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LANDFIRE is the working name given to the Landscape Fire and Resource Management Planning Tools Project ( The project was initiated in response to mega-fires and the need for managers to have consistent, wall-to-wall (i.e., all wildlands regardless of agency/ownership),…
Author(s): Kevin C. Ryan, Tonja S. Opperman
Keywords: decision support, fire behavior, wildland fuels, fire planning, LANDFIRE, mega-fire
Source: Forest Ecology and Management. 294: 208-216.
Year: 2013
Following publication of the original article (Hyde et al., 2015), the authors have noticed two errors in the summarizing of our results and wish to point out the following corrections. Original article: Hyde, Josh; Strand, Eva K.; Hudak, Andrew T.; Hamilton, Dale. 2015. A case study comparison of…
Author(s): Josh Hyde, Eva K. Strand, Andrew T. Hudak, Dale Hamilton
Keywords: coarse woody debris, duff, fire effects, fuel loading models, Fuels Characterization Classification System, LANDFIRE
Source: Fire Ecology. 15: 23.
Year: 2019
Forecasting spatial patterns of mountain pine beetle (MPB) population success requires spatially explicit information on host pine distribution. We developed a means of producing spatially explicit datasets of pine density at 30-m resolution using existing geospatial datasets of vegetation…
Author(s): Benjamin A. Crabb, James A. Powell, Barbara J. Bentz
Keywords: mountain pine beetle, pine density maps, aerial detection survey, LANDFIRE
Source: Res. Pap. RMRS-RP-93WWW. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 43 p.
Year: 2012
Landscape-scale fire behavior analyses are important to inform decisions on resource management projects that meet land management objectives and protect values from adverse consequences of fire. Deterministic and probabilistic geospatial fire behavior analyses are conducted with various modeling…
Author(s): LaWen T. Hollingsworth, Laurie L. Kurth, Bernard R. Parresol, Roger D. Ottmar, Susan J. Prichard
Keywords: fire behavior, FlamMap, Fuel Characteristic Classification System, LANDFIRE, Southern Wildfire Risk Assessment
Source: Forest Ecology and Management. 273: 43-49.
Year: 2012
Quantifying the historical range and variability of landscape composition and structure using simulation modeling is becoming an important means of assessing current landscape condition and prioritizing landscapes for ecosystem restoration. However, most simulated time series are generated using…
Author(s): Robert E. Keane, Lisa M. Holsinger, Russell A. Parsons, Kathy Gray
Keywords: landscape modeling, climate change, wildland fire, vegetation dynamics, HRV, time series, departure, LANDSUM, LANDFIRE
Source: Forest Ecology and Management. 254: 375-389.
Year: 2008
Canopy and surface fuels in many fire-prone forests of the United States have increased over the last 70 years as a result of modern fire exclusion policies, grazing, and other land management activities. The Healthy Forest Restoration Act and National Fire Plan establish a national commitment to…
Author(s): Robert E. Keane, Matthew Rollins, Zhi-Liang Zhu
Keywords: integrated ecological modeling, historical range and variation, landscape modeling, LANDFIRE, fire management, fire regimes
Source: Ecological Modelling. 204(3-4): 485-502.
Year: 2007
The National Tree-List Layer (NTLL) project used LANDFIRE map products to produce the first national tree-list map layer that represents tree populations at stand and regional levels. The NTLL was produced in a short time frame to address the needs of Fire and Aviation Management for a map layer…
Author(s): Stacy A. Drury, Jason M. Herynk
Keywords: fire hazard, tree-list, LANDFIRE, imputation, nearest-neighbor
Source: Gen. Tech. Rep. RMRS-GTR-254. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 26 p.
Year: 2011
This simulation research was conducted in order to develop a large-fire risk assessment system for the contiguous land area of the United States. The modeling system was applied to each of 134 Fire Planning Units (FPUs) to estimate burn probabilities and fire size distributions. To obtain stable…
Author(s): Mark A. Finney, Charles W. McHugh, Isaac C. Grenfell, Karin L. Riley, Karen C. Short
Keywords: wildfire risk, simulation research, LANDFIRE
Source: Stochastic Environmental Research and Risk Assessment. 25: 973-1000.
Year: 2011
LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applications. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field information to…
Author(s): James E. Vogelmann, Jay R. Kost, Brian Tolk, Stephen Howard, Karen Short, Xuexia Chen, Chengquan Huang, Kari Pabst, Matthew G. Rollins
Keywords: landscape monitoring, LANDFIRE, Landsat, MODIS, time series analyses
Source: IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 4(2): 252-264.
Year: 2011
Technological advances in the area of fuel and wildland fire management have created a need for effective decision support tools and technology training. The National Interagency Fuels Committee and LANDFIRE have chartered a team to develop science-based learning tools for assessment of fire and…
Author(s): Eva K. Strand, Kathy H. Schon, Jeff Jones
Keywords: GIS, online resources, independent learning, LANDFIRE
Source: In: Wade, Dale D.; Robinson, Mikel L., eds. Proceedings of 3rd Fire Behavior and Fuels Conference; 25-29 October 2010; Spokane, WA. Birmingham, AL: International Association of Wildland Fire. 11 p.
Year: 2010