Fire Burn Severity - Same Year

Fire Burn Severity - Same Year This layer is the current fire year burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. However, in late fire seasons imagery acquired after September 30th may be used. This layer is considered an interim product for the 1-year-later burn severity dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SP). Mapping conducted during the following growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality. #### Methodology: • Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes • Calculate normalized burn severity ratio (NBR) for pre- and post-fire images • Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR • Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5) • Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity) • Apply region-based filters to reduce noise • Confirm burn severity analysis results through visual quality control • Produce a vector dataset and apply Euclidian distance smoothing 2024-05-02 Government of British Columbia marc.rousseau@gov.bc.ca Nature and EnvironmentScience and TechnologyBurn SeverityFireFire ImpactFire SeverityWildfireburnburneddisturbancefire perimetersfire polygonGovernment information Original metadata (https://catalogue.data.gov.bc.ca)HTML https://catalogue.data.gov.bc.ca/dataset/fire-burn-severity-same-year VEG_BURN_SEVERITY_SAME_YR_SPKML https://openmaps.gov.bc.ca/kml/geo/layers/WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SAME_YR_SP_loader.kml VEG_BURN_SEVERITY_SAME_YR_SPWMS https://openmaps.gov.bc.ca/geo/pub/WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SAME_YR_SP/ows?service=WMS&request=GetCapabilities&layers=pub:WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SAME_YR_SP&legend_format=image/png&feature_info_type=text/plain VEG_BURN_SEVERITY_SAME_YR_SPWMS https://openmaps.gov.bc.ca/geo/pub/WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SAME_YR_SP/ows?service=WMS&request=GetCapabilities&layers=pub:WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SAME_YR_SP&legend_format=image/png&feature_info_type=text/plain

This layer is the current fire year burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. However, in late fire seasons imagery acquired after September 30th may be used. This layer is considered an interim product for the 1-year-later burn severity dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SP). Mapping conducted during the following growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality. #### Methodology: • Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes • Calculate normalized burn severity ratio (NBR) for pre- and post-fire images • Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR • Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5) • Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity) • Apply region-based filters to reduce noise • Confirm burn severity analysis results through visual quality control • Produce a vector dataset and apply Euclidian distance smoothing

Made available by the Government of British Columbia

These resources are not under the control of the Government of Canada and the link is provided solely for the convenience of our website visitors. We are not responsible for the accuracy, currency or reliability of the content of this website. The Government of Canada does not offer any guarantee in that regard and is not responsible for the information found through this link.

Visitors should also be aware that information offered by this non-Government of Canada site is not subject to the Privacy Act or the Official Languages Act and may not be accessible to persons with disabilities. The information offered may be available only in the language used by the site. With respect to privacy, visitors should research the privacy policies of this non-government website before providing personal information.

Data and Resources
 View on Map

Contact Information

Electronic Mail Address: Sasha.Nasonova@gov.bc.ca

Similar records