31 datasets found

Combined likelihood of wildfire ignitions from human and natural (lightning) causes in southeastern ecosystems.

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 naturally caused wildfire ignitions across the southeastern United States.

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

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

Highlights statistically significant fire regime deviations, masking areas with p-values ≤ 2.5% or ≥ 97.5%.

Calculates fire regime deviations based on Safford et al.'s methodology, using historic presettlement averages for comparison.

Quantifies fire regime deviations using advanced statistical testing, accounting for historical variability across 17 western U.S. states.

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.

These rasters depict the predicted human- and lightning-caused ignition probability for the state of California. Ignition is regulated by complex interactions among climate,...

Fire severity classification (low, moderate, high) that burned within the last 10 years (2012-2021). The difference-adjusted relativized difference normalized burn ratio (RDNBR)...

The original point layer (WildfireOccurrence_CA_1992_2020.shp ) contains a spatial database of wildfires that occurred in the United States from 1992 to 2020. It is the fifth...

Annual Burn Probability represents the likelihood of a wildfire of any intensity occurring at a given location (pixel) in a single fire season. In a complete assessment of...

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