High resolution burn severity data (derived from satellite imagery) for the South Fork McKenzie River in Oregon, USA, before and after a wildfire event, 2020 and 2021

• Published by: Environmental Information Data Centre
• Last updated: 10 May 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020. Raw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground. The study was conducted by the University of Nottingham, in partnership with the US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/8162887a-5481-440f-a7f2-427eee793efd

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Link to the data	Format	File added	Data preview
Supporting information	ZIP	10 May 2023	Not available
Download the data	N/A	10 May 2023	Not available

Additional information

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• Added to data.gov.uk: 2023-05-05T10:31:02
• Access contraints: Contains modified Copernicus Sentinel data [2020, 2021]
• Harvest GUID: 8162887a-5481-440f-a7f2-427eee793efd
• Extent: Latitude: 44.16° to 44.13°
• Extent: Longitude: -122.29° to -122.23°
• Dataset reference date: 2023-01-17 (publication)
• Responsible party: University of Nottingham (author, pointOfContact, owner); NERC EDS Environmental Information Data Centre (custodian, publisher)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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