BGS Hosted Metadata
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
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
Simple
- Date (Publication)
- 2023-01-17
- Citation identifier
- https://catalogue.ceh.ac.uk/id/8162887a-5481-440f-a7f2-427eee793efd
- Citation identifier
- doi: / 10.5285/8162887a-5481-440f-a7f2-427eee793efd
- Other citation details
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Dugdale, S.J., Field, R., Johnson, M., Mariani, M., Pugh, B., Schrodt, F., Thorne, C. (2023). 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. NERC EDS Environmental Information Data Centre 10.5285/8162887a-5481-440f-a7f2-427eee793efd
- Point of contact
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Organisation name Individual name Electronic mail address Role University of Nottingham
Dugdale, S.J.
Author University of Nottingham
Field, R.
Author University of Nottingham
Johnson, M.
Author University of Nottingham
Mariani, M.
Author University of Nottingham
Pugh, B.
Author University of Nottingham
Schrodt, F.
Author University of Nottingham
Thorne, C.
Author University of Nottingham
Dugdale, S.J.
Point of contact University of Nottingham
Owner NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher
- Access constraints
- Other restrictions
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- Registration is required to access this data
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Contains modified Copernicus Sentinel data [2020, 2021]
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If you reuse this data, you should cite: Dugdale, S.J., Field, R., Johnson, M., Mariani, M., Pugh, B., Schrodt, F., Thorne, C. (2023). 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. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/8162887a-5481-440f-a7f2-427eee793efd
- Spatial representation type
- Grid
- Distance
- 10 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Imagery base maps earth cover
- Begin date
- 2020-01-01
- End date
- 2021-12-30
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- Unique resource identifier
- WGS 84
- Distribution format
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Name Version TIFF
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/8162887a-5481-440f-a7f2-427eee793efd Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/8162887a-5481-440f-a7f2-427eee793efd.zip Supporting information
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- Dataset
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dataset
Conformance result
- Title
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Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Statement
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20 m bands of Two Sentinel-2A images of study site (pre/post-fire; June 2020 and 2021) were super-resolved to 10m following Lanaras et al (2018) These data were subsequently used to generate raster files depicting 10m resolution Normalised Burn Ratio (NBR) across South Fork McKenzie River, where NBR = (Sentinel Band B08 - B12) / (B08 + B12), following the methodology outlined in Keeley (2009). Subtraction of postfire from prefire NBR rasters facilitates estimation of burn severity by highlighting vegetation burn in relation to pre-burnt state. Lanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319 https://doi.org/10.1016/j.isprsjprs.2018.09.018 Keeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126. https://doi.org/10.1071/WF07049
Metadata
- File identifier
- 8162887a-5481-440f-a7f2-427eee793efd XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T09:34:32
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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