Method and system for predicting wildfire hazard and spread at multiple time scales
US11966670B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Jan 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/086
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses, methods, and systems for generating gridded predictions of a probability of wildfire spread for geographies are disclosed. One method includes sensing observational climate and earth surface data, obtaining historical data on wildfire spread events, obtaining gridded climate data, creating a set of input features, creating a gridded wildfire data set, training a model that learns one or more probabilistic mapping function emulators between the set of input features and the gridded wildfire data set, which predicts a first probability of wildfire occurrence and a rate and extent of wildfire spread within a geographical region and at a specified period of time, and generating gridded wildfire prediction data including a second probability of wildfire occurrence and spread within the geographical region, using the model and a new set of input features over the geographical region but for a different time period.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.