Fire severity and pre-fire NDVI for western US fires, 1985-2022

These raster datasets represent the bias-corrected composite burn index (CBI) for all fires in the western US, 1985-2022 and pre-fire normalized differenced vegetation index (NDVI) as measured the year before the fire. These are raster datasets (30 m resolution) and were produced using the procedure described here: https://www.mdpi.com/2072-4292/11/14/1735.These datasets were produced for a study published in Global Change Biology titled 'Intensifying fire season aridity portends ongoing expansion of severe wildfire in western US forests': https://doi.org/10.1111/gcb.70429If you use these data, please these two papers:Parks SA, et al. (2019) Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests. Remote Sensing, 11(14), Article 14. https://doi.org/10.3390/rs11141735Parks SA, Coop JD, Davis KT (2025) Intensifying fire season aridity portends ongoing expansion of severe wildfire in western US forests. Global Change Biology, 31(8): e70429. https://doi.org/10.1111/gcb.70429