Integrating hydrological parameters in wildfire risk assessment: a machine learning approach for mapping wildfire probability

Integrating hydrological parameters in wildfire risk assessment: a machine learning approach for mapping wildfire probability

The increasing occurrence of catastrophic wildfire across the globe threatens public health, community safety, ecosystem functioning, and biodiversity resilience. Wildfire risk is closely connected to shifting climatic trends and their impacts on fuel availability and flammability. Although previous...

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Bibliographic Details
Main Authors: Mahsa Khodaee, Kelly Easterday, Kirk Klausmeyer
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research Letters
Subjects:
wildfire probability
hydrology
actual evapotranspiration
recharge
random forest
Online Access:https://doi.org/10.1088/1748-9326/ad80ad

Internet

https://doi.org/10.1088/1748-9326/ad80ad

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