AISIX Wildfire 2.0 Canada
AISIX Wildfire 2.0 provides probabilities of wildfire across Canada by incorporating fire ignitions and spread. The dataset also includes historical fire and weather information, along with a 1 to 5 score that considers past fire occurrences and future fire probabilities. This dataset is unique in Canada, offering a valuable tool for insurance professionals, real estate agents, and the public to assess their fire risk and understand how it is evolving due to climate change.
AISIX’s wildfire data layer is generated by building on the state-of-the-art Canadian Forest Service workflow, using the Burn-P3 (Probability, Prediction, and Planning) software. Burn-P3 combines the physically-based fire spread model, Prometheus, with a stochastic approach to determining burn probability, simulating billions of synthetic fire events across climatological, morphological, and biophysical conditions to deliver burn probabilities. AISIX’s workflow aggregates independent burn scenarios to stochastically determine burn probability for the entirety of Canada. Burn-P3 and its evolution, Burn-P3+, are currently used and validated in Canada and internationally, and documented in manuals, reports, and peer-reviewed publications. By using a proprietary data pipeline, burn probability is systematically modelled for any location in Canada.
Once modelling is complete, post-processing is performed on the burn probability dataset to detect and correct boundary artefacts between simulation domains and extrapolates burn probability into the wildland urban interfaces (WUI) of different population centres. Model performance is evaluated at a local scale and as a pan-Canadian aggregate of burn probability to inform ongoing model refinement development.
Proven Wildfire Prediction.
Explore AISIX Solutions' breakthrough technology in accurately forecasting wildfire spread, showcasing preemptive strategies against devastating blazes.
Key Features of Wildfire 2.0
Risk Scoring
Wildfire burn probability and wildfire risk scores.
Cumulative Probabilities
Cumulative wildfire burn probabilities over 1, 10, and 30 years.
Average Probabilities
Average burn probabilities at different radius values (5-50km).
Small Historical Fires
No. of Small Historical Fires
(<200 hectares).
Large Historical Fires
No. of Large Historical Fires
(>200 hectares).
High Resolution
Searchable down to a 250m resolution for all of Canada.
Large Training Model
Based on more than 400 thousand historic fire footprints and over 400 billion simulated fires.
Peer-Reviewed
Builds on top of Canadian Forest Service methodologies that are internationally validated and peer-reviewed.
Unique Model
We use a proprietary and unique combination of both physical-based and statistical-based methods.
Physical-Based Model
We model billions of fires from ignition through spread across real-world vegetation and terrain to determine how likely to burn any location is.
Statistical-Based Model
Statistical methods are used to investigates large datasets, fill data gaps, classify images, time-series analysis.
Open-Sourced
We use open-source data, open-source software, and tie it all together using peer-reviewed methods
Our Model Offers Clear Advantages.
AISIX Wildfire 2.0 provides probabilities of wildfire across Canada, offering a valuable tool for insurance professionals, real estate agents, and the public to assess their fire risk and understand how it is evolving due to climate change.
Our Mission
Empowering Resilience Through Innovation
Our mission is clear: to integrate resilience into the DNA of every business. By pioneering the development of sophisticated AI-driven analytics, AISIX Solutions Inc. provides the clarity and foresight needed to navigate the complexities of climate and hazard risk, ensuring that every decision is informed, strategic, and sustainable.
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