2016
DOI: 10.4996/fireecology.1203099
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Relating Fire-Caused Change in Forest Structure to Remotely Sensed Estimates of Fire Severity

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Cited by 53 publications
(53 citation statements)
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“…Looking at a portion of the Stanislaus that burned in the Rim Fire, Lydersen et al. () found high‐severity patches had significantly greater densities of small trees, but no significant difference in basal area than areas that burned at lower severity, and in an untreated portion of Yosemite, Harris and Taylor () found that tree species composition varied with fire severity. However in another study in Yosemite, Kane et al.…”
Section: Discussionmentioning
confidence: 99%
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“…Looking at a portion of the Stanislaus that burned in the Rim Fire, Lydersen et al. () found high‐severity patches had significantly greater densities of small trees, but no significant difference in basal area than areas that burned at lower severity, and in an untreated portion of Yosemite, Harris and Taylor () found that tree species composition varied with fire severity. However in another study in Yosemite, Kane et al.…”
Section: Discussionmentioning
confidence: 99%
“…For wildfires that occur in forested lands of California, there are typically two versions of the RdNBR fire‐severity map available, the initial and extended assessments (Miller and Quayle , Lydersen et al. ). In the initial assessment, RdNBR is calculated by comparing imagery acquired immediately (30–45 d) after fire containment to imagery acquired prior to the fire.…”
Section: Methodsmentioning
confidence: 99%
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“…In result, recent occurrences of uncharacteristically large and intense wildfires, that have caused the loss of key ecosystem components, are thought to be clear consequences of such altered forested ecosystems [45,46]. Because ecological restoration techniques aimed at reducing the accumulation of excessive fuels and encouraging understory vegetation growth [47][48][49] are now planned for the region, a detailed understanding of tree distribution patterns is important for restoration managers, planners, and scientists [50]. Few studies have assessed the landscape or regional patterns of structural diversity in coniferous forests of the southwestern USA using remote sensing.…”
Section: Introductionmentioning
confidence: 99%