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Found 285 dataset(s) matching "Normalized burn ratio".
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This product is published on a provisional basis to provide necessary information to individuals assessing burn severity impacts on a time sensitive basis. This product was produced using the...
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The dataset contains spectral indices values calculated from Landsat imagery, normalized difference vegetation index (NDVI) and delta normalized burn ratio (NBR, deltaNBR). The spectral indices...
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U.S Geological Survey (USGS) scientists conducted field data collection efforts during the time periods of September 5 - 14, 2018, November 8 - 13, 2018, June 18 - 27, 2019, July 30 - August 8,...
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This dataset provides a 28-year time series of peak greenness (NDVI) data derived from Landsat 5 TM imagery over the boreal forest region of Canada. Landsat 5 TM scenes were collected for 46...
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Following wildfire, mountainous areas of the western United States are susceptible to enhanced runoff and erosion and an increased vulnerability to debris flow during intense rainfall. Convective...
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Arid ecosystems are often vulnerable to transformation to invasive-dominated states following fire, but data on persistence of these states are sparse. The grass/fire cycle is a feedback process...
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This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio...
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These data provide on the ground estimates of burn severity as estimated by the Composite Burn Index (CBI). Data were collected between 1996 and 2018 for fires that burned during this time...
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These data provide on-the-ground estimates of burn severity as estimated by the Composite Burn Index (CBI) for fires that burned between 1994 and 2018. Landsat imagery was subsequently used to...
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These data provide on-the-ground estimates of burn severity as estimated by the Composite Burn Index (CBI) for fires that burned between 1994 and 2018. Landsat imagery was subsequently used to...
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These data provide on-the-ground estimates of burn severity as estimated by the Composite Burn Index (CBI) for fires that burned between 1994 and 2018. Landsat imagery was subsequently used to...
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This dataset provides annual cumulative end-of-season burned area in circumpolar boreal forests and tundra for the years 2002-2022. The data were generated using the Arctic Boreal Burned Area...
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This data consists of presence/absence observations for post-fire conifer regeneration. The data also includes estimates of plot-level topography (slope, aspect), relativized differenced...
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This dataset includes spatial projections of the post-fire recruitment index for ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) using climate data from different time...
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This data consists of presence/absence observations for post-fire conifer regeneration. The data also includes estimates of plot-level topography (slope, aspect), relativized differenced...
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These data support poscrptR (wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model...
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This data consists of presence/absence observations for post-fire conifer regeneration. The data also includes estimates of plot-level topography (slope, aspect), relativized differenced...
