2012
DOI: 10.1016/j.foreco.2012.08.020
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Mapped versus actual burned area within wildfire perimeters: Characterizing the unburned

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Cited by 165 publications
(158 citation statements)
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“…Accuracy of historical fire data decreases with age, due to both record-keeping and in that older methods of mapping wildfires often demonstrate considerable inaccuracies when compared to modern methods utilizing geospatial technologies [31,42,43]. Our spatial overlap of fire perimeter data assumes that all area within that perimeter burned; however, it is also widely acknowledged that, on average, up to 25% of the area within perimeters does not burn and remains as unburned islands [44][45][46].…”
Section: Limitationsmentioning
confidence: 99%
“…Accuracy of historical fire data decreases with age, due to both record-keeping and in that older methods of mapping wildfires often demonstrate considerable inaccuracies when compared to modern methods utilizing geospatial technologies [31,42,43]. Our spatial overlap of fire perimeter data assumes that all area within that perimeter burned; however, it is also widely acknowledged that, on average, up to 25% of the area within perimeters does not burn and remains as unburned islands [44][45][46].…”
Section: Limitationsmentioning
confidence: 99%
“…Unburned patches within a fire polygon are common [17,55,56] and can significantly alter the differential reflectance at 1 km resolution so that small unburned patches at 30 m resolution can be also considered as unburned at 1 km resolution. When comparing the most used global BA products, all products have been acknowledged to underestimate burned-area and that an increase in pixel size or burned patch elongation, results in larger estimation errors [48].…”
Section: Uncertain Boundaries and Patch Size Underestimationmentioning
confidence: 99%
“…For this assessment, we included all area within fire perimeters. We recognize that there is substantial variability in burn severity, including unburned areas, within MTBS perimeters (Kolden et al 2012), but our goal was to assess all potential overlap with the similarly inclusive and coarseresolution insect polygon data.…”
Section: Fire Data From Monitoring Trends In Burn Severity (Mtbs)mentioning
confidence: 99%
“…Such a constrained approach may help to resolve the insect and non-insect components of our insect-fire likelihood matrix (Appendix D), but it would also reduce further any potential insect-fire overlap. Similarly, the MTBS fire perimeters contain a wide range of fire effectsincluding unburned or unburnable patches (Kolden et al 2012)-that could mask potential insect-fire signals. Future research could focus on how moderate-and high-severity fires are linked to insects and other potential drivers (e.g., climate; Kulakowski and Jarvis 2011).…”
Section: Uncertainties and Future Researchmentioning
confidence: 99%