8162887a-5481-440f-a7f2-427eee793efd English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:16:38 UK GEMINI 2.3 WGS 84 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 2023-01-17 publication https://catalogue.ceh.ac.uk/id/8162887a-5481-440f-a7f2-427eee793efd 10.5285/8162887a-5481-440f-a7f2-427eee793efd doi: 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 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 Dugdale, S.J. University of Nottingham stephen.dugdale@nottingham.ac.uk author Field, R. University of Nottingham richard.field@nottingham.ac.uk author Johnson, M. University of Nottingham m.Johnson@nottingham.ac.uk author Mariani, M. University of Nottingham michela.mariani@nottingham.ac.uk author Pugh, B. University of Nottingham brittpugh11@gmail.com author Schrodt, F. University of Nottingham franziska.schrodt1@nottingham.ac.uk author Thorne, C. University of Nottingham colin.thorne@nottingham.ac.uk author Dugdale, S.J. University of Nottingham stephen.dugdale@nottingham.ac.uk pointOfContact University of Nottingham stephen.dugdale@nottingham.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher fire river restoration GEMET - Concepts, version 4.1.3 2019-01-28 creation Burn severity Normalised burn ratio Sentinel-2 South fork mckenzie Stage zero Wildfire otherRestrictions Registration is required to access this data otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions Contains modified Copernicus Sentinel data [2020, 2021] otherRestrictions 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 grid 10 English utf8 imageryBaseMapsEarthCover 2020-01-01 2021-12-30 -122.29 -122.23 44.13 44.16 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/8162887a-5481-440f-a7f2-427eee793efd Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/8162887a-5481-440f-a7f2-427eee793efd.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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