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The Impacts of Burn Severity on Forest Resiliency in British Columbia Murray, Brent
Description
Understanding how resilient forests are after wildfire events is important to forest management practices. The objective of this study was to use Landsat-8 data to understand how the burn severity of the Little Bobtail Lake wildfire has impacted forest regrowth several years later. This was done by deriving different vegetation indices to see how the changes in vegetation health were impacted by burn severity. Additionally, landscape pattern metrics were used to understand the changes in the spatial patterns of the burn severity and vegetation health over time. The results showed that the higher the burn severity, the greater the impact on vegetation health immediately after the wildfire, as well as a slower return to pre-fire conditions. When compared to the pre-fire values, the post-fire Normalized Difference Vegetation Index and the Tasseled Cap Greenness values showed an initial drop in the R2 value and then a rise in value four years after the wildfire. This differed from the Tasseled Cap Wetness values as the R2 showed a continual drop in value. When looking at the changes in the spatial patterns for vegetation health, the Sparse Vegetation class showed the greatest change for Core Area with a 3.72 hectare increase every year. When looking at burn severity, the High Severity class showed the greatest decrease in core area with a loss of 2.63 hectares every year. These results show that monitoring vegetation regrowth can be done using Landsat-8 derived vegetation health indices as well as with spatial pattern analysis.
Item Metadata
Title |
The Impacts of Burn Severity on Forest Resiliency in British Columbia
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Alternate Title |
How has the burn severity of the Little Bobtail Lake wildfire impacted forest regrowth?
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Creator | |
Contributor | |
Date Issued |
2021-04-12
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Description |
Understanding how resilient forests are after wildfire events is important to forest management practices. The objective of this study was to use Landsat-8 data to understand how the burn severity of the Little Bobtail Lake wildfire has impacted forest regrowth several years later. This was done by deriving different vegetation indices to see how the changes in vegetation health were impacted by burn severity. Additionally, landscape pattern metrics were used to understand the changes in the spatial patterns of the burn severity and vegetation health over time. The results showed that the higher the burn severity, the greater the impact on vegetation health immediately after the wildfire, as well as a slower return to pre-fire conditions. When compared to the pre-fire values, the post-fire Normalized Difference Vegetation Index and the Tasseled Cap Greenness values showed an initial drop in the R2 value and then a rise in value four years after the wildfire. This differed from the Tasseled Cap Wetness values as the R2 showed a continual drop in value. When looking at the changes in the spatial patterns for vegetation health, the Sparse Vegetation class showed the greatest change for Core Area with a 3.72 hectare increase every year. When looking at burn severity, the High Severity class showed the greatest decrease in core area with a loss of 2.63 hectares every year. These results show that monitoring vegetation regrowth can be done using Landsat-8 derived vegetation health indices as well as with spatial pattern analysis.
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Subject | |
Geographic Location | |
Type | |
Language |
English
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Date Available |
2021-04-07
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Provider |
University of British Columbia Library
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License |
CC-BY 4.0
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DOI |
10.14288/1.0396664
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URI | |
Publisher DOI | |
Rights URI | |
Country |
Canada; Canada
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Aggregated Source Repository |
Dataverse
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Item Media
Item Citations and Data
Licence
CC-BY 4.0