LANDFIRE
Description
USGS EROS has provided the expertise and staff to conduct LANDFIRE mapping for over 20 years. LANDFIRE products provide the nationally consistent, high-quality vegetation and fuels data needed to support wildfire management, land-use planning, ecosystem restoration, and habitat management. By producing and updating these datasets, EROS ensures that federal, state, tribal, and local partners all work from the same trusted information, improving coordination and decision-making. The national scope and scientific rigor of EROS mapping make LANDFIRE an indispensable foundation for assessing risk, allocating resources, and sustaining resilient landscapes across the United States.
Detailed example
LANDFIRE produces a variety of geospatial products to support the fire community, including Existing Vegetation Cover, Existing Vegetation Type, Existing Vegetation Height, Environmental Site Potential, Biophysical Settings, and more.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
LANDFIRE produces a variety of geospatial products to support the fire community, including Existing Vegetation Cover, Existing Vegetation Type, Existing Vegetation Height, Environmental Site Potential, Biophysical Settings, and more
Controls / human review
ATO: No; PIA: Not published
Data needed
Landsat data are the foundation of LANDFIRE data products. Field plot to train and validate mapping and monitoring datasets include data from the Forest Inventory and Analysis (FIA) program, Natural Resources Conservation Service (NRCS), National Park Service, and other federal, state, and academic sources.