cal-fire

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ChelseaKR / inspected

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Updated Aug 17, 2026
Python

ChelseaKR / perimeter

Sponsor

Star

Unofficial, beta. Two coverage measurements over California's public wildfire datasets, published as counts: FRAP's historical fire perimeters and CAL FIRE's DINS damage inspections. Each operationalizes a limitation the publisher already states, so a code meaning unknown is never counted as a recorded value.

python geospatial gis static-site california open-data civic-tech transparency data-quality frap wildfire completeness wildfire-data disaster-data cal-fire damage-assessment fire-perimeters dins irwin

Updated Aug 22, 2026
HTML

awzucker / california_wildfires

Star

A study on the environmental conditions impacting the likelihood and scope of wildfires in California. Co-authored by Adam Zucker, Carly Sharma, and Jake Parker.

predictive-modeling cal-fire california-wildfires

Updated Dec 23, 2020
Jupyter Notebook

some-rando / Palisades-Fire-2025-KML

Star

KML File and script to generate the file to show the official damage assessment from CAL FIRE for the 2025 Palisades Fire for use with Google Earth Pro, possibly other GIS software too.

fire california kml wildfire cal-fire damage-assessment google-earth-pro palisades calfire

Updated Mar 1, 2025
Python

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