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Consistent, high-accuracy mapping of daily and sub-daily wildfire growth with satellite observations.
- Source :
- International Journal of Wildland Fire; 2023, Vol. 32 Issue 5, p694-708, 15p
- Publication Year :
- 2023
-
Abstract
- Background: Fire research and management applications, such as fire behaviour analysis and emissions modelling, require consistent, highly resolved spatiotemporal information on wildfire growth progression. Aims: We developed a new fire mapping method that uses quality-assured sub-daily active fire/thermal anomaly satellite retrievals (2003–2020 MODIS and 2012–2020 VIIRS data) to develop a high-resolution wildfire growth dataset, including growth areas, perimeters, and cross-referenced fire information from agency reports. Methods: Satellite fire detections were buffered using a historical pixel-to-fire size relationship, then grouped spatiotemporally into individual fire events. Sub-daily and daily growth areas and perimeters were calculated for each fire event. After assembly, fire event characteristics including location, size, and date, were merged with agency records to create a cross-referenced dataset. Key results: Our satellite-based total fire size shows excellent agreement with agency records for MODIS (R <superscript>2</superscript> = 0.95) and VIIRS (R <superscript>2</superscript> = 0.97) in California. VIIRS-based estimates show improvement over MODIS for fires with areas less than 4047 ha (10 000 acres). To our knowledge, this is the finest resolution quality-assured fire growth dataset available. Conclusions and Implications: The novel spatiotemporal resolution and methodological consistency of our dataset can enable advances in fire behaviour and fire weather research and model development efforts, smoke modelling, and near real-time fire monitoring. We developed a fire mapping method that uses active fire data from the MODIS and VIIRS instruments on board satellites to develop a high-resolution wildfire growth database. The satellite-derived fire events show excellent agreement with agency records (R <superscript>2</superscript> ≥ 0.95). This method can enable many fire-weather modelling and real-time fire applications. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10498001
- Volume :
- 32
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- International Journal of Wildland Fire
- Publication Type :
- Academic Journal
- Accession number :
- 163842700
- Full Text :
- https://doi.org/10.1071/WF22048