Average Historical Landscape Fire Risk for Hawai‘i from 1999 to 2016
Dates
Publication Date
2024-04-11
Start Date
1999
End Date
2016
Citation
Trauernicht, C., DeMaagd, N., Lucas, M. 2024. Average Historical Landscape Fire Risk for Hawai‘i from 1999 to 2016. National and Regional Climate Adaptation Science Centers. https://doi.org/10.21429/0czr-0p27.
Summary
This product provides a metric of per-pixel fire risk for the main Hawaiian Islands (excluding Niʻihau) at 30 m x 30 m resolution. The product provides raw values of annual fire probability for the whole year, dry season and wet season as well as binned categorical fire risk values (Low, Moderate, High, Very High) for the same time frames. Categorical thresholds for fire risk are derived from probabilities observed at the time of historical fires in each county. This is a modeled data product trained using historical fire perimeters, ignition density, mean annual temperature, mean annual soil moisture, historical rainfall data , and remotely sensed vegetation cover.
Summary
This product provides a metric of per-pixel fire risk for the main Hawaiian Islands (excluding Niʻihau) at 30 m x 30 m resolution. The product provides raw values of annual fire probability for the whole year, dry season and wet season as well as binned categorical fire risk values (Low, Moderate, High, Very High) for the same time frames. Categorical thresholds for fire risk are derived from probabilities observed at the time of historical fires in each county. This is a modeled data product trained using historical fire perimeters, ignition density, mean annual temperature, mean annual soil moisture, historical rainfall data , and remotely sensed vegetation cover.
The purpose of this data is to show the average annual fire risk across the main Hawaiian islands for uses such, but not limited to, natural resource management, community wildfire preparedness, and emergency preparedness.
Note that the University of Hawai‘i at Mānoa or Dr. Trauernicht will not bear any responsibility for the consequences of using this dataset, which are entirely the responsibility of the user. The data do not offer actual quantification of the potential exposure of homes to the ignition, spread, and intensity of wildfires or embers produced by wildfires. Although the dataset and subsequent analyses may indicate general wildfire patterns for a given area, the actual risk to homes and property can deviate based on the characteristics of the site around an individual home, community, or natural resource area, as well as real-time weather conditions, which the model does not take into account.
Preview Image
Image of Binned Max Current Fire Probability - Annually