Estimate carbon intensity from field practice to fuel pathway.

Explore the carbon intensity of Michigan corn as a feedstock for sustainable aviation fuel, with field-level scores, management practices, and key lifecycle emission assessment in one interactive map.

See methodology

01

Model foundation

Survey data made model-ready.

FieldFlux CI uses corn survey records with location, planting, yield, tillage, irrigation, manure, fertilizer, residue, and soil variables prepared for model runs.

02

Hybrid modeling

SALUS simulates the field emissions. GREET calculates the carbon intensity score.

SALUS is a process-based crop and soil model. It estimates how management decisions affect soil carbon and in-field emissions over time, instead of treating every acre as a simple average. FieldFlux CI then combines those field-level SALUS outputs with GREET lifecycle factors for energy, inputs, hauling, and upstream production to create one corn ethanol carbon intensity score.

03

What the score includes

Carbon intensity for the full production pathway.

The score combines field management and lifecycle components: upstream materials, fuel use, seed production, irrigation energy, hauling, soil carbon, and nitrogen-driven in-field emissions.

01 Soil carbon SALUS modeled change

Can strongly reduce the lifecycle score when modeled soil carbon gains offset emissions.

key assessment
02 N fertilizer Upstream and in-field N2O

Connects survey nitrogen rates to upstream fertilizer burden and in-field emissions.

tracked
03 Field operations Tillage, planting, spraying, harvest

Diesel and operation choices are summarized into application and combustion components.

modeled
04 CI score gCO2e per MJ

The calculator returns the final carbon intensity score for each survey point.

point score