide with the date and location of each wildfire ignition in the US. FPA FOD v6 contains information on location, jurisdiction, discovery time, cause, and final size of >2.3×106 wildfires in the US between 1992 and 2020 . For each wildfire, we added physical (e.g., weather, climate, topography, and infrastructure), biological (e.g., land cover and normalized difference vegetation index), social (e.g., population density and social vulnerability index), and administrative (e.g., national and regional preparedness level and jurisdiction) attributes. This publicly available dataset can be used to answer numerous questions about the covariates associated with human- and lightning-caused wildfires. Furthermore, the FPA FOD-Attributes dataset can support descriptive, diagnostic, predictive, and prescriptive wildfire analytics, including the development of machine learning models. The FPA FOD-Attributes dataset is available at https://doi.org/10.5281/zenodo.8381129 (Pourmohamad et al., 2023).

中文翻译:


用于提高对野火的理解和预测的物理、社会和生物属性:FPA FOD-Attributes 数据集



摘要。野火对美国的社会和环境系统的影响越来越大。随着对与野火同时发生或引起野火点火并导致野火影响的社会、物理和生物条件的了解,减轻野火不利影响的能力就会增强。为此,我们开发了 FPA FOD 属性数据集,该数据集增强了火灾程序分析火灾发生数据库 (FPA FOD v6) 的第六版,其中包含近 270 个属性,这些属性与美国每次野火点火的日期和位置一致。 FPA FOD v6 包含有关 1992 年至 2020 年间美国 >2.3×106 野火的位置、管辖范围、发现时间、原因和最终规模的信息。对于每场野火,我们添加了物理(例如天气、气候、地形和基础设施)、生物(例如土地覆盖和标准化差异植被指数)、社会(例如人口密度和社会脆弱性指数)和行政(例如,国家和地区的准备水平和管辖范围)属性。这个公开可用的数据集可用于回答有关与人为和闪电引起的野火相关的协变量的许多问题。此外,FPA FOD 属性数据集可以支持描述性、诊断性、预测性和规范性野火分析,包括机器学习模型的开发。 FPA FOD 属性数据集可在 https://doi.org/10.5281/zenodo.8381129 上获取(Pourmohamad 等人,2023)。
更新日期:2024-06-28
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