OMB Individually Reported

TreeMap and FuelMap (all versions)

Low riskExact public inventory row

Description

Produce tree-level model of the forests of the US, and corresponding model of fuel loading.

Detailed example

The AI outputs maps at 30x30m scale for the Conterminous United States (CONUS) of the imputed Forest Inventory and Analysis (FIA) plot identifier. From these maps, we also create maps of attributes such as forest type, number of live and dead trees per acre, biomass, carbon, etc.

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

TreeMap and FuelMap enable modeling of fuel treatments (amount of wood removed, reduction in fire risk), smoke emissions, and biomass estimation

Controls / human review

ATO: No; PIA: Not published

Data needed

Forest inventory plot data from Forest Inventory and Analysis (FIA), and data from Landscape Fire and Resource Management Planning Tools (LANDFIRE) and Daymet