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pFRID 2023: Safford et al. Methodology - Historic Presettlement Fire Regimes...
Calculates fire regime deviations based on Safford et al.'s methodology, using historic presettlement averages for comparison. -
pFRID 2023 - Vibrant Planet Analytical Approach
Quantifies fire regime deviations using advanced statistical testing, accounting for historical variability across 17 western U.S. states. -
pFRID 2023: Significant Fire Regime Departures - Masked to Highlight...
Highlights statistically significant fire regime deviations, masking areas with p-values ≤ 2.5% or ≥ 97.5%. -
Wildfire Ignition Probability - Human - Western Region
Probability of human-caused wildfire ignitions across the western United States. -
Wildfire Ignition Probability - Natural - Southeastern Region
Probability of naturally caused wildfire ignitions across the southeastern United States. -
Wildfire Ignition Probability - Human - Southeastern Region
Probability of human-caused wildfire ignitions across the southeastern United States. -
Wilfire Ignition Probability - Natural - Western Region
Probability of naturally caused wildfire ignitions across the western United States. -
Wildfire Ignition Probability - Composite - Western Region
Combined probability of wildfire ignitions from both human and natural (lightning) causes across western landscapes. -
Wildfire Ignition Probability - Composite - Southeastern Region
Combined likelihood of wildfire ignitions from human and natural (lightning) causes in southeastern ecosystems. -
Cumulative Fire Count - Total Count
Tracks the total number of fires per pixel from 1950 to 2023, categorized by severity. -
Cumulative Fire Count - Severity
Tracks the total number of fires per pixel from 1950 to 2023, categorized by severity. -
VibrantVS Canopy Height Model (CHM) - Validation Sample
This project is a collection of the test dataset for reproducing the analysis from the VibrantVS model manuscript. The test dataset contains paired "NAIP", aerial "lidar CHM",... -
LDSim GPU - Geophysical Unit
LDSim's GPU data layer models vegetation patterns, fire return intervals, and ecological departures at fine scales (~50 acres) to inform site-level restoration and management... -
LDSim Subbasin
/subbasinResults.zip • zone.tif = geotiff raster depicting zones (unique combinations of Subbasins and biophysical class (BPC); used as the landscape partition for quantifying... -
LDSim BPU Biophysical Classes (BPCs)
LDSim's BPU data layer categorizes site productivity into biophysical classes, mapping historical tree biomass and ecological departures for regional analysis.