Probabilistic Wildfire Risk Burn Probability Alaska (Image Service)

Note: This image service has been consolidated into a unified service that now includes Alaska (AK), the Continental United States (CONUS), and Hawaii (HI). For access to the updated and combined image service, please visit the new item page: https://usfs.maps.arcgis.com/home/item.html?id=75ca2433ca2e4828a5a0302d92efe64a.National Probabilistic Wildfire Risk Burn Probability (BP) and conditional fire intensity level (FIL) data were generated for Alaska using a geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. [2011]). The FSim system includes modules for weather generation, wildfire occurrence, fire growth, and fire suppression. FSim is designed to simulate the occurrence and growth of wildfires under tens of thousands of hypothetical contemporary fire seasons in order to estimate the probability of a given area (i.e., pixel) burning under current landscape conditions and fire management practices. The data presented here represent modeled BP and FIL for the conterminous US at a 270-meter grid spatial resolution. The six FILs correspond to flame-length classes as follows: FIL1 = This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.