USDA · USDA-167 · record R1465

LANDFIRE

Department of Agriculture · Natural Resources and Environment

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2004-01-01 (day precision)Source: 1/1/2004
Withheld from public reporting: Not reported

Mission

Topic area: Emergency Management
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Improve fire behavior prediction by mapping vegetation and detecting disturbances for the United States contributing to the downstream production of current fuel types and fuel metrics.

Expected benefits

Increasing accuracy in fire behavior prediction models and assessing, prioritizing, and reducing risk for firefighters and land managers.

System outputs

LANDFIRE produces a comprehensive, consistent, and scientifically credible collection of more than 25 geospatial layers focusing on disturbance, vegetation, and fuel metrics that are used by fire behavior modeling on active wildfires, as well as for prescribed fire planning and smoke management.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): LANDFIRE
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: The Landscape Fire and Resource Management Planning Tools (LANDFIRE) reference database includes plot data from across the United States including Forest Inventory and Analysis plots, Bureau of Land Management Assessment Inventory and Monitoring plots, National Resources Conservation Service National Resource Inventory plots as well as other national and state inventories.
Federal Data Catalog: catalog.data.gov ↗

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported