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The Canadian Fire Spread Dataset
Quinn E Barber1, Piyush Jain2, Ellen Whitman2
1Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada, 5320-122 Street NW, Edmonton, AB, T6H 3S5, Canada. quinn.barber@nrcan-rncan.gc.ca.
This study introduces the Canadian Fire Spread Dataset (CFSDS), mapping wildfire progression and environmental factors. This valuable resource aids fire management and climate change impact research.
Area of Science:
- Environmental Science
- Remote Sensing
- Geospatial Analysis
Background:
- Satellite data are crucial for mapping wildfires, especially in remote areas.
- Geolocated fire detections enhance fire management and modeling through daily progression mapping.
Purpose of the Study:
- To present the Canadian Fire Spread Dataset (CFSDS), containing interpolated wildfire progressions for large fires in Canada (2002-2021).
- To provide daily fire progression data with 50 environmental covariates for each pixel.
Main Methods:
- Utilized ordinary kriging of active fire detections from MODIS and VIIRS to calculate day-of-burning.
- Integrated daily weather, derived weather metrics, topography, and forest fuel characteristics with fire progression data.
Main Results:
- Developed a comprehensive dataset with improved coverage and resolution for wildfire progression.
- Established links between environmental conditions and fire behavior across Canada.
Conclusions:
- The CFSDS offers a robust tool for retrospective fire spread analysis and validating fire models.
- This dataset is essential for forecasting climate change effects on wildfire activity and informing management strategies.
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