19 datasets found

LDSim's BPU data layer categorizes site productivity into biophysical classes, mapping historical tree biomass and ecological departures for regional analysis.

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...

Combined probability of wildfire ignitions from both human and natural (lightning) causes across western landscapes.

Probability of naturally caused wildfire ignitions across the western United States.

Probability of human-caused wildfire ignitions across the western United States.

/subbasinResults.zip • zone.tif = geotiff raster depicting zones (unique combinations of Subbasins and biophysical class (BPC); used as the landscape partition for quantifying...

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',...

The California Wildfire & Landscape Resilience Interagency Treatment Dashboard is a first-of-its-kind platform that displays the location and size of federal and state...

Tracks the total number of fires per pixel from 1950 to 2023, categorized by severity.

Tracks the total number of fires per pixel from 1950 to 2023, categorized by severity.

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data

Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data