Fire

Analyzes climate exposure, vulnerability and investment choices.

Open-source Python library by James Adams that computes drought, fire and flood-potential indices such as SPI, SPEI, the Palmer family and KBDI from station or gridded precipitation and temperature.

EarthDaily's wildfire risk model, which combines satellite observations, daily weather and other geospatial data into ignition likelihood, fuel hazard and directional vulnerability layers, sold to insurers in the western United States.

Wildfire risk platform from Opal AI Inc. of Marina del Rey, California, that combines imagery, lidar, GIS, weather and field data into risk rankings and mitigation recommendations for utilities, fire agencies and insurers.

Models wildfire behavior and exposure for fire agencies and electric utilities.

Lidar-derived model from CTrees of forest fire fuels as one-metre voxels carrying canopy, ladder and ground fuel properties, demonstrated at three US sites and published as open 3D arrays for fire models to read.

Where might a fire spread, which assets are exposed, and where would mitigation help?