LANDFIRE Data and Applications

Fact Sheet 2022-3034
By:  and 



LANDFIRE is a Federal program that provides a suite of spatial datasets indicating areas of disturbance, vegetation and fuels distributions and structure, and historical conditions. The level of detail presented in LANDFIRE’s classifications of disturbance, vegetation, and fuels is unparalleled and can be used in a variety of applications, including (1) modeling wildfire risk and fire behavior, (2) modeling habitat and species ranges, (3) understanding how disturbances affect the landscape, and (4) researching departure from precolonial conditions. Additionally, the all-lands paradigm of LANDFIRE mapping creates spatial data that do not stop at jurisdictional boundaries. The primary research and management applications of LANDFIRE data are detailed in this fact sheet, providing users with a well-rounded understanding of the potential of LANDFIRE’s spatial data layers.

Suggested Citation

La Puma, I.P., and Hatten, T.D., 2022, LANDFIRE data and applications: U.S. Geological Survey Fact Sheet 2022–3034, 4 p.,

ISSN: 2327-6932 (online)

ISSN: 2327-6916 (print)

Study Area

Table of Contents

  • Mapping Process
  • LANDFIRE Data—Essential for National Fire Assessments and Managing Large Wildfires
  • LANDFIRE Data Inform Habitat Research
  • LANDFIRE—High-Quality Annual Disturbance Maps at the Ready
  • LANDFIRE Also Has Fire and Treatment Perimeter Data
  • LANDFIRE’s Plot Data and Machine Learning—Keeping Pace
  • Biophysical Settings and Fire Regimes—A Glimpse into the Past
  • LANDFIRE—Your Source for Disturbance, Vegetation, and Fuel Spatial Data
  • References Cited
Publication type Report
Publication Subtype USGS Numbered Series
Title LANDFIRE data and applications
Series title Fact Sheet
Series number 2022-3034
DOI 10.3133/fs20223034
Year Published 2022
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 4 p.
Country United States
Online Only (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details