Post-Fire Vegetation Recovery in Northern Manitoba from 2010 to 2023
by Kopitz, Sarah / Borealis Harvested Dataverse·Updated 2mo ago
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Description
168,837 hectares of a 2013 wildfire complex in northern Manitoba were analyzed using Landsat imagery from 2010 to 2023. The dataset, created by Sarah Kopitz, uses NDVI, NBR, and dNBR indices to assess burn severity and spectral recovery over a decade. Most pixels reached 80% of pre-fire NDVI within four years, while recovery rates varied by burn severity and pre-fire land cover.
Use Cases
Modeling vegetation recovery rates based on burn severity classes derived from dNBR.
Comparing spectral recovery timelines using NDVI versus NBR metrics.
Analyzing the influence of pre-fire land cover types, such as shrub and herb classes, on post-fire succession.
Monitoring long-term landscape change in remote boreal regions using annual satellite time series.
Strengths
Covers a large study area of approximately 168,837 hectares.
Uses a 13-year time series of Landsat imagery from 2010 to 2023.
Provides local insights into recovery patterns specific to northern Manitoba's boreal landscape.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data may reflect geographic bias inherent to the single study area in northern Manitoba.