Physical, social, and biological attributes for improved understanding and prediction of wildfires: FPA FOD-Attributes dataset

Pourmohamad, Yavar, Abatzoglou, John T, Belval, Erin J., Fleishman, Erica, Short, Karen, Reeves, Matthew C., Nauslar, Nicholas, Higuera, Philip E., Henderson, Eric, Ball, Sawyer, AghaKouchak, Amir, Prestemon, Jeffrey P., Olszewski, Julia and Sadegh, Mojtaba, (2024). Physical, social, and biological attributes for improved understanding and prediction of wildfires: FPA FOD-Attributes dataset. Earth System Science Data, 16(6), 3045-3060

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  • Sub-type Journal article
    Author Pourmohamad, Yavar
    Abatzoglou, John T
    Belval, Erin J.
    Fleishman, Erica
    Short, Karen
    Reeves, Matthew C.
    Nauslar, Nicholas
    Higuera, Philip E.
    Henderson, Eric
    Ball, Sawyer
    AghaKouchak, Amir
    Prestemon, Jeffrey P.
    Olszewski, Julia
    Sadegh, Mojtaba
    Title Physical, social, and biological attributes for improved understanding and prediction of wildfires: FPA FOD-Attributes dataset
    Appearing in Earth System Science Data
    Volume 16
    Issue No. 6
    Publication Date 2024-06-28
    Place of Publication Göttingen
    Publisher Copernicus publications
    Start page 3045
    End page 3060
    Language eng
    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 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 10.5281/zenodo.8381129 (Pourmohamad et al., 2023)
    Copyright Holder author(s)
    Copyright Year 2024
    Copyright type Creative commons
    DOI https://doi.org/10.5194/essd-16-3045-2024
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    Created: Thu, 24 Oct 2024, 02:03:04 JST by Haideh Beigi on behalf of UNU INWEH