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Osborne™ · Wildland Fire Modelling, Analysis, and Mapping Tool

Using the power of AI to predict wildland fire behavior in real time.

Osborne is a fire model that scores itself against real fires. Tessera, its planned threat-analysis tool, will turn the model into time-to-fire warnings for crews. It is built by Trajanus, an applied-AI company.

See how Osborne works 2027 Field Program

Status: in development, used in-house. Results are model scenarios, not validated forecasts.

What you are watching: Osborne's model of the 2022 Hermits Peak Fire growing over 24 model hours, coloured by fire intensity. Model scenario, not yet audited.

Two things we are building

A better modelling system

Osborne re-runs past fires with the weather actually recorded, scores the model against each mapped perimeter, and writes up what it learned. The next run starts from there.

Delivered as a service: we run Osborne and deliver the maps into your own ArcGIS Online.

A threat-analysis tool

Tessera, planned inside Osborne, will check crew positions against the model's fire arrival times and give incident command time-to-fire threat levels. Decision support, never a substitute for LCES.

Planned as a service: crews will share position on ArcGIS Field Maps; incident command will get a live web map.

Built on public fire science: the Forest Service fire labs' models, LANDFIRE, recorded fire perimeters from NIFC and infrared mapping and Esri ArcGIS. Trajanus is a member of the Esri Partner Network. What Osborne is built on →

Why we exist

Yarnell Hill, 30 June 2013

Nineteen Granite Mountain Hotshots died on the Yarnell Hill Fire in Arizona. Incident command could not see where the crew was, or how fast the fire was coming.

Bill King was fighting fire in New Mexico that summer, on the Tres Lagunas Fire. He built the first firefighter-tracking prototype that year. Osborne is that work, rebuilt.

Where Osborne comes from →

2027 Field Program

Measuring real fire

Prescribed burns in Arizona and Colorado, as invited research cooperators. LiDAR before, thermal during, LiDAR after, and Osborne scored against what burned.

We are looking for partners: land managers, drone and LiDAR operators, and universities.

About the program

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