Landfire Forest Canopy Bulk Density (Hawaii) (Image Service)

Metadata Updated: December 3, 2020

The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy bulk density (CBD) is defined as the mass of available canopy fuel per unit canopy volume that would burn in a crown fire (Van Wagner 1977; Scott and Reinhardt 2001; Keane et al. 2005). A spatially explicit map of canopy bulk density supplies information used in fire behavior models such as FARSITE (Finney 1998) to determine the spread characteristics of crown fires across the landscape. The CBD mapping process began by deriving field referenced estimates of canopy characteristics through LFRDB plot analysis. Approximately 45,000 plots were acquired throughout the US for estimating CBD. Utilizing these plots, field referenced CBD values were computed for each plot using the canopy fuel estimation software FuelCalc (Reinhardt et al. 2006b). Go to https://landfire.gov/participate_refdata_sub.php for more information regarding contributors of field plot data. (Some tree species had no crown biomass equation. In this situation, a published equation for a species with a similar genus was used as a substitute. Not all species were used for computing plot-level CBD. For example, all Acer and Populus spp. were excluded from the canopy fuel profile as these and other broadleaved species are considered relatively inflammable and therefore unavailable.) In an effort to model the relationship between these stand and canopy characteristics the outputs from the FuelCalc computations were analyzed using a gamma log-link generalized linear model (GLM) (McCullagh and Nelder 1983). From this analysis plot level CBD estimates related to canopy cover (CC), stand height (CH) and membership in a pinyon-juniper EVT allowing for CBD to be modeled. (Further explanation and discussion of this GLM can be found in Reeves et al, 2009). The resultant GLM was applied spatially across a mapping zone through the use of the LANDFIRE Fuels Change Mapping Tool, or LFTFC, to provide a mapped estimate of CBD. These preliminary CBD data products were finalized after applying a series of post-processing techniques and logic checks ensuring that the canopy fuel products were relevant in the context of the other fuel layers and fire behavior predictions. All non - forest values, including herbaceous and most shrub systems and non-burnable types such as urban, barren, snow and ice and agriculture, were coded as 0. Some stands dominated by broadleaf species which typically do not permit initiation of crown fire (e.g. Populus spp.) are coded with a CBD of 0.01 kg m-3. Since crown fire is rarely observed in most hardwood stands, the lowest CBD value possible was used to prevent false simulation of crown fire in these areas. Certain types of agriculture that are deemed burnable get a value added by LFTFC based on region and type of vegetation. It should be noted that LANDFIRE layers will not include canopy characteristics in fuel types where the tree canopy is considered a part of the surface fuel and the surface fire behavior fuel model is chosen to reflect these conditions. This is because LANDFIRE assumes that the potential burnable biomass in the shorter tree canopies has been accounted for in the surface fuel model parameters. For example, maps of areas dominated by young or short conifer stands where the trees are represented by a shrub type fuel model will not include canopy characteristics. LANDFIRE 2014 (lf_1.4.0) used LANDFIRE 2012 (lf_1.3.0) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape after 2012. Specific examples of disturbance are: fire, vegetation management, wind, and insect and disease. Disturbance data used in the updating is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE events data call. Vegetation growth was modeled where disturbance occurred. Metadata and Downloads

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Public: This dataset is intended for public access and use. License: See this page for license information.

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Dates

Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020
Publisher U.S. Forest Service
Unique Identifier Unknown
Maintainer
Identifier https://data-usfs.hub.arcgis.com/datasets/db716605342d43d9867c7a451e36d1c8
Data First Published 2019-08-09
Data Last Modified 2020-06-10
Category geospatial
Public Access Level public
Bureau Code 005:96
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Homepage URL https://data-usfs.hub.arcgis.com/datasets/db716605342d43d9867c7a451e36d1c8
License https://data-usfs.hub.arcgis.com/datasets/db716605342d43d9867c7a451e36d1c8/license.json
Metadata Type geospatial
Program Code 005:059
Source Datajson Identifier True
Source Hash cdfee0ec51983d208a214aac22736d55ef593bf0
Source Schema Version 1.1
Spatial -160.5545,18.8399,-154.728,22.2867

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