pFRID 2023: Significant Fire Regime Departures - Masked to Highlight Statistically Significant Deviations

Highlights statistically significant fire regime deviations, masking areas with p-values ≤ 2.5% or ≥ 97.5%.

Data and Resources

Additional Info

Field Value
Last Updated July 14, 2025, 16:14 (UTC)
Created July 14, 2025, 15:04 (UTC)
accessRights To read more about the access rights pertaining to this dataset, (a) click on the download button to the left of "1.1 MB" and (b) fill out a form titled "Please complete the form below to access our dataset"; execute these steps at the following link: https://www.vpdatacommons.org/datasets/significantly-departed-pfrid-2024
creationMethod Learn more about dataset's creation method at: https://www.vpdatacommons.org/datasets/significantly-departed-pfrid-2024
creatorEmail mkoontz@usgs.gov
creatorName Dr. Mike Koontz
creatorWebsite https://www.usgs.gov/staff-profiles/michael-j-koontz
dataAuthType public
dataProvenance [{"date":"2023-09-13","name":"Creation and publication of dataset"},{"date":"2023-09-13","name":"Dataset updated"},{"date":"2024-06-05","name":"Dataset updated"},{"date":"2025-03-06","name":"Dataset updated"},{"date":"2025-05-12","name":"Dataset updated"}]
dataType GeoTIFF
datasetPageUrl https://www.vpdatacommons.org/datasets/significantly-departed-pfrid-2024
docsURL https://www.vpdatacommons.org/datasets/significantly-departed-pfrid-2024
doi https://doi.org/10.17605/OSF.IO/PXJZK
issueDate 2023-09-13
lang en
lastUpdateDate 2025-05-12
license cc-by-nc-sa
pocEmail mkoontz@usgs.gov
pocName Dr. Mike Koontz
pocWebsite https://www.usgs.gov/staff-profiles/michael-j-koontz
publisherEmail katharyn@vibrantplanet.net
publisherName Dr. Katharyn Duffy
publisherWebsite https://www.vibrantplanet.net/team/dr-katharyn-duffy
purpose This dataset provides Percent Fire Return Interval Departure (pFRID) estimates based on Vibrant Planet's 2023 analytical approach, with data masked to highlight areas of significant departure. Using a p-value derived from a binomial distribution, the dataset only includes pixels where the null hypothesis significance test yields values ≤ 2.5% or ≥ 97.5%. This masking ensures that the dataset focuses on areas with statistically significant deviations from historical fire frequencies, offering a targeted resource for land managers and researchers.The dataset spans 17 western U.S. states, with partial coverage in 5 additional states, providing actionable insights for wildfire management and ecological restoration efforts.
status submitted
theme ["wildfire"]
uploadType dataset