LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Fuel Disturbance (FDist) uses the latest 10 years of Annual Disturbance products representing disturbance year and original disturbance code. FDist was a refinement of Vegetation Disturbance (VDist) in LF 1.x products and is a refinement of Historical Disturbance (HDist) in LF Remap to more accurately represent disturbance scenarios within the fuels environment. FDist development involves a comprehensive review of disturbance attributes.
A significant refinement to the LF Remap process was adopted to more accurately represent vegetation within disturbed areas for fuels use, allowing LF Remap to provide "capable fuels" products. What this means is that the Time Since Disturbance (TSD) assignments for disturbed areas have been calculated using an effective year. Year 2019 fuels, for example, may be calculated for the year 2019. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2019 in this example), making the products "2019 capable fuels."
By synchronizing TSDs for surface and canopy fuels, these refinements improve performance of fire behavior modeling and reduce the need for local LF users to update the vegetation and fuel conditions to represent current conditions when using the data operationally. LF Remap fuel products in areas mapped as disturbed within the past 10 years (disturbances since 2009) are delivered with this "capable fuels" functionality.
Disturbances older than 10 years follow the existing LF protocol for removal from FDist and are represented by more recent non-disturbed LF Remap 2016 vegetation. All non-disturbed fuel is based on LF Remap, which is the newest fuel vegetation available.
LANDFIRE uses FDist in the development of Fuels products.
The comma separated value (CSV) file used for the raster attribute table is included in the LF product download in database file (DBF) format.
(Why is the CSV important?)