the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Physical, Social, and Biological Attributes for Improved Understanding and Prediction of Wildfires: FPA FOD-Attributes Dataset
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. 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 United States. FPA FOD v6 contains information on location, jurisdiction, discovery time, cause, and final size of >2.3 million wildfires from 1992–2020 in the United States. For each wildfire, we added physical (e.g., weather, climate, topography, infrastructure), biological (e.g., land cover, normalized difference vegetation index), social (e.g., population density, social vulnerability index), and administrative (e.g., national and regional preparedness level, 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 development of machine learning models. The FPA FOD-Attributes dataset is available at https://zenodo.org/record/8381129 (Pourmohamad et al. 2023).
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Yavar Pourmohamad et al.
Status: open (until 31 Dec 2023)
Yavar Pourmohamad et al.
Data sets
Physical, Social, and Biological Attributes for Improved Understanding and Prediction of Wildfires: FPA FOD-Attributes Dataset 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 https://zenodo.org/record/8381129
Model code and software
FPA FOD-Attributes Python Codes Yavar Pourmohamad https://github.com/YavarPourmohamad/FPA-FOD.git
Yavar Pourmohamad et al.
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